MUMBAI · FULLTIME
Senior Data Scientist
Kroll
Mumbai · onsite · Posted 13d ago
Sourced from
Undisclosed5–10 yrsfulltimeMumbai
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Section · 01
About this role
Job Summary
Responsibilities
Location - Bengaluru,Hyderabad,Mumbai,New Delhi
Kroll is hiring a Senior Data Scientist to join its Enterprise Data Group. This role is designed for an experienced practitioner who can lead end-to-end ML initiatives, mentor junior team members, and partner with business and engineering stakeholders to translate complex problems into production-grade data science solutions.
Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will work alongside an advanced data science and engineering team - and collaborate with professionals from the world's largest financial institutions, law enforcement agencies, and government bodies.
At Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparencychallenges. Apply now to join One team, One Kroll.
- Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications
- Build and fine-tune models - from gradient-boosted trees and classical statistical models to transformer-based architectures and retrieval-augmented generation (RAG) systems
- Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications
- Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow
- Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, AKS), including CI/CD, model versioning, and drift detection
- Validate model inputs, outputs, and business impact; establish robust testing and monitoring practices
- Partner with engineering, product, and business stakeholders to scope problems and translate ML capabilities into measurable outcomes
- Communicate technical concepts, tradeoffs, and results to non-technical audiences, including senior leadership and clients
- Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI
- Advanced degree (MS or PhD) in computer science, statistics, mathematics, analytics, or a related quantitative field
- 5+ years of applied machine learning experience, including delivering models to production
- Strong Python skills and experience with the modern ML stack (scikit-learn, PyTorch or TensorFlow, pandas, Hugging Face Transformers)
- Hands-on experience with Databricks (notebooks, jobs, MLflow, Unity Catalog) and Spark/PySpark
- Production experience on Azure - ideally including Azure AI Foundry, Azure OpenAI Service, and Azure Data Lake
- Breadth across ML domains: traditional/statistical ML, deep learning, NLP, and LLM/GenAI applications, including hands-on experience with prompt engineering, RAG, embeddings, and agentic workflows
- Practical experience building LLM/GenAI applications - prompt engineering, RAG, fine-tuning, embeddings, vector databases, and evaluation
- Solid grounding in the full ML lifecycle: data validation, feature engineering, model design, experimentation, deployment, and monitoring
- Experience with structured and unstructured data, including text, documents, and semi-structured sources
- Strong statistical foundation and ability to reason about uncertainty, bias, and model risk
- Excellent technical and business communication skills
- Experience in financial services, risk, compliance, or regulatory domains
- Familiarity with MLOps tooling (MLflow, Docker, Kubernetes, Azure DevOps or GitHub Actions)
- Hands-on experience with agentic AI frameworks (LangChain, LlamaIndex, Semantic Kernel), LLM evaluation tooling, and production deployment of GenAI applications
- Knowledge of responsible AI practices, including fairness, explainability, and data privacy
Location - Bengaluru,Hyderabad,Mumbai,New Delhi
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Section · 02
Skills
AutomationAzure DevopsAzure Aicode qualitydata privacyai frameworksAksAzure OpenAIAnalyticsCommunication SkillsAzure Data LakeData GovernancecomplianceMicrosoft AzureBusiness IntelligenceAzure FunctionsData ScienceArtificial Intelligence
Section · Company
About Kroll
Kroll
Financial Services
1.0k+
employees
1932
94 years old
New York, New York
US
About
Kroll provides proprietary data, technology and insights to help its clients stay ahead of complex demands related to risk, governance and growth.
Industries
Financial ServicesAdvertising / PR / Events
Employee ratings
236 reviews
3.4/ 5
Culture
3.6
Career growth
2.7
Work-life
3.7
Employees rate it well for
Work Life Balance33Work Culture24Salary19Senior Management18Learning12
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