Data Scientist

Bupa; Camden Town; On-site; GBP 50,000 - 70,000; Full time

Job summary

A health insurance provider is seeking an Actuarial Data Scientist to develop models for reserving, planning, and reporting. You will leverage data platforms such as Snowflake, collaborate with various stakeholders, and utilize statistical tools to forecast claims trends. The position requires strong skills in Python, SAS, and data visualization tools like PowerBI. This role offers an opportunity to contribute to important financial and operational insights.

Benefits

Flexible working

Family friendly benefits

Global wellbeing programme

Qualifications

• Advanced proficiency in using Snowflake for data management.
• Capable of identifying and analysing trends in data.
• Experienced in monitoring model performance and ensuring reliability.

Responsibilities

• Build reserving, planning and reporting models.
• Forecast expected levels of claims inflation.
• Present data using visualization tools.

Skills

Statistical modelling and analysis using SAS

Data management using Snowflake

Python

Data visualization using PowerBI or Tableau

Handling large datasets

Communication skills

Tools

SAS

R

PowerBI

Tableau

Job description

Overview

We are looking for a talented Actuarial Data Scientist to join our team. In this role, you will contribute to the development of models related to reserving, planning, and reporting workstreams using statistical models and software. You will engage in self-directed project work and collaborate with stakeholders across Pricing, Finance, and Healthcare Management. This is all about developing you, your actuarial techniques to demonstrate value from data. Additionally, you will leverage our new data platform on Snowflake to drive trend insights and forecasting for BUPA. If you are passionate about data science and eager to make an impact, we would love to hear from you!

Bupa is an equal opportunity employer focused on technology and innovation. Right from the start you’ll become part of our digital & data strategy, joining us on our journey and developing yourself along the way.

Responsibilities

• Build reserving, planning and reporting models: utilise Bupa’s data platform to uncover trends and support claims reserving and annual operating planning.
• Forecast expected levels of claims inflation in different areas of the business.
• Detect new trends and changes in data to enhance forecasting accuracy.
• Model Building & Insights: create impactful timeseries models (and other models as required) and deliver actionable insights to stakeholders.
• Identify trends in Insurance Data: use statistical models and software (e.g., SAS, R, Python) to understand how member, provider, claim, demographic, and other external data link to volumes and claim spend.
• Present Data: use visualisation tools (e.g., PowerBI, Tableau) to present data.
• Communicate Insights: effectively communicate insights to the wider business to help steer company strategy (e.g., Reserving, Planning, Pricing, Claims Management).
• Automate Processes: streamline processes using Python, Power BI, and other tools.
• Monitor Models: ensure the reliability and performance of models through effective monitoring.
• Handle Large Data Sets: work with both structured and unstructured data to derive insights.
• Collaborate with Engineers: partner with data engineers to define requirements for model builds and data feeds.
• Innovate & Challenge Norms: lead best practices and challenge existing processes to drive innovation.
• Support & Train Team: help colleagues get the most out of our new data platform.
• Snowflake Expertise: advanced proficiency in using Snowflake for data management and analysis.
• Skilled in statistical modelling and analysis using tools such as SAS, R, Python, etc.
• Experienced in handling large datasets, both structured and unstructured.
• Capable of identifying and analysing trends in data to support forecasting and decision-making.
• Proficient in building and validating timeseries and other predictive models.
• Competent in automating processes using Python, Power BI, or similar tools.
• Adept at presenting data using visualisation tools like PowerBI, Tableau, etc.
• Strong communication skills for effectively conveying insights to various stakeholders.
• Proactive in challenging existing processes and driving innovation.
• Experienced in monitoring model performance and ensuring reliability.

Desirable Qualities

• Experience or understanding of the Insurance industry.
• Actuarial Concepts: Knowledge of key actuarial principles.
• Transformation Experience: Background in environments undergoing data platform transformation.

About Benefits & Diversity

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health - from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits. Why Bupa? We are a health insurer and provider focused on customers, with a diverse team working to help people live longer, healthier, happier lives.

Bupa is a Level 2 Disability Confident Employer and aims to offer interview/assessment to every disabled applicant who meets the minimum criteria for the role, with reasonable adjustments as needed during recruitment.

Time Type: Full time | Job Area: Finance & Accounting