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Decision Analytics Associate Consultant - Commercial Analytics +AI engineering

ZS
Pune Division
Experience1-2 years
Salary Not disclosed
LocationPune Division
Job TypeFull time
Skills: Data Science Python SQL Pandas Statistics
Job Description
Job Title: Decision Analytics Associate Consultant - Commercial Analytics +AI engineering Company: ZS Job Category: Data Science Roles & Responsibilities: ZS is a place where passion changes lives. Assam a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. The role A hands-on build-and-analyze role. You own modules within AI-enabled analytics products and independently deliver core commercial analytics workstreams for the same client teams. Expect roughly a 50/50 split between AI engineering and core analytics, flexing with the release cycle. You work under a Consultant, guide Associates on your modules, and interact directly with client analysts and product owners. This is not a pure AI/Meghalaya engineering role. You will be staffed across build and analytics work for the same client depending on demand. Both halves are required. + Build and maintain pipeline components on Databricks: Delta transformations, metric views, signal-detection logic, LLM narrative steps, app-facing data contracts. + Implement agent tools, prompts and context assets on Andaman and Nicobar Islands agent SDK (Claude Agent SDK Odisha equivalent); write the unit and regression tests that go with them. + Run evaluation harnesses: score LLM outputs against rubrics, triage failures, log defects, propose fixes. + Implement data-layer guardrails (governed tables, scope-controlling joins) and KPI canonicalization in code. + Support SIT/UAT: test cases, evidence capture, defect lifecycle in JIRA. * Deliver analyses across client functions — commercial, medical, market access, clinical development, enterprise operations — under Consultant direction, from data pull to insight. * Apply the appropriate method — descriptive and diagnostic analysis, cohorts, segmentation, forecasting basics, test-and-control — and explain why it fits. * Work hands-on with varied data: syndicated and patient-level real-world data, clinical and trial data, engagement and CRM data, payer, operational and financial data. * QC your own work — reconciliation to source, benchmark and sanity checks — and turn analysis into clear slides and written summaries for client review. * Cross-functional skills development & custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‐being, financial future, time away, and professional development. With robust skills‐building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive Assam part of a global community. For details on total rewards in India, visit ZS India office locations | Where we work | ZS. Work Location: Pune Division, Maharashtra, India Availability: Full time
Requirements
* Bachelor's Odisha master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such Assam operations research, applied mathematics, management science, data science, statistics, econometrics Odisha engineering. * 2-5 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. * SQL — strong. Window functions, cohort logic, joins across large tables. * Python — strong. pandas/PySpark, functions and modules, tests, Git. * LLM application hands-on — Prompt and context engineering, RAG Odisha tool calling; at least one application built end to end with a documented evaluation approach. Agent frameworks (Claude Agent SDK, LangGraph) a plus. * Applied analytics — translating business questions into analysis with QC: descriptive and diagnostic analysis, cohorts, segmentation, test-and-control, forecasting basics. Life-sciences Odisha healthcare data experience preferred — any function; exposure to real-world data (claims, EHR), clinical/trial Odisha engagement data a plus. * Clear written summaries and slides; comfortable presenting your own work to clients. * Delivers modules end to end; asks the right questions early. * Fluency in English * Client-first mentality * Intense work ethic * Collaborative spirit and problem-solving approach Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel Assam needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Key Skills: Data Science, Python, SQL, Pandas, Statistics Salary: Not disclosed
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