Senior Data Scientist

RELX

. Design, develop, and deploy machine learning and GenAI solutions in production environments.

Posted 9/18/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in Python and extensive experience in designing and deploying machine learning and Generative AI solutions. Capable of optimizing Retrieval-Augmented Generation pipelines and implementing scalable ML architectures while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Advanced Proficiency In PythonMachine Learning KnowledgeGenerative AI KnowledgeExperience With LangChainModel Evaluation And Validation Frameworks

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingRetrieval-Augmented GenerationModel EvaluationPrompt EngineeringData QueryingA/B TestingPerformance BenchmarkingModel MonitoringMLOps

Tools & Technologies

Scikit-learnXGBoostLightGBMPyTorchTensorFlowHuggingFaceOpenAIPineconeFAISSAWS

Industry Keywords

Legal Domain ExperienceRegulatory Domain ExperiencePublishing Domain ExperienceVector SearchCI/CD For ML Deployments

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy machine learning and GenAI solutions in production environments.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
Fine-tune and evaluate Large Language Models (LLMs).
Develop prompt engineering strategies and evaluation frameworks.
Implement scalable ML pipelines using Python.
Work with structured and unstructured data sources.
Collaborate with Engineering, Product, and SMEs to deliver AI-driven features.
Monitor model performance, drift, and reliability in production.
Conduct experimentation, A/B testing, and performance benchmarking.
Contribute to architecture design for AI-powered systems.

Requirements

What you’ll need

6–8 years of experience.
Advanced proficiency in Python.
Machine learning knowledge, including supervised learning, unsupervised learning, and NLP.
Generative AI knowledge, including LLMs, prompt engineering, and embeddings.
RAG architecture and vector search.
Model evaluation and validation frameworks.
Experience with LangChain, LlamaIndex, or similar frameworks.
Experience with Scikit-learn, XGBoost, or LightGBM.
Experience with PyTorch or TensorFlow.
Experience with HuggingFace, OpenAI, or LLM APIs.
Experience with vector databases such as Pinecone, FAISS, Weaviate, or OpenSearch.
SQL and data querying.
Experience with AWS, Azure, or GCP.
CI/CD for ML deployments.
Model tracking tools; MLflow preferred.
Good to have: legal, regulatory, or publishing domain experience.
Good to have: model monitoring and MLOps experience.
Good to have: knowledge of LoRA, PEFT, or QLoRA fine-tuning techniques.
Good to have: experience with multi-agent frameworks such as AutoGen or LangGraph.

Benefits

Comp & perks

Comprehensive Health Insurance: Covers you, your immediate family, and parents.
Enhanced Health Insurance Options: Competitive rates negotiated by the company.
Group Life Insurance: Ensuring financial security for your loved ones.
Group Accident Insurance: Extra protection for accidental death and permanent disablement.
Flexible Working Arrangement: Achieve a harmonious work-life balance.
Employee Assistance Program: Access support for personal and work-related challenges.
Medical Screening: Your well-being is a top priority.
Modern Family Benefits: Maternity, paternity, and adoption support.
Long-Service Awards: Recognizing dedication and commitment.
New Baby Gift: Celebrating the joy of parenthood.
Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
Various Paid Time Off: Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
Free Transport pick up and drop from the home -office - home (applies in Chennai)