Principal Data Scientist

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Principal Data Scientist
role at
LexisNexis Risk Solutions
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Join to apply for the
Principal Data Scientist
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LexisNexis Risk Solutions
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About the Business:
LexisNexis Risk Solutions is the essential partner for risk assessment.
Within our Insurance business, we provide customers with solutions and decision tools that combine public, proprietary and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency.
Our solutions help drive better data-driven decisions across the insurance lifecycle, all while reducing risk and optimising processes.
You can learn more about LexisNexis Risk at the link the team: Join a collaborative team of data science and insurance experts supporting innovation across the UKI, EU, and international markets.
Our work helps customers make informed decisions in pricing, underwriting, and fraud detection.
About the role:
As a Principal Data Scientist, you will serve as a senior technical leader, flexing across high-impact projects and driving innovation in analytics, infrastructure, and product development.
You will play a strategic role in shaping our cloud migration, building scalable ML workflows, and collaborating across disciplines to deliver data-driven solutions that support our business goals.
You will bring a blend of data science expertise, predictive modelling, and cloud infrastructure knowledge, and hopefully have a decent grasp of insurance practices, especially in pricing, underwriting and fraud.
Exceptional communication and collaboration skills are essential.
Responsibilities
Lead and contribute to high-impact projects across analytics, infrastructure, and product development.
Explore and adapt AI solutions to enhance business outcomes.
Build and deploy scalable machine learning workflows and data products.
Collaborate with cross-functional teams to support cloud migration and infrastructure design.
Work with structured and unstructured data, including telematics, to generate insights and improve products.
Develop predictive models and support benchmarking initiatives.
Communicate findings clearly to technical and non-technical audiences.
Mentor colleagues and promote a culture of learning and inclusion.
Requirements
Experience in data science, analytics, or a related field (academic or professional).
Proficiency in Python or R, SQL, and data processing tools.
Familiarity with cloud platforms (especially Azure), distributed computing (e.g. Spark), and MLOps practices.
Ability to design and maintain data pipelines and work with diverse data formats.
Strong communication and collaboration skills.
A commitment to inclusive, ethical, and explainable AI practices.
Preferred Experience
Experience with insurance data or modelling.
Knowledge of telematics or connected vehicle data.
Familiarity with tools like Databricks, Power BI, or R Shiny.
Benefits
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:
Generous holiday allowance with the option to buy additional days
Health screening, eye care vouchers and private medical benefits
Wellbeing programs
Life assurance
Access to a competitive contributory pension scheme
Save As You Earn share option scheme
Travel Season ticket loan
Electric Vehicle Scheme
Optional Dental Insurance
Maternity, paternity and shared parental leave
Employee Assistance Programme
Access to emergency care for both the elderly and children
RECARES days, giving you time to support the charities and causes that matter to you
Access to employee resource groups with dedicated time to volunteer
Access to extensive learning and development resources
Access to employee discounts scheme via Perks at Work
Learn more about the LexisNexis Risk team and how we work here
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
Industries
Data Infrastructure and Analytics
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