Bupa group on cord

Bupa group

Senior Data Scientist

External position
Hiring internally for Bupa group?
Insurance · HealthTech
Our purpose is helping people live longer, healthier, happier lives and making a better world.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
11 hours ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior
Core skills considered: Machine Learning, Data Analysis, Python
Other skills considered: SQL, Azure, Agile

Logistics

Base salary: £45K - £45K
Employment type: Permanent
Remote working: Hybrid (up to 3 remote days p/w)
Visa sponsorship: Not available

Job Description

At Bupa, we're harnessing the power of data, machine learning and artificial intelligence to transform healthcare and insurance for our customers. We're looking for a Senior Data Scientist to join our Applied AI team and play a leading role in delivering innovative, data-driven solutions across our UK Insurance operations and healthcare management functions.

This is an exciting opportunity for an experienced data scientist who combines deep technical expertise with strong commercial awareness. You'll work with large, complex datasets, including claims, pre-authorisation and service interaction data, helping to uncover insights, develop predictive models and deliver AI solutions that make a tangible impact on our business and customers.

You'll also be a key advocate for Applied AI across the organisation, helping to shape opportunities, influence strategy and develop future talent.

As a Senior Data Scientist, you'll take ownership of projects from concept through to business delivery, combining advanced analytics, machine learning and AI to solve complex business challenges.


Responsibilities

  • Designing, building and deploying machine learning models and AI solutions across the full lifecycle, from data preparation and model development through to deployment, monitoring and optimisation.
  • Delivering actionable insights from complex healthcare and insurance datasets, presenting findings to stakeholders at all levels, including senior leadership.
  • Leading projects from initial problem definition through to implementation and business adoption.
  • Building and maintaining robust MLOps frameworks, governance processes and best practices.
  • Partnering with IT architects, platform teams and solution designers to ensure cloud environments support analytical and AI workloads.
  • Conducting ad hoc analysis using large-scale datasets including claims, pre-authorisation and customer service data.
  • Developing and maintaining strong stakeholder relationships across the business.
  • Coaching and mentoring junior team members and potentially supporting summer interns.
  • Championing coding standards, quality assurance and analytical best practice.
  • Working within Agile teams where appropriate.
  • Ensuring all work complies with regulatory requirements and maintains the highest standards of data security and governance.
  • Supporting the development of Generative AI solutions, including Retrieval-Augmented Generation (RAG), semantic search, agentic workflows and LLM orchestration.
  • Contributing thought leadership in Data Science, Machine Learning, AI and Generative AI to help position UK Insurance Data & Analytics as a centre of excellence.

What We're Looking For

We're seeking a highly analytical and commercially minded professional with a passion for turning data into meaningful outcomes.


Essential Skills and Experience

  • Proven experience delivering end-to-end machine learning solutions, including model development, deployment, monitoring and continuous improvement.
  • Experience implementing MLOps frameworks and operationalising machine learning at scale.
  • Strong track record of generating actionable insights from data, ideally within healthcare, insurance or another regulated industry.
  • Hands-on expertise with supervised and unsupervised machine learning techniques, including: XGBoost, LightGBM, Random Forests, Clustering techniques, Regression analysis, Correlation analysis, Multilevel modelling.
  • Strong programming and data engineering skills using Python, SQL and/or SAS.
  • Experience building automated machine learning pipelines and working with large enterprise data environments.
  • Strong experience with the Microsoft Azure ecosystem, including: Azure Machine Learning, Azure AI Studio, Azure Kubernetes Service (AKS), MLOps and model monitoring capabilities.
  • Experience developing Generative AI solutions using Azure AI Foundry, OpenAI technologies or Google Vertex AI.
  • Excellent communication skills with the ability to influence and engage stakeholders at all levels.
  • Demonstrated experience coaching, mentoring and developing colleagues.
  • Experience working within Agile delivery environments, using tools such as Azure DevOps.

Desirable Skills and Experience

  • Experience with advanced Generative AI and Agentic AI solutions, including: Retrieval-Augmented Generation (RAG), Embeddings and vector search, Evaluation frameworks, LLM orchestration.
  • Hands-on experience with frameworks such as: LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK, Similar AI frameworks.
  • Bachelor's degree in Mathematics, Statistics, Computer Science or another quantitative discipline.
  • Master's degree in Data Science, Statistics, Epidemiology or a related field.

About You

  • Thrives on solving complex business problems using data.
  • Can independently lead projects from concept through to implementation.
  • Balances technical excellence with commercial impact.
  • Communicates complex analytical concepts in a clear and engaging way.
  • Builds strong relationships across technical and non-technical teams.
  • Enjoys mentoring and supporting the development of others.
  • Has a genuine passion for the future of AI and data science.

Company Benefits

  • 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
  • Annual performance-based bonus
  • Onsite gyms or local discounts where no onsite gym available
  • Various other benefits and online discounts
Senior Data Scientist at Bupa group
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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