Senior Data Scientist I

Senior Data Scientist

Do you have extensive experience in data science and a proactive attitude that drives excellence?

Do you enjoy being part of a team that works with a diverse range of technologies?

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.

About the Role

As a Senior Data Scientist, you will be responsible for defining the scope of a project with the support of managers and executing that project independently. You will also support the development and training of junior staff when needed. You will be self-sufficient in executing basic methods and work within your teams to execute increasingly sophisticated approaches to deliver outcomes.

Responsibilities

1. Ensuring consistent application of best practices in data science to enhance model quality, reproducibility, and scalability within the team.
2. Providing technical guidance and mentorship to junior team members, fostering skill development and analytical growth.
3. Designing, developing, and deploying machine learning models and analytics solutions that address key business needs and improve decision-making.
4. Developing machine learning models, conducting in-depth data analysis, and building AI-driven features that create value for products and users.
5. Communicating data insights, model performance, and recommendations to stakeholders through clear, impactful presentations.
6. Participating in customer interactions to understand requirements, present data science solutions, and showcase analytical capabilities.
7. Working with cross-functional teams to implement data governance and strategy that ensures data integrity and supports analytics goals.

Requirements

1. Have an undergraduate degree in a relevant field (preferably Master’s or PhD).
2. Must have at least 2+ years of relevant work experience in a data science role.
3. Must have a solid background in Python, Scala, or Java.
4. Have formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms.
5. Have practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT, large language models, and prompt engineering.
6. Have extensive knowledge of relational and NoSQL databases (e.g., Postgres, Elasticsearch/OpenSearch, AWS Neptune).
7. Have an understanding of data modeling principles and complex data models.
8. Have proven knowledge of AWS, GCP, Azure, or other cloud platforms.

Work in a way that works for you

We promote a healthy work/life balance across the organization. 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 well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

1. Medical Aid
2. Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
3. Modern family benefits, including adoption and surrogacy
4. Study 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.

LexisNexis, a division of RELX, is 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.