Tiger Analytics

Manager

• Develop and deploy scalable recommendation algorithms (collaborative filtering, content-based, hybrid)
• Translate business objectives into data science problems and deliver solutions that drive measurable outcomes
• Work with petabyte-scale datasets to train, validate, and optimize ML models (ranking, retrieval, embeddings)
• Build end-to-end ML pipelines (training, validation, CI/CD, deployment, monitoring) using MLOps best practices
• Collaborate with product, engineering, and analytics teams to integrate models into production systems
• Optimize model inference for latency, scale, and cost-efficiency
• Define technical problem statements and hypotheses; communicate results and drive strategy

Manager/Senior Manager - Recommendation Systems

Data Scientist

• Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
• Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
• Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation.
• Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
• Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Senior Data Scientist – Optimization

Insurance

• Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data.
• We are seeking a seasoned Program Delivery Partner (DP) to lead analytics engagements within the customer service domain.
• Partner with business leaders to understand challenges, define project scope, and translate business needs into actionable requirements.
• Collaborate with Technical Leads (onshore) and Offshore Delivery Partners to delegate tasks, ensure quality standards, and guide analytical approaches.
• Oversee the full project lifecycle—from data discovery and analysis through implementation, deployment, and adoption of solutions.
• Establish governance and AI product management foundations, including ROI modeling, MVP scope, success criteria, pilot planning, stakeholder alignment, and sign-offs.
• Work closely with client and Tiger teams to scale pilots/MVPs into enterprise-wide programs.
• Identify and drive new opportunities for data and analytics to deliver business value, contributing to the broader strategic vision.
• Manage and mentor a cross-functional team of data scientists, engineers, and analysts, fostering a culture of data-driven decision-making.

Associate Director – Delivery Partner, Insurance

• Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies.
• We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector.
• Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
• Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
• Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation.
• Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
• Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

• Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment.
• Build, fine-tune, and evaluate recommendation algorithms for scalability and performance.
• Collaborate with engineering and product teams to integrate ML solutions into business applications.
• Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives.
• Provide technical guidance and mentorship to junior data scientists and engineers.
• Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills.
• Drive innovation by exploring and implementing new techniques in recommendation systems and AI.
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Principal Data Scientist, Recommendation Systems

Consultant

• Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
• If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
• We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.
• Responsibilities:
• Extract, transform, and analyse complex datasets using SQL and Python.
• Design and implement analytical models and methodologies to solve critical business problems.
• Collaborate with stakeholders to translate unstructured business needs into well-defined analytical requirements.
• Present analytical findings and actionable insights through compelling reports and presentations.
• Develop data-driven strategies tailored to the unique challenges of healthcare payer organizations.
• Maintain a strong understanding of industry trends, regulatory changes, and emerging technologies in healthcare analytics.
• Engage with cross-functional teams to align technical solutions with client goals.
• Partner with consulting teams to drive adoption of analytics across business processes and technology platforms.

Senior Analytics Consultant, Healthcare Payer

Program Manager

• Tiger Analytics seeking an experienced Technical Program Manager to join advanced analytics consulting firm supporting Fortune 500 clients.
• Acts as project manager monitoring program from initiation through delivery, planning and directing schedules.
• Gathers input from project team and develops plans for moderate to significant scope projects, possibly novel products or services.
• Uses established tools, approaches/methodologies, and templates to guide and document plans and communicate to team.
• May lead multiple limited-to-moderate scope projects or manage parts of larger programs with cross-functional teams.
• Oversees work of project team, indirectly supervising members from varied disciplines including application engineering.
• Assists with coordination of deliverables and project assets for project team.
• Strategic planning & tracking: develop comprehensive plan with vendor, create Publicis integration roadmap, RAID log, and tracker for One Demand Measurement Data Hub initiative.
• Project delivery & reporting: coordinate delivery and performance reporting for data automation & quality workstreams using agile principles; update CDO leadership on weekly program status, NA & steerco reporting.
• Change management: build comprehensive plan to support Publicis agency change to full suite of CDO portfolio (one demand area).

Program Manager, CPG/Retail

Technical Project Manager

• Tiger Analytics is an advanced analytics consulting firm and trusted analytics partner for several Fortune 100 companies.
• The company enables clients to generate business value from data using expertise in Data Science, Machine Learning and AI.
• Looking for someone with a blend of business consulting skills and a data analytics background to solve unstructured business problems using data.
• Manage the data analysis and design of analytics products across a focused area of the business value stream to enable data-driven business decisions.
• Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs.
• Act as project manager - monitor programs from initiation through delivery including planning and directing schedules.
• Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures.
• Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth.
• Perform extensive data profiling to understand data behaviour and business rules.
• Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences.
• Drive the adoption of and socialize data products with end users through user training.
• Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics.
• Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modelling, validation, and documentation.
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs.
• Identify business opportunities, establish goals, and communicate on the analytics pipeline.
• Establish analytics reporting that enables enhanced decision-making - Dashboard, MIS.
• Provide insights and improve program performance.

• Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.
• We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
• Apply machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services.
• Collaborate with cross-functional teams and business partners to define technical problem statements and hypotheses to test.
• Develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools.
• Drive current and future strategy by leveraging analytical skills and communicating the results.
• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
• Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
• Collaborate with data scientists to translate models into production-ready code.
• Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
• Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
• Expereince implementing scenario simulation algorithms.
• Work independently to break down complex problems into actionable development tasks.
• Ensure code quality, scalability, and maintainability in a production environment.
• Contribute to sprint planning, documentation, and cross-functional collaboration.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.

Lead Data Scientist – Price Elasticity Modelling

• Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
• As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
• Key Responsibilities
• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
• Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
• Collaborate with data scientists to translate models into production-ready code.
• Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
• Design and optimize mathematical programming and machine learning models for real-world applications.
• Work independently to break down complex problems into actionable development tasks.
• Ensure code quality, scalability, and maintainability in a production environment.
• Contribute to sprint planning, documentation, and cross-functional collaboration.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements

Senior Data Scientist, GenAI

Data Engineer

• Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally.
• We develop bespoke solutions powered by data and technology for several Fortune 100 companies.
• We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
• We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts.
• The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

Lead Data Engineer, Azure

Director

Work on the latest applications of data science to solve business problems.;Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.;Ability to understand the business context by discussing existing data models with senior client leaders and deriving valuable business insights.;Extract, transform and organize the data into datasets using tools like SQL.;Ability to break down a project into specific tasks involving business analysis, data science and engineering.;Direct teams of business analysts to create data-driven solutions.;Architect data analytics frameworks and solutions to solve data-driven business problems.;Utilize data science, Machine Learning, Artificial Intelligence, and Operational Research techniques to develop data models.;Experienced in building and maintaining predictive and/or prescriptive models in production at enterprise scale.;Experienced in developing and running simulation, optimization, and what-if scenario planning tools to support decision making.;Demonstrable ability to sift through data, identify critical information, analyze, develop a hypothesis and make recommendations to a broader audience required.;Consistent record of working cross-functionally to develop innovative solutions using advanced analytics.;Prior experience synthesizing and packaging complex analyses and delivering results to non-technical audiences, including senior leadership teams.;Excellent written and verbal communication skills, including the ability to develop and deliver a presentation.;Familiarity with agile development methodology.;Utilizing appropriate quality checks to ensure the results are sound.

Sr. Manager/Associate Director - Price Elasticity Modelling

Affiliate Manager

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

Technology Partner

• Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
• If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.
• You will directly work with key client stakeholders to define the business problems, analysis requirements, and determine solution requirements. You will be responsible for ensuring business value and communicating results, etc.
• RESPONSIBILITIES:
• Understand high-level business objectives and continually align work with those objectives to meet the needs of the business
• Should be able to talk with the business on scope changes/timelines effectively. Effectively and articulate requirements to the team.
• Excellent written and oral communication skills, with the ability to build strong relationships with internal stakeholders.
• Discuss key business objectives with stakeholders, understand how business users and customer data is collected, and suggest appropriate data collection methods.
• Work with business executives to understand business constraints that impact data science or machine learning models.
• Examine sample data and prepare a preliminary solution proposal document to present to clients.
• Extract, transform, and organize data into datasets.
• Lead data collection, validation, and analysis activities, including risk, spending, commodity, and supplier information.
• Participate in client workshops to identify high-impact problems that could be solved through AI-based solutions.
• Translate business problems (sometimes ambiguous) into clear analytic problem statements.
• Design a plan to develop and deploy advanced analytics solutions in collaboration with SMEs in Data Science and Engineering.
• Own and drive plan execution by demonstrating techno-functional consulting and stakeholder management capabilities.
• Measure and articulate how analytic results improve clients’ business and financial metrics.
• Perform a role that combines hands-on contribution, customer engagement and team management.

Manager/Senior Manager - Recommendation Systems

Senior Data Scientist – Optimization

Associate Director – Delivery Partner, Insurance

Senior Data Scientist – Optimization

Principal Data Scientist, Recommendation Systems

Senior Analytics Consultant, Healthcare Payer

Program Manager, CPG/Retail

Technical Project Manager

Lead Data Scientist – Price Elasticity Modelling

Senior Data Scientist, GenAI

Lead Data Engineer, Azure

Sr. Manager/Associate Director - Price Elasticity Modelling

Technology Partner

Sr Manager/Associate Director, Analytics Consulting