Job description

Job Description Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is apart of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role As a Senior Data Scientist, you will become a subject matter expert, 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 will lead AI and machine learning model development. You ll analyze extensive datasets and guide junior team members. 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. Leading small- to medium-sized teams (direct or indirect). Requirements Masters plus 7-10 years of work-related experience OR PhD with 6 years of work-related experience. 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 organization. We offer an appealing working prospect for our people. With numerous well-being 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: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts 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. #AIFLuency U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. 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. USA Job Seekers: EEO Know Your Rights .

Requirements

Must-haves

Do you want to help us build further data science capabilities?
And are you eager to work on the quality of data sources serving our end-user products?
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.
Leading small- to medium-sized teams (direct or indirect).
Masters plus 7-10 years of work-related experience OR PhD with 6 years of work-related experience.
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
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:
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawspython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness