Job Description:
Junior Data Scientist
Salford (M50 3SP), Staines (TW18 3DZ) or London (EC2R 7HJ)
Flexible / Hybrid working options
Permanent
£32,000 - £39,900 Negotiable (depending on experience & location)
Full time 37.5 hours
We make health happen
At Bupa, we’re passionate about technology. With colleagues, customers, patients and residents in mind you’ll have the opportunity to work on innovative projects and make a real impact on their lives.
Right from the start you’ll become part of our digital & data strategy, joining us on our journey and developing yourself along the way.
Join our team as a Junior Data Scientist to analyse datasets related to pre-authorisations, claims, customer satisfaction, and service interactions. You'll help develop ML and AI solutions to enhance service metrics and improve customer satisfaction.
How you’ll help us make health happen:
As a Junior Data Scientist, you will:
Build ML models and AI solutions with guidance from the data science manager and team, including cloud deployment.
Enhance business understanding of Generative AI and its value for Bupa.
Deliver insights from various datasets, such as claims and pre-authorisations, with support from the team.
Assist in managing project lifecycles from conception to delivery, beyond just analytics.
Foster relationships with key stakeholders.
Support the Data Science Manager in establishing UKI Insurance Data & Analytics as a center of excellence.
Adhere to coding best practices.
Contribute to Snowflake user groups and Agile scrum teams.
Ensure customer data safety within the regulatory framework.
Key Skills / Qualifications needed for this role:
Ability to work on projects with guidance from the Data Science Manager and other data scientists.
Experience in building predictive ML models and AI solutions.
Delivering actionable insights, preferably in healthcare, Insurance or Financial industry.
Cloud deployment of ML and AI solutions.
Knowledge of ML algorithms (e.g., XGBoost, Light GBM, Random Forests) and advanced statistical techniques.
Proficiency in Python and SQL/SAS for data extraction.
Exposure to MS Azure tech stack and Generative AI solutions.
Understanding of Natural Language Processing techniques.
Effective communication of insights to stakeholders.
Interest in healthcare and the private healthcare market.
Familiarity with Agile methodologies and tools like Azure DevOps.
Experience with visualisation tools like Power BI.
Desirable: Bachelor’s or Master’s degree in a related field.
Benefits
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.
Joining Bupa in this role you will receive the following benefits and more:
· 25 days holiday, increasing through length of service, with option to buy or sell
· Bupa health insurance as a benefit in kind
· An enhanced pension plan and life insurance
· Onsite gyms or local discounts where no onsite gym available
· Various other benefits and online discounts
Why Bupa?
We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.
We encourage all our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences.
Bupa is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We’ll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them.
Time Type:
Full time
Job Area:
IT
Locations:
Angel Court, London, Bupa Place, Staines - Willow House
