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Data Scientist

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Bupa

May 4

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • London
  • Quick Apply

AI generated summary

  • You must have expertise in data science, statistical modeling, trend analysis, automation with Python/Power BI, and strong communication skills. Experience with large datasets and model performance monitoring is essential.
  • You will lead inflation trend forecasting, build and validate models, analyze insurance data, present insights, automate processes, monitor model performance, and collaborate with engineers.

Requirements

  • Demonstrated expertise in a data science role, building and validating models.
  • Skilled in statistical modelling, analysis and validation using tools such as Python, PowerBI etc.
  • Experienced in handling large datasets, both structured and unstructured.
  • Capable of identifying and analysing trends in data to support forecasting and decision-making.
  • Support colleague in the use of data scientist tools and techniques.
  • Competent in automating processes using Python, Power BI, or similar tools.
  • Adept at presenting data using visualisation tools.
  • 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.

Responsibilities

  • Lead Inflation Trend Insights & Forecasting: Utilise Bupa’s cutting-edge data platform to uncover inflation trends and support inflation forecasting.
  • Model Building & Insights: Create impactful timeseries models (and other models as required) and deliver actionable insights to stakeholders.
  • Be able to validate and explain model improvements – Using statical technical to valid models such as SHAP and LIME.
  • Identify Trends in Insurance Data: Use a range of statistical models and software (e.g., SAS, R, Python) to understand how member, provider, claim, demographic, and other external data link to our volumes and claim spend.
  • Support & Train Team: Help colleagues get the most out of our new data platform.
  • Present Data: Use appropriate visualisation tools (e.g., PowerBI, Matplotlib) 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.

FAQs

What is the job title for this position?

The job title is Actuarial Data Scientist.

Where is the location of the job?

The job is located at Angel Court, London EC2R 7HJ.

Is this position permanent or temporary?

This position is permanent.

What is the salary range for this role?

The salary range for this role is £56,100 - £65,500, depending on experience and location.

What are the working hours for this position?

The working hours for this position are full time, 37.5 hours per week.

What kind of working options are available?

Flexible/hybrid working options are available, allowing up to 3 days a week of working from home.

What skills are essential for the Actuarial Data Scientist role?

Essential skills include expertise in data science, statistical modelling, handling large datasets, trend analysis, automation using Python and Power BI, and strong communication skills.

Are there any desirable qualities for this position?

Yes, desirable qualities include experience or understanding of the Insurance industry, prior use of Snowflake, knowledge of key actuarial principles, and background in data platform transformation.

What benefits does Bupa offer for this role?

Benefits include 25 days of holiday, Bupa health insurance, an enhanced pension plan and life insurance, onsite gyms or local discounts, and various other benefits.

Does Bupa encourage diversity in its workforce?

Yes, Bupa champions diversity and encourages applications from people with diverse backgrounds and experiences.

What is Bupa's approach to disability inclusion?

Bupa is a Level 2 Disability Confident Employer, aiming to offer interviews to every disabled applicant who meets the minimum criteria for the role and providing reasonable adjustments as needed during the recruitment process.

What technologies will I be using in this role?

You will be using technologies and tools such as Snowflake, Python, Power BI, SAS, R, and various statistical modelling techniques.

Will I have the opportunity to train others in this role?

Yes, part of the role involves supporting and training colleagues to use data science tools and techniques effectively.

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Bupa

Our purpose is helping people live longer, healthier, happier lives and making a better world.

Science & Healthcare
Industry
10,001+
Employees
1947
Founded Year

Mission & Purpose

upa's purpose is helping people live longer, healthier, happier lives and making a better world. We are an international healthcare company serving over 38 million customers worldwide. With no shareholders, we reinvest profits into providing more and better healthcare for the benefit of current and future customers. We directly employ around 85,000 people, principally in the UK, Australia, Spain, Chile, Poland, New Zealand, Hong Kong SAR, Türkiye, Brazil, Mexico, the US, Middle East and Ireland. We also have associate businesses in Saudi Arabia and India.