Lead Data Scientist
About The Position
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About our Team: The Tech Optimization team's primary focus is to use business data to provide insights for the organization. To that end, we need a lead data scientist who can lead a small team of data analysts to pull the right datasets and create reports and dashboards for executive leadership. About the Role: The BI Data Scientist plays a critical role in transforming complex data into actionable insights that drive strategic decisions. This position combines advanced analytics with business intelligence practices to deliver scalable dashboards, predictive models, and data-driven recommendations. The role requires strong technical expertise, business acumen, and a solutions-oriented mindset. A Lead Data Scientist leads a team of junior members to support their development and work product. They define the scope of a project and execute that project as a team. They support the development and training of junior members. They develop best practices as team leaders.
Requirements
- Proficiency in Python, Excel macros, SQL; experience with BI tools (Power BI, Tableau) and automation tools.
- Strong understanding of ETL processes, data modeling, and database management; f amiliarity with machine learning frameworks and statistical analysis.
- Understanding of KPIs and organizational performance metrics.
- Able to manage a small team of data analysts and provide mentoring and guidance
Responsibilities
- Understand complex data relationships and design structured data models.
- Develop and maintain repositories to manipulate raw data into usable formats.
- Improve sourcing, manipulation, and delivery of data through internal tools.
- Perform independent data analysis to identify trends, patterns, and anomalies.
- Design and maintain frameworks to measure productivity gains from AI tools, automation, and other internal team initiatives
- Build user-friendly, scalable dashboards with drill-down capabilities.
- Automate data pipelines and reporting routines for timely delivery.
- Partner with technology teams to align analytics with organizational goals.
- Provide stakeholders with relevant analysis using consultative support; communicate insights through clear visualizations and storytelling.
- Ensure data integrity and adherence to governance standards.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
