{"id":1571631,"url":"https://alion.io/job/pravi-hr-advisory-data-scientist","title":"Data Scientist","company":{"id":3800706,"name":"Pravi HR Advisory","domain":"pravihr.com","url":"https://alion.io/company/pravi-hr-advisory","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CatBoost","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"LightGBM","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"GitHub","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-01T06:48:52Z","employer_posted_date":null,"last_verified_at":"2026-10-01T06:48:52Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Role : Data Scientist - Core ML & Deep Learning\n\nBuild AI that moves from notebook to production - and transforms insurance outcomes for better customer experience.\n\nWhat you'll own : \n\n- Shape the problem : Work with business and product teams to define the decision, target, prediction grain, outcome window, leakage controls and cost of errors.\n\n- Create signal from data : Use Python, SQL/PySpark to explore large datasets, engineer useful features and identify missingness, imbalance, drift and segment-level behaviour.\n\n- Build models that earn trust : Develop strong baselines and fit-for-purpose ML/DL solutions across tabular data, NLP, documents or images when they improve the outcome.\n\n- Prove what works : Use time/cohort-aware validation, relevant metrics, threshold optimisation, error slicing, robustness checks and explainability such as SHAP.\n\n- Ship, don't shelf : Package models for batch or API inference; integrate testing, Git, Docker, model registries and CI/CD with engineering partners.\n\n- Keep improving : Monitor model and business performance, drift, latency and failures; define retraining, rollback and human-review paths.\n\nWhat you'll bring : \n\n- Hands-on experience : 1 - 5 years in data science, ML or applied AI, including at least one model moved beyond a proof of concept.\n\n- Strong foundations : Python, SQL, pandas, NumPy, scikit-learn, statistics, feature engineering, imbalanced learning and model evaluation.\n\n- Modern model toolkit : XGBoost, LightGBM or CatBoost, plus PyTorch or TensorFlow for relevant deep-learning, NLP or computer-vision use cases.\n\n- Production mindset : Comfort with APIs or batch services, testing, Git, Docker and cloud/MLOps fundamentals; AWS/SageMaker, MLflow or Spark is a plus.\n\n- Clear thinking : You can explain assumptions, trade-offs and limitations simply, and collaborate well with domain experts, product managers and engineers.\n\nWhat will make you stand out : \n\n- End-to-end proof : A model you personally moved from problem framing and validation into a real pilot or production workflow.\n\n- Experimental rigour : A clear explanation of baselines, leakage prevention, metric choice, threshold trade-offs and segment-level error analysis.\n\n- Ownership under ambiguity : Examples of turning an unclear business ask into a measurable ML problem and influencing stakeholders with evidence.\n\nWhy this opportunity stands out : \n\n- Real-world scale : Work on decisions that can improve the experience of millions of policyholders - not toy datasets or isolated experiments.\n\n- End-to-end ownership : Stay close to the journey from discovery and modelling through deployment, adoption and measurable business impact.\n\n- A builder's environment : Experiment fast, learn from strong peers and help shape the engineering standards of Star Health's growing Enterprise AI team.\n\n- Career acceleration : Build domain depth, production judgement and stakeholder influence while creating a portfolio of work with visible enterprise impact.\n\nWhat your first six months can look like : \n\n- Learn the landscape : Understand the decision journey, data, users and success metrics; reproduce the baseline and agree the production quality gates.\n\n- Ship a meaningful release : Move a priority model into a controlled pilot or production path with explainability, monitoring and documented operating controls.\n\n- Show measurable value : Improve a business or customer outcome and turn what worked into reusable features, pipelines or modelling standards for the next use case.\n\nYour impact at Star Health : \n\nBuild for differentiation : underwriting risk and straight-through processing; Fraud Wastage & Abuse models for claims triage, severity and fraud; renewal/lapse propensity; document intelligence; service and demand forecasting.\n\nSuccess looks like : a model is accurate, explainable, production-ready, monitored and actively used to make a better business or customer decision.\n\nREADY TO BUILD? \n\nBring your curiosity, your GitHub or portfolio if you have one, and a story about something you shipped. You do not need to tick every box - show us how you learn and solve.\n\nSkills\nPython, SQL, Machine Learning, PyTorch, Tensorflow, Data Science, Data Scientist, Deep Learning","description_format":"text","description_chars":4241,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T08:00:00Z"}],"visa":[],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":1,"p_active":0.793,"p_room":0.75,"age_days":11,"expected_fill_days":16,"reasons":["seen:11","velocity","win:late","comp:junior"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pravi-hr-advisory-data-scientist","json_url":"https://alion.io/job/pravi-hr-advisory-data-scientist.json","meta":{"generated_at":"2026-10-13T23:24:28Z","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":35627,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":3800706},"rest":"https://alion.io/mcp/rest/get_company?id=3800706"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpravi-hr-advisory-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fpravi-hr-advisory-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fpravi-hr-advisory-data-scientist"},{"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/pravi-hr-advisory-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpravi-hr-advisory-data-scientist"}]}