Data Scientist

At Bupa, purpose meets possible. Join us and help shape a future where healthcare is more connected, more personal and more human.

We’re a global healthcare leader trusted by millions and committed to helping people to live longer, healthier, happier lives and making a better world. Healthcare is changing, and so are we. We’re investing in more clinics, better systems and smarter, more connected ways to help our customers. As we continue to expand our services and invest in innovation, you’ll help create a healthcare system that meets people where they are, responds to what they need and leaves them better than before. 

Here, your work has purpose, your voice matters and your future is full of possibility.

Just imagine the impact you could make.

The purpose of this job:

 Healthcare Programs & Claims Innovation has embarked on a program to evolve its Healthcare Insights Capability to support HCM commercial and operational teams more effectively and identify opportunities to connect in with the Enterprise, allowing the HI business to respond quickly to emerging trends in healthcare and develop tools and enablers to support clinical, commercial, and member-targeted strategies. Our strategy involves optimising the business of today, while reimagining our data and analytics capabilities to support the future of health and wellbeing and growing the business of tomorrow. 

Reporting to the Healthcare Intelligence Manager, the Data Scientist will play a key role in developing and deploying machine learning (ML) and statistical models to predict health, which drive strategic decision-making and improve operational efficiencies across Health Program, Hospital Funding, Claims Integrity and other Enterprise teams. The Data scientist will also collaborate with the Data Office to develop scalable modelling frameworks on the Azure Databricks platform as Bupa matures its analytics capabilities. The ideal candidate will leverage strong claims data understanding, ML & statistical methods, and industry knowledge to execute use cases across patient outcomes, healthcare trends and cost drivers. 

What you’ll need to make it possible

• Master’s degree in a highly quantitative field (mathematics, statistics, computer science, data science, analytics) or equivalent experience. 
• 3-5 years of experience in data analytics roles. 
• Excellent stakeholder engagement skill and administration of a curiosity to understand the business and develop innovative ideas to address problems and opportunities. 
• Excellent communication skills - being able to both interpret and convey information in a clear, concise way with people from a technical and non-technical background and use data to tell a story. 
• A strong background in data science, analytics or data engineering with desired experience in a Healthcare industry or insurance setting. 
• Proficiency and experience in statistical modelling and machine learning techniques (feature engineering, regression, classification, segmentation, cross-validation, bootstrapping, Bayesian techniques etc.) 

What you’ll be doing in this role: 

• Undertake and execute analytical approaches, such as developing/training/optimising machine learning models, other forms of analytical modelling (e.g., descriptive, predictive) and applied statistics. 
• Development of analytical solutions and working with the business to explore new technologies as they arise, creating end-to-end automation of machine learning solutions, where possible. 
• Lead in-house analytics projects and upskill people across Analytics Insights & Claims Integrity as appropriate. 
• Support the Healthcare Programs & Claims Innovation (HP&CI) Leadership team in its programme delivery through proactive engagement to deliver strategic and operational outcomes.
• Support HP&CI in identifying trends and opportunities with a focus on generating meaningful, actionable insights for the business and utilising visualisation tools for automation and presentation of analysis. 
• Collaborate with internal customers to identify their business problems and work with them to provide meaningful, actionable insights. 
• Apply your broad skillset across data and analytics to develop and implement analytical models to support key business areas such as fraud, waste and abuse, behaviour change, contract management, modelling and prediction through to interventions and health programs. 
• Compile insights and recommendations into clear, concise deliverables for internal business partners, derive insights from data and communicate those insights to a non-technical audience through presentations and documentation. 

Why you’ll love it?

We support our people to be the healthiest and happiest versions of themselves.

If this sounds exciting, we’d love to hear from you. Let’s shape the future of healthcare, together.

At Bupa your wellbeing, identity, and personal story are respected and valued. We are continuing to build teams that reflect the diversity of the communities we serve. Bupa is committed to providing equal opportunities and fostering a workplace and environment that is free of discrimination, bullying and harassment.

We actively encourage applicants from all backgrounds and experiences, including Aboriginal and Torres Strait Islander peoples, veterans, people with disabilities, and LGBTQIA+ applicants.

We are dedicated to removing barriers to participation. If you need any reasonable adjustments during the recruitment process, or if you’d like to discuss how this role can be flexible for you, please let us know so we can support your participation on an equitable basis.