Junior Data Scientist

Bupa
London
1 week ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist | London | SaaS Data Platform

Junior Data Scientist

Junior Data Scientist/Engineer

Junior Data Scientist

Junior Data Scientist

Principal Data Scientist - Marketing

Get AI-powered advice on this job and more exclusive features.

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 HouseSeniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesHospitals and Health Care

Referrals increase your chances of interviewing at Bupa by 2x

Get notified about new Data Scientist jobs inLondon, England, United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.