Sr. Data Scientist

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Information Technology • Legal Tech • Analytics
The Role
Designs, develops, and deploys machine learning and generative AI solutions, including RAG pipelines, LLM fine-tuning, prompt strategies, evaluation frameworks, and scalable ML pipelines. The role uses Python, cloud infrastructure, vector databases, and MLOps practices to deliver production AI features. Responsibilities include monitoring model performance, conducting experimentation and benchmarking, collaborating with technical and subject matter experts, and contributing to AI system architecture.
Summary Generated by Built In

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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • 6-8 years of experience
  • Advanced proficiency in Python
  • Experience with supervised and unsupervised machine learning and NLP
  • Experience with generative AI, LLMs, prompt engineering, and embeddings
  • Experience with RAG architecture and vector search
  • Experience with 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
  • Experience with AWS, Azure, or GCP
  • Experience with CI/CD for ML deployments
  • Experience with model tracking tools; MLflow preferred
  • Experience in legal, regulatory, or publishing domains
  • Experience with model monitoring and MLOps
  • Knowledge of LoRA, PEFT, or QLoRA fine-tuning techniques
  • Experience with multi-agent frameworks such as AutoGen or LangGraph

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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