Would you like to be part of a team that delivers high-quality software to our customers?
Do you enjoy ensuring the quality of software products delivered?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the Role
The Data Scientist role conduct experiments on large datasets to evaluate the feasibility, results, and performance of NLP& LLM (Large Language Model). This DS make sound engineering decisions and improve software development practices with an eye for performance and reliability.
Responsibilities:
Data Analysis and Modeling: Perform advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
Data Collection and Preparation: Collect, clean, and preprocess large datasets, ensuring data quality and reliability.
Machine Learning and AI: Develop and implement machine learning algorithms and AI solutions to solve complex business problems.
Data Visualization: Create informative and compelling data visualizations to communicate results and insights to stakeholders effectively.
Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges.
Research and Innovation: Stay up-to-date with the latest trends and techniques in data science and contribute to the development of innovative solutions.
Model Deployment: Assist in the deployment of machine learning models into production environments.
Documentation: Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility.
Requirements:
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Proven experience (4-6 years) working in data science, machine learning, or AI, with a track record of delivering impactful projects.
- Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with generative AI models and techniques (e.g., LLMs, GANs) for content generation.
- Expertise in prompt engineering for fine-tuning language models like GPT-4 or similar models.
- Familiar with RAG and related tunning & evaluation approaches
- Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
- Exceptional problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
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:
- Medical and Life Insurance: Coverage for Medical and life risk.
- Long-Service Award: Recognition for loyalty and dedication.
- Marriage and New Baby Gifts: Celebratory tokens for special life events.
- Festivals and Birthday Gifts: Spreading joy on occasions that matter.
- Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.
- Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.
- Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday
- Family Care leave (Maternity/Paternity Leave and Adoption Leave)
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
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.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
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
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Proven experience (4-6 years) working in data science, machine learning, or AI with delivered projects.
- Proficiency in Python and data science libraries (scikit-learn, TensorFlow, PyTorch).
- Experience with generative AI models and techniques (LLMs, GANs) for content generation.
- Expertise in prompt engineering and fine-tuning language models like GPT-4 or similar.
- Familiarity with RAG (retrieval-augmented generation) and related tuning and evaluation approaches.
- Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
- Exceptional problem-solving skills and ability to work independently and in a team.
- Excellent communication skills for conveying technical concepts to non-technical stakeholders.
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.
RELX Insights
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.
.jpg)
