{"id":2463459,"url":"https://alion.io/job/wolters-kluwer-data-scientist-2","title":"Data Scientist","company":{"id":2555,"name":"Wolters Kluwer","domain":"wolterskluwer.com","url":"https://alion.io/company/wolters-kluwer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":74,"ghost_share":0.014,"stale_share":0.703,"repost_share":0.054,"time_to_fill_p50_days":26,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-13T17:51:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T22:31:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nAs a Data Scientist II, you will contribute to the design, development, testing, and delivery of data science, Machine Learning, Generative AI, and Agentic AI solutions that address business needs and improve customer experiences. You will apply statistical analysis, predictive modeling, Large Language Models, Retrieval-Augmented Generation, and modern AI frameworks to build reliable analytical and intelligent capabilities.\nThis individual contributor role participates across the data science lifecycle, from data collection and preprocessing through model development, evaluation, integration, and production support. Working with a moderate level of guidance, you will solve complex technical problems, collaborate with senior data scientists and cross-functional partners, and expand your knowledge of enterprise AI technologies, business processes, and customer needs.\nKey Responsibilities\nDevelop data science and AI solutions: Prepare and analyze structured and unstructured data, engineer features, and contribute to predictive models, NLP and LLM solutions, RAG pipelines, intelligent assistants, and Agentic AI workflows. \nEvaluate and improve solution quality: Apply suitable metrics, test datasets, error analysis, experiment tracking, model validation, performance testing, and responsible AI checks to improve accuracy, relevance, reliability, latency, and cost. \nSupport deployment and engineering: Build reusable code, APIs, notebooks, pipelines, containers, model artifacts, monitoring components, and automated workflows with engineering and senior data science team members. \nCollaborate, communicate, and maintain standards: Translate requirements into assigned deliverables, communicate insights through visualizations, prototypes, reports, and documentation, and manage code, data, and experiments in line with security, privacy, governance, version control, responsible AI, and current ML and AI practices. \nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field. \n3+ years of relevant professional experience in Data Science, Machine Learning, Artificial Intelligence, analytics, or AI-focused software development. \nHands-on experience preparing data, conducting exploratory analysis, building features, developing models, and evaluating results for practical business problems. \nExperience contributing to at least one Machine Learning, NLP, Generative AI, LLM, RAG, or Agentic AI solution through development, testing, integration, or production support. \nWorking knowledge of model validation, experiment design, performance metrics, data quality, and reproducible development practices. \nAbility to complete a range of technical assignments and solve moderately complex problems within established policies, procedures, and architectural patterns. \nEffective written and verbal communication skills, including the ability to explain complex information clearly in straightforward situations. \nStrong collaboration, learning agility, attention to detail, and problem-solving skills. \nTechnical Skills\nProgramming and analytics: Proficiency in Python and SQL, with hands-on experience in Pandas, NumPy, Scikit-learn, Jupyter, data preparation, feature engineering, analysis, and visualization using Matplotlib, Seaborn, Tableau, or Power BI. \nMachine Learning, statistics, and NLP: Practical knowledge of supervised and unsupervised learning, model selection and evaluation, statistical analysis, experimentation, and foundational deep learning and NLP concepts using frameworks such as TensorFlow, PyTorch, Hugging Face, or SpaCy. \nGenerative AI and Agentic AI: Experience with prompt engineering, embeddings, vector search, RAG, LLM evaluation, document-based use cases, tool-enabled agents, and workflow orchestration using frameworks such as LangChain or LangGraph, with exposure to Azure OpenAI, Azure Machine Learning, MLflow, and model APIs. \nEngineering, cloud, and governance: Experience with reusable Python code, REST APIs, Git, unit testing, CI/CD, containers, databases, data pipelines, and cloud services, with awareness of monitoring, observability, security, privacy, cost, explainability, and responsible AI practices. \nSuccess Measures\nSuccess in this role is measured through:\nAccurate, timely, and well-documented data preparation, analysis, and reporting. \nReliable contributions to Machine Learning, Generative AI, and Agentic AI development, testing, integration, and production support. \nMeasurable improvement in model or application quality, including accuracy, relevance, reliability, latency, cost, or user experience. \nClear visualizations and actionable insights that support product and business decisions. \nReusable, maintainable code and effective automation of repeatable data and AI workflows. \nConsistent adherence to data quality, security, governance, responsible AI, documentation, and team development standards. \nEffective collaboration with senior data scientists, engineering teams, product partners, and business stakeholders. \nDemonstrated growth in technical capability, business understanding, and ownership of moderately complex assignments. \nOur Interview Practices\nTo maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.\nApplicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.","description_format":"text","description_chars":6056,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","Clinical Decision Support","Accounting & Tax Software","Legal Software"],"lifecycle":[{"event":"open","at":"2026-10-13T17:51:00Z"}],"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":26,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-14T01:55:38Z"},"pay":null,"html_url":"https://alion.io/job/wolters-kluwer-data-scientist-2","json_url":"https://alion.io/job/wolters-kluwer-data-scientist-2.json","meta":{"generated_at":"2026-10-14T01:55:38Z","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":2886,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":2555},"rest":"https://alion.io/mcp/rest/get_company?id=2555"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwolters-kluwer-data-scientist-2"},{"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%2Fwolters-kluwer-data-scientist-2"},{"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%2Fwolters-kluwer-data-scientist-2"},{"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/wolters-kluwer-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwolters-kluwer-data-scientist-2"}]}