Senior Data Scientist I

Are you looking to develop your Data Scientist career?
 

Do you enjoy being part of a team that works with a diverse range of products /technology?
 

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 Senior Data Scientist I, you will become a subject matter expert in ML and NLP, helping with defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You'll analyze extensive datasets and guide junior team members. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to innovative solutions in data science.

Responsibilities:

• Building machine learning models, performing analytics, and creating AI features

• Developing and implementing advanced machine learning algorithms to solve complex business problems

• Collaborating with stakeholders to identify opportunities for leveraging company data to drive business solutions

• Providing technical expertise in statistical analysis, data mining, and data visualization

• Contributing to the continuous improvement of data science processes and methodologies

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

Requirements:

• Have a Master's or doctorate in Computer Science, Statistics, Mathematics, or related field

• Have excellent communication skills and the ability to convey information clearly to a wide audience

• Be a natural problem solver and able to take a lead in collaborating to resolve issues

• Have experience in leading complex projects and customer relationships

• Possess extensive experience in data science, machine learning, and statistical modeling, demonstrating a deep understanding and proficiency in these areas.

• 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:

• Health plan benefits

• Employee Assistance Program

• Retirement Benefits

• Various Leave Programs

• Educational Assistance

• Disability, Life and Accidental Death Insurance

• Paid Vacation

• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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 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. 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: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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U.S. National Base Pay Range: $70,200 - $117,100. Geographic differentials may apply in some locations to better reflect local market rates. Base Pay Range for CO is $70,200 - $117,100. Base Pay Range for IL is $73,700 - $122,900. Base Pay Range for Chicago, IL is $77,300 - $128,900. Base Pay Range for MD is $73,700 - $122,900. Base Pay Range for NY is $77,300 - $128,900. Base Pay Range for New York City is $80,800 - $134,700. Base Pay Range for Rochester, NY is $66,800 - $111,300. Base Pay Range for OH is $66,800 - $111,300. Application deadline is 01/01/2026. Base Pay Range for primary location in Ontario is $70,100-$116,800(CAD).This job is eligible for an annual incentive bonus. If performed in Home Based - Poland, the pay range is zł120,300 - zł200,400.

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.

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