Job Description
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 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.
About the Role
We are seeking a skilled Manager Data Scientist to join our team and drive data-driven strategies , 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:
- Lead and mentor a team of data scientists and analysts to develop predictive models and algorithms.
- Design and implement advanced data analysis, and produce actionable insights to improve business operations and strategies.
- Collaborate with cross-functional teams to understand business problems and develop solutions to address them.
- Develop scalable and efficient data-driven solutions and products.
- Communicate analytical findings and insights to stakeholders in a clear and actionable manner.
- Stay updated with state-of-the-art data science techniques and methodologies, and integrate them into the team's work.
- Oversee the creation and maintenance of statistical models and data architectures.
Requirements
- Have Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
- Have proven experience (3+ years) working in data science, machine learning, or AI. With a track record of delivering impactful projects.
- Have proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Have experience with generative AI models and techniques (e.g., LLMs, GANs) for content generation.
- Have expertise in prompt engineering for fine-tuning language models like GPT-3.5 or similar models.
- Have knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
- Have exceptional problem-solving skills and the ability to work independently and as part of a team.
- Have 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.
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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.
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EEO Know Your Rights.
Skills Required
- Master's or Ph.D. in Data Science, Computer Science, Statistics, or related field
- Proven experience (3+ years) in data science, machine learning, or AI with delivered projects
- Proficiency in Python
- Experience with data science libraries and frameworks (scikit-learn, TensorFlow, PyTorch)
- Experience with generative AI models and techniques (LLMs, GANs)
- Expertise in prompt engineering and fine-tuning language models (e.g., GPT-3.5)
- Knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques
- Strong 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.
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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.
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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.
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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.
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