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42 Cards solution

42 Cards solution

Agency job
via Qrata by Prajakta Kulkarni
Bengaluru (Bangalore)
10 - 13 yrs
₹25L - ₹28L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+7 more

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

 

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

 

We are currently scouting for Head of Analytics

 

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

 

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

 

Qualification:

  • Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
  • Proven experience (7+ years) in leading analytics teams in the credit card industry
  • Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
  • Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
  • Experience with analytics tools such as SAS, SPSS, or Tableau
  • Excellent leadership and team management skills, with a track record of building and developing high-performing teams
  • Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
  • Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

 

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

 

For more Opportunities Visit: Qrata Opportunities.

Read more
Credit Card processing solutions for banks & NBFCs

Credit Card processing solutions for banks & NBFCs

Agency job
via Qrata by Prajakta Kulkarni
Bengaluru (Bangalore)
7 - 15 yrs
Best in industry
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+3 more


Role: Head of Analytics

Location: Bangalore (Full time)


ABOUT QRATA: 

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing startups using Qrata’s talent marketplaces. To sign-up, please visit Qrata Talent Sign-Up 


ABOUT THE COMPANY WE ARE HIRING FOR: 

Our client is offering credit card solutions for banks and financial institutions. It provides services like credit card design and onboarding, credit card authorization, payment processing, collections and dispute resolutions, credit card fraud detection, and more. They serve in the B2B space in the FinTech market segments.


POSITION OVERVIEW 

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modeling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business.


Responsibilities:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall

business objectives.

o Identify key performance indicators (KPIs) and metrics to track the performance

of the credit card business.

o Collaborate with senior management and cross-functional teams to prioritize and

execute analytics initiatives. 2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.


3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and

integrity across relevant systems and platforms.

o Collaborate with IT teams to optimize data collection, integration, and storage

processes to support advanced analytics capabilities.

o Establish and enforce data privacy and security protocols to comply with

regulatory requirements.


4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.

o Provide guidance and mentorship to the team, promoting professional growth and development.

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.


5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit

card business, and the financial industry.

o Leverage industry best practices to drive innovation and continuous improvement

in analytics methodologies and tools.


Qualifications:


Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.

Proven experience (7+ years) in leading analytics teams in the credit card industry.

Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques.

Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.

Experience with analytics tools such as SAS, SPSS, or Tableau.

Excellent leadership and team management skills, with a track record of building and developing high-performing teams.

Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.

Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience. 

Read more
Hyderabad
3 - 4 yrs
₹10L - ₹15L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+5 more

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.


Responsibilities

  • Lead the CV and DS Team
  • Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
  • Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
  • You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
  • Statistical data modelling and machine learning research.
  • Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
  • Conduct applied research to model complex dependencies, statistical inference and predictive modelling
  • Technological conception, design and implementation of new features
  • Quality assurance of the software through planning, creation and execution of tests
  • Work with a cross-functional team to define, build, test, and deploy applications


Requirements:

  • Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
  • 3-4 years of experience with computer vision and data science.
  • Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
  • Experience building production-quality and well-engineered Computer Vision and Data Science products.
  • Experience in image processing, algorithms and neural networks.
  • Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
  • Solid Python engineering skills and experience with Python, Tensorflow, Docker
  • Cooperative and independent work, analytical mindset, and willingness to take responsibility
  • Fluency in English, both written and spoken.
Read more
Porter.in

at Porter.in

1 recruiter
Agency job
via UPhill HR by Ingit Pandey
Bengaluru (Bangalore)
4 - 8 yrs
₹15L - ₹28L / yr
skill iconPython
SQL
Data Visualization
Data modeling
Predictive modelling
+1 more

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include


Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required


Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.


KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.


Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.


Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.


Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

Read more
Jubilant HR Consultants
Rajdeep Singh
Posted by Rajdeep Singh
Mumbai
2 - 6 yrs
₹15L - ₹25L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Predictive modelling
Key Accountability :

- Provide insights based on data to business teams

- Develop framework, solutions and recommendations for business problems

- Build ML models for predictive solutions

- Use advance data science techniques to build business solutions

- Automation / Optimization of new/existing models ensuring smooth,timely and accurate execution with lowest possible TAT.

- Design & maintenance of response tracking, measurement, and comparison of success parameters of various projects.

- Ability to handle large volumes of data with ease using multiple software like Python ,R etc

Experience in modeling techniques and hands on experience in building Logistic regression models, Random Forrest, K-mean Cluster, NLP, Decision tree, Boosting techniques etc


- Good at data interpretation and reasoning skills
Read more
Archcorp Architectural Engineering
Remote, Dubai
0 - 4 yrs
₹5L - ₹15L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
Neural networks
+4 more
Main Responsibilities:

  • Work closely with your business to identify issues and use data to propose solutions for effective decision making
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
  • Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
  • Querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
  • Test data mining models to select the most appropriate ones for use on a project
  • Work in a POSIX/UNIX environment to run/deploy applications
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
  • Horizon scan to stay up to date with the latest technology, techniques and methods
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

General Expectations:

  • Able to create algorithms to extract information from large data sets
  • Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
  • Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
  • Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
  • Knowledge of Machine Learning techniques and their respective pros and cons
  • Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
  • Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
  • Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
  • Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
  • Hands-on experience on C#, Javascript, .Net
  • Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
  • Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
  • Strong knowledge of computer science, algorithms, and design patterns
  • Strong oral and written communication, and other soft skills critical to collaborating and engage with teams
Read more
Fintech Pioneer | GGN

Fintech Pioneer | GGN

Agency job
via Unnati by Astha Bharadwaj
NCR (Delhi | Gurgaon | Noida)
8 - 13 yrs
₹60L - ₹70L / yr
skill iconData Science
Data Scientist
skill iconPython
SQL
skill iconMachine Learning (ML)
+4 more
Join a leading MCommerce company, set your career on a flight towards success and growth.
 
Our client is one of the oldest fintech companies that is taking banking and financial services to all the customers through their online platform. Having served over 50 million customers in the last 15 years, it is enabling over 7mn banking transactions each month, with a network of nearly 2 lac merchants. Using its vast network of merchant outlets, the platform is reaching the lower and mid-income groups who deal in cash, for them to be able to remit money across the country digitally. It now plans to take its unique digital financial solutions to developing markets across the globe. As pioneers of mobile-based payment services in India, they empower Retailers, Individuals and Businesses to have an online presence and earn or save a little extra through the transactions.
 
As a Head - Data Science, you will be part of the leadership team and will be expected to manage ambiguity & help the Founders & other leaders in building the roadmap forward for the business.
 
You will be expected to adopt an "iron sharpens iron" attitude where you will focus on making everyone and every data-driven process better, blend people leadership/ management skills, use predictive modelling and analytics expertise, cloud computing skills and operational know-how.
 
What you will do:
  • Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
  • Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
  • Conceiving, planning and prioritizing data projects and manage timelines
  • Building analytical systems and predictive models as a part of the agile ecosystem
  • Testing performance of data-driven products participating in sprint-wise feature releases
  • Managing a team of data scientists and data engineers to develop, train and test predictive models
  • Managing collaboration with internal and external stakeholders
  • Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
 

What you need to have:

  • B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
  • 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
  • Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
  • Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
  • We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
  • Strategic thinker with agility and endurance
  • Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
  • Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
  • Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
  • Knowledge and demonstrated skill-sets in AWS
Read more
netmedscom

at netmedscom

3 recruiters
Vijay Hemnath
Posted by Vijay Hemnath
Chennai
5 - 10 yrs
₹10L - ₹30L / yr
skill iconMachine Learning (ML)
Software deployment
CI/CD
Cloud Computing
Snow flake schema
+19 more

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

 

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

 

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

 

Read more
Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Viswanath Subramanian
Posted by Viswanath Subramanian
Remote, Chennai, Bengaluru (Bangalore), Mumbai
3 - 7 yrs
₹12L - ₹25L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Computer Vision
skill iconR Programming
+5 more

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

 

You will: 

  • Understand business problems and translate business requirements into technical requirements. 
  • Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
  • Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
  • Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
  • Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
  • Lead and mentor data analysts. 

 

We are looking for someone who has: 

 

  • Apart from your love for data and ability to code even while sleeping you would need the following. 
  • Minimum of 02 years of experience in designing and delivery of data science solutions. 
  • You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
  • Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
  • Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
  • Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

  • Regression
  • Classification
  • Predictive Modelling
  • Prescriptive Modelling
  • Python
  • R
  • Descriptive Modelling
  • Time Series
  • Clustering
  •  

What is in it for you: 

 

  • Be a part of building the biggest brand in Data science. 
  • An opportunity to be a part of a young and energetic team with a strong pedigree. 
  • Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

 

Please Note:  

 

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

Read more
Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Kavitha J
Posted by Kavitha J
Remote, Chennai, Bengaluru (Bangalore), Mumbai
3 - 6 yrs
₹12L - ₹20L / yr
skill iconData Science
Data Scientist
skill iconR Programming
skill iconPython
Predictive modelling
+3 more

Ganit Inc. is the fastest growing Data Science & AI company in Chennai.

Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.

We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.

We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.

 

Started with 3 people, the company is fast growing with 100+ employees

 

1. What do we expect from you

 

- Should posses minimum 2 years of experience of data analytics model development and deployment

- Skills relating to core Statistics & Mathematics.

- Huge interest in handling numbers

- Ability to understand all domains in businesses across various sectors

- Natural passion towards numbers, business, coding, visualisation

 

2. Necessary skill set:

 

- Proficient in R/Python, Advanced Excel, SQL

- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions

- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.

- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)

- Should have handled large datasets and with through understanding of SQL

- Ability to handle a team of Data Analysts

 

3. Good to have skill set:

 

- Microsoft PowerBI / Tableau / Qlik View / Spotfire

 

4. Job Responsibilities:

 

- Translate business requirements into technical requirements

- Data extraction, preparation and transformation

- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation

- Create and implement data models

- Interact with clients for queries and delivery adoption

 

5. Screening Methodology

 

- Problem Solving round (Telephonic Conversation)

- Technical discussion round (Telephonic Conversation)

- Final fitment discussion (Video Round

 

 

Read more
Defi Tech Pvt Ltd

at Defi Tech Pvt Ltd

1 recruiter
Defi Connect
Posted by Defi Connect
Remote only
3 - 7 yrs
₹7.5L - ₹20L / yr
skill iconPython
skill iconDjango
Predictive modelling
skill iconAmazon Web Services (AWS)
Microsoft Windows Azure
+5 more
We are working on fintech products. You will be working on data automation, backend to handle large amounts of data, process, and AI/ML integration in the product
What we are looking for:
Strong Coding and design skills
Good command over Data Structures & Algorithms
The ability to produce bug-free and production-grade code
Skills we consider: MYSQL, Python, Django, MongoDB, React.JS, Angular.JS, D3.Js, Node.js, Express.JS, InfluxDb, Redis, Kafka, Garafana, Elastic Search, Docker, AWS, Java, Spring Boot, C++ 
Key Deliverables:-
1. Develop a very high sense of ownership, the zeal to build scalable applications
2. Develop a deep understanding of the start-up ecosystem
Work with a performance-oriented team driven by ownership and open to experiments
3. Build a customer-facing technology product for global customers
Design and develop end to end applications with very high quality
What we have to offer:-
1. Work with a performance-oriented team driven by ownership and open to experiments
2. Learn to design systems for high accuracy, efficiency, and scalability
Focus on delivering quality work within deadlines.
3. Candid culture. No politics.
4. As a team, we value ownership, continuous learning, consistency, and discipline.
Read more
My client is a US based Product development company.

My client is a US based Product development company.

Agency job
Remote, Noida, NCR (Delhi | Gurgaon | Noida)
8 - 15 yrs
₹30L - ₹45L / yr
skill iconData Science
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconDeep Learning
Predictive modelling

Responsibilities: 

  • Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
  • Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
  • Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
  • Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
  • Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
  • Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
  • Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
  • Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
  • Drive analytics thought leadership and effectively contributes towards transformational initiatives.
  • Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
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leading pharmacy provider

leading pharmacy provider

Agency job
via Econolytics by Jyotsna Econolytics
Noida, NCR (Delhi | Gurgaon | Noida)
4 - 10 yrs
₹18L - ₹24L / yr
skill iconData Science
skill iconR Programming
skill iconPython
Algorithms
Predictive modelling
Job Description:

• Help build a Data Science team which will be engaged in researching, designing,
implementing, and deploying full-stack scalable data analytics vision and machine learning
solutions to challenge various business issues.
• Modelling complex algorithms, discovering insights and identifying business
opportunities through the use of algorithmic, statistical, visualization, and mining techniques
• Translates business requirements into quick prototypes and enable the
development of big data capabilities driving business outcomes
• Responsible for data governance and defining data collection and collation
guidelines.
• Must be able to advice, guide and train other junior data engineers in their job.

Must Have:

• 4+ experience in a leadership role as a Data Scientist
• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)
• Willing to work from scratch and build up a team of Data Scientists
• Open for taking up the challenges with end to end ownership
• Confident with excellent communication skills along with a good decision maker
Read more
leading pharmacy provider

leading pharmacy provider

Agency job
via Econolytics by Jyotsna Econolytics
Noida, NCR (Delhi | Gurgaon | Noida)
4 - 10 yrs
₹18L - ₹24L / yr
skill iconData Science
skill iconPython
skill iconR Programming
Algorithms
Predictive modelling
Job Description:

• Help build a Data Science team which will be engaged in researching, designing,
implementing, and deploying full-stack scalable data analytics vision and machine learning
solutions to challenge various business issues.
• Modelling complex algorithms, discovering insights and identifying business
opportunities through the use of algorithmic, statistical, visualization, and mining techniques
• Translates business requirements into quick prototypes and enable the
development of big data capabilities driving business outcomes
• Responsible for data governance and defining data collection and collation
guidelines.
• Must be able to advice, guide and train other junior data engineers in their job.

Must Have:

• 4+ experience in a leadership role as a Data Scientist
• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)
• Willing to work from scratch and build up a team of Data Scientists
• Open for taking up the challenges with end to end ownership
• Confident with excellent communication skills along with a good decision maker
Read more
Bengaluru (Bangalore)
4 - 10 yrs
₹9L - ₹15L / yr
skill iconR Programming
skill iconData Analytics
Predictive modelling
Supply Chain Management (SCM)
SQL
+4 more

The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.

At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.

Candidates will be expected to lead projects across several areas such as

  • Demand forecasting
  • Inventory management
  • Simulation & Mathematical optimization models.
  • Procurement analytics
  • Distribution/Logistics planning
  • Network planning and optimization

 

Qualification and Experience

  • 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
  • Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
  • Hands-on experience in delivery of projects using statistical modelling

Skills / Knowledge

  • Hands on experience in statistical modelling software such as R/ Python and SQL.
  • Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
  • Highly proficient with Excel, PowerPoint and Word applications.
  • APICS-CSCP or PMP certification will be added advantage
  • Strong knowledge of supply chain management
  • Working knowledge on the linear/nonlinear optimization
  • Ability to structure problems through a data driven decision-making process.
  • Excellent project management skills, including time and risk management and project structuring.
  • Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
  • Ability to liaison effectively with multiple stakeholders and functional disciplines.
  • Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
Read more
Fortunefootprints.com

at Fortunefootprints.com

5 recruiters
Rupanjali Sen Gupta
Posted by Rupanjali Sen Gupta
NCR (Delhi | Gurgaon | Noida)
3 - 5 yrs
₹12L - ₹20L / yr
Business Intelligence (BI)
skill iconData Science
Predictive modelling
As a Senior Consultant Analytics, you shall gather, analyze, identify and lead actionable data insights to solve real complex challenges. Your work will directly influence decisions taken to build the most successful web/mobile gaming platform with games played by millions across the world. Responsibilities Leverage complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement, and operations. Work with all teams in the company to understand, plan and drive data-based actionable decisions, championing the Data Science culture. Analyze consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics. Develop a reporting process for all KPIs. Recruit, develop and coach talent. Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas for improvement. Qualifications B.tech or Bachelor degree in Data science. An MBA or advanced degree in a quantitative discipline is preferred. 3+ years in Data Science and Analytics execution, with specific experience in all stages - gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing and business operations. Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, predictive analytics, forecasting, machine learning, decision trees etc. Past experience in at least one Statistical and analytic tools or language expertise R, Python, SAS etc.. Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention. Expertise in at least one visualization platforms such as Tableau, QlikView, Spotfire and Excel. Tableau skills preferred. Advanced SQL is mandatory skills. Ability to creatively solve business problems through innovative approaches. Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects. Highly analytical with the ability to collate, analyze and present data, and drive clear insights into decisions that improve KPIs. Ability to effectively communicate and manage relationships with senior management, company divisions and partners.
Read more
TVS Credit Services

at TVS Credit Services

2 recruiters
Vinodhkumar Panneerselvam
Posted by Vinodhkumar Panneerselvam
Chennai
4 - 10 yrs
₹10L - ₹20L / yr
skill iconData Science
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
Hadoop
+3 more
Job Description: Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept. Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Desired Candidate Profile: MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field Experience in using Python, R, SAS Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc. We are looking candidates from the following: Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics Experience in Differential pricing / selection analytics (retail, airlines / travel etc). Experience in Digital product companies or Digital eCommerce with Product mindset and experience Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional) Experience in Tractor Loans lending companies (Experience in Farm) Experience in Recovery, Collections analytics Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology
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