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

Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.

Leading the development of advanced AI and machine learning models to solve complex business problems.

Analyzing large datasets to identify patterns and trends that can inform AI development.

Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.

Evaluating and creating new frameworks and defining methodologies and governance.

Mentoring junior data scientists and provide guidance on AI and machine learning best practices.

Working with product leaders to apply data science solutions.

Requirements

Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.

Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.

Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.

Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.

Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.

Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.

Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

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.

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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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