Senior Data Scientist I

About the role

We are looking for a Senior Data Scientist to lead complex attribute development projects within LexisNexis Risk Solutions' Insurance vertical. You will work closely with modelling, technology, product, and internal customers to turn raw data into model‑ready insights that drive risk‑based decisions.

Key responsibilities

• Lead attribute development design meetings and collaborate with cross‑functional teams.
• Develop, maintain, and validate attributes using KEL and multiple data sources.
• Test attributes for quality, completeness, and consistency using Python, ECL, and other tools.
• Convert analytic code (Python, ECL, R) into KEL implementations.
• Investigate, resolve, and document data or code issues.
• Mentor junior team members and ensure accurate documentation of attribute sets.

Required profile

• Proven ability to lead end‑to‑end data science projects independently.
• Experience mentoring junior analysts or data scientists.
• Strong problem‑solving skills with a focus on data quality and code reliability.

Required skills

• Python
• ECL
• R
• KEL (LexisNexis proprietary language)
• Attribute development and data transformation

What we offer

• Opportunity to influence critical risk‑assessment products.
• Collaborative "One Team" culture with deep ownership.
• Access to advanced analytics tools and large‑scale data sets.