Actuarial Data Scientist

The Senior Data Scientist will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross functional/operating units' collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Building, refining, and improving existing models as well as developing new techniques and applications to different areas of insurance. The role requires a blend of strong technical expertise, statistical analysis, software engineering and a deep understanding of the insurance industry.

· Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers to identify and define data science initiatives aligned with BRSS business goals and strategy.

· Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.

· Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors and market dynamics.

· Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where and why, using data to enhance customer retention and profitable growth.

· Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.

· Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.

· Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.

· Build platforms and applications to accelerate data science operations including Model Monitoring and improve process efficiencies of business workflows.

· Stay abreast of industry trends, emerging technologies and best practices in data science and insurance analytics.

· Experience in the Property & Casualty Insurance Industry

· 3+ years of experience as a Data Scientist or Actuary

• Developing pricing models and/or predictive/prescriptive models

· Proficiency in programming languages Python or R

· Experience with SQL · Experience building web applications (R Shiny/ Dash) as a workflow integration product.

· Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms - Microsoft Azure, AWS etc.)

· Understanding of NLP & Large Language models with insights on potential business applications in insurance.

Experience in leading a statistical/actuarial based analytical project.