Level

RELX

Sr. Data Scientist

AI in this role

openailangchainllamaindexlanggraphautogenhugging-facepineconeweaviatepytorchtensorflowscikit-learnxgboost+1
prompt-engineeringragfine-tuningml-opsai-evaluationnlp

About The Role:

The Sr. Data Scientist to work on complex project involving AI, GenAI, RAG and Agentic Solution for the business delivery projects


Responsibilities

  • 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

Experience: 6–8 Years

Core Stack

  • Python (advanced proficiency)

  • Machine Learning (supervised/unsupervised learning, NLP)

  • Generative AI (LLMs, prompt engineering, embeddings)

  • RAG architecture and vector search

  • Model evaluation and validation frameworks

ML & AI Tools

  • LangChain / LlamaIndex (or similar frameworks)

  • Scikit-learn / XGBoost / LightGBM

  • PyTorch / TensorFlow

  • HuggingFace / OpenAI / LLM APIs

  • Vector databases (Pinecone, FAISS, Weaviate, OpenSearch, etc.)

Data & Infrastructure

  • SQL and data querying

  • Experience with AWS / Azure / GCP

  • CI/CD for ML deployments

  • Model tracking tools (MLflow preferred)

Good to Have

  • Experience in legal, regulatory, or publishing domains

  • Experience with model monitoring and MLOps

  • Knowledge of fine-tuning techniques (LoRA, PEFT, QLoRA)

  • Experience with multi-agent frameworks (AutoGen, LangGraph, etc.){Empty}

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • 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: Take time off with 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)









We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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How we rate this

Sr. Data Scientist at RELX rates 98 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGFine TuningML OpsAI EvaluationNLPOpenAILangChain

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  4. How do you monitor a model once it's live, and how do you know it needs retraining?
  5. How do you decide that one model's output is better than another's for a given task?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, Fine Tuning, ML Ops, and AI Evaluation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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