{"id":4067120,"url":"https://alion.io/job/nagarro-principal-engineer-data-science-3","title":"Principal Engineer, Data Science","company":{"id":2457,"name":"Nagarro","domain":"nagarro.com","url":"https://alion.io/company/nagarro","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":83,"open_postings":31,"ghost_share":0,"stale_share":0.677,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":11,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SHAP","optional":false},{"name":"Vertex AI","optional":false},{"name":"XGBoost","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-11T11:51:56Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T11:52:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We're Nagarro, we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!\n REQUIREMENTS:\nTotal experience 11+ years.\nMinimum 9+ years in data science, ML engineering, with at least 5 years leading ML solutions from design to production.\nShould have experience in software engineering, with strong depth in Python.\nPredictive modelling: regression-based estimation with explainable drivers, prediction intervals and live \"what-if\" re-scoring.\nSimilarity and retrieval: hybrid vector and structured-attribute search.\nHierarchical analytics: scoring, sizing and ranking opportunities across multi-level hierarchies.\nShould have exposure to a conversational AI assistant with tool calling, grounded and cited answers, and guardrails.\nMust have production experience with regression and tabular ML: feature engineering, model selection, calibration, uncertainty (conformal or quantile intervals) and explainability (SHAP, coefficients).\nShould have hands-on experience with embeddings, vector search and hybrid retrieval, and with LLM applications: tool calling, retrieval-grounded generation, citations, guardrails and evaluation.\nShould have hands-on experience for building conversational agent, with multi-turn session memory and tool calling into the multiple engines and the semantic layer.\nShould have experience on a major cloud: pipelines, model registry, drift monitoring, retraining and low-latency serving. Experience of Integrating with BigQuery, the semantic layer (LookML) and the existing React and backend-for-frontend application.\nMust have hands-on experience with tree-based models (XGBoost or LightGBM) and regression, model evaluation, and explainability (SHAP).\nShould have practical LLM experience: prompting, tool calling, retrieval-augmented generation, embeddings and vector search.\nShould have experience with ML pipelines and model deployment on a major cloud, and with Git, testing and code review.\nShould have strong statistics and metrics knowledge, including error metrics.\nMust have google cloud experience (Vertex AI, BigQuery, Gemini, Vector Search), or an equivalent cloud (AWS/Azure).\nShould have experience with agent frameworks, prompt-injection testing and LLM evaluation methods.\nShould have experience with semantic layers such as Looker, and with enterprise AI governance.\nShould have exposure to cost, pricing or supply-chain analytics.\nMust have ability to translate ambiguous business problems into durable technical architectures.\nShould have excellent communication skills, with the ability to influence senior stakeholders and technical leadership.\nRESPONSIBILITIES:\nUnderstanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.\nSet modelling standards: how models are compared and chosen, validation and holdout rules, explainability, uncertainty and acceptance criteria.\nLead feature engineering and model selection, and hands-on build of the hardest models and retrieval pipelines.\nDesign the GenAI agent: tool calling, retrieval-grounded generation, session memory, guardrails, human approval for actions and layered prompt-injection protection.\nDefine evaluation: golden test sets, groundedness, tool-routing accuracy and release gates, and run regular quality reviews.\nDefine serving and MLOps practice with the architect and DevOps: model registry, pipelines, drift monitoring, retraining and rollback.\nApply Responsible AI practice: bias checks, auditability, conversation logging and retention, and clear explanations for business users.\nEstimate work, track risks and dependencies, and report status to the delivery lead. Present technical results to business and technical audiences\nPartner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.\nReview critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.\nLead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.\nEnsure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.\n Mapping decisions with requirements and be able to translate the same to developers.\nIdentifying different solutions and being able to narrow down the best option that meets the client’s requirements.\nDefining guidelines and benchmarks for NFR considerations during project implementation\nWriting and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers\nReviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.\nDeveloping and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it\nUnderstanding and relating technology integration scenarios and applying these learnings in projects\nResolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.\nCarrying out POCs to make sure that suggested design/technologies meet the requirements.\nBachelor’s or master’s degree in computer science, Information Technology, or a related field.","description_format":"text","description_chars":5837,"description_truncated":false,"requirements":{"experience_years_min":11,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-11-11T11:52:26Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-11T13:44:58Z"},"pay":null,"html_url":"https://alion.io/job/nagarro-principal-engineer-data-science-3","json_url":"https://alion.io/job/nagarro-principal-engineer-data-science-3.json","meta":{"generated_at":"2026-11-11T13:44:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":25155,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2457},"rest":"https://alion.io/mcp/rest/get_company?id=2457"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnagarro-principal-engineer-data-science-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnagarro-principal-engineer-data-science-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnagarro-principal-engineer-data-science-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nagarro-principal-engineer-data-science-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnagarro-principal-engineer-data-science-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4067120}},{"tool":"search_jobs","arguments":{"company":"nagarro.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4067120},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}