Data Scientist III

Are you looking to develop your Data Scientist experience?

Do you love collaborating with teams to solve complex problems and deliver solutions?

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

As a Data Scientist III, you will conduct statistical analysis and build predictive models for a variety of performance outcomes. The incumbent will have a firm understanding of data mining, statistical methods, and machine learning techniques.

Responsibilities

• Assembling, merging and parsing large amounts of data to detect meaningful trends and patterns.
• Developing and implementing machine learning models and algorithms to solve complex business problems.
• Interpreting, documenting and successfully communicating analytic work and/or results to stakeholders, including those in non-analytic roles.
• Analyzing and mining large amounts of data using multiple analytic stacks such as Python, Linux, SQL etc.
• Applying Machine Learning, Data Mining, and/or Statistical methods to build advanced models. Able to roll into production with senior guidance.
• Keeping the team’s priorities in mind when working independently.

Requirements

• Have at minimum undergraduate in relevant field and 4+ years of relevant work experience, or a master in a relevant field and 2+ years of relevant work experience.
• Have experience in relevant skills and software packages.
• Have fluency with presentation and document programs such as PowerPoint, Word, Excel.
• Have experience working with Big Data Technologies and applying large scale Machine Learning techniques within these technologies.
• Have experience in building predictive models using Python, R or similar software package.

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:

• Medical Aid.
• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover).
• Modern family benefits, including adoption and surrogacy.
• 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. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

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. 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: here, or please contact 1-855-833-5120.

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