Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Scientist

Hargreaves Lansdown
Bristol
1 week ago
Create job alert

Excited to grow your career?

Our purpose is to make it easy for people to save and invest for a better future. We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown.

We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We’d love to hear from you!

About the role

At Hargreaves Lansdown (HL) we’re passionate about making it easy for people to save and invest for a better future and we believe that data & AI will play a significant role in helping us achieve our mission.

We're therefore seeking a skilled Data Scientist to join our growing AI centre of excellence, leveraging cutting-edge technologies such as AWS & Snowflake to develop impactful AI products & solutions.

Ideal candidates will have strong commercial experience, expertise in coding (Python, SQL), and a passion for driving innovation while collaborating across both technical and non-technical teams.

You’ll have the autonomy to identify new opportunities for growth and improvement, leveraging your existing skills while also expanding your expertise across diverse projects and technologies.

What you’ll be doing

Develop and implement machine learning products in the cloud that improve client experiences and boosts colleague productivity in real-time. Continuously monitor, retrain, and optimise existing models to ensure optimal performance. Partner with product teams to identify key challenges and embed effective, data-driven solutions. Expose model outputs via robust and scalable APIs, enabling seamless integration with other platforms. Drive innovation through building Generative AI solutions Play a pivotal role in advancing our technical capability, ensuring data is used intelligently and effectively.

About you

You have strong commercial experience in data, with a proven track record of solving complex problems and delivering tangible results. Experience building and deploying machine learning solutions in the cloud (AWS experience preferred). Strong proficiency in coding (Python) and SQL (Snowflake). Excellent stakeholder management skills, capable of building trust and fostering collaboration across teams while effectively challenging the status quo when necessary. A skilled communicator, capable of translating complex data insights into actionable narratives tailored to both technical and non-technical audiences. Highly autonomous with the ability to manage your workload and prioritise effectively. Proficient in using project management tools such as Confluence/JIRA. Expertise in implementing statistical techniques in production-grade code, with a focus on scalability and reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability.

Interview process

This interview process will incorporate competency-based questions and an assessment of your technical knowledge and transferable skills.

Working Schedule

We are looking for a Data Scientist to join our team, based in Bristol head office, BS1 5HL. This role is permanent, full time, 37.5 hours per week, Monday to Friday. We offer a hybrid flexible working pattern to enable you the option of working from home and coming into the office.

Why us?

Here at HL, we’re the UK’s number 1 investment platform for private investors, based in Bristol. For more than 40 years we’ve helped investors save time, tax and money on their investments.

To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do.

What's on offer?

Discretionary annual bonus*and annual pay review 25 days* holiday plus bank holidays and 1-day additional Christmas closure Option to purchase an additional 5 days holiday** Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Income Protection and Life insurance (4 x salary core level of cover)  Private medical insurance* Health care cash plans - including optical, dental, and outpatient care Health screening programme <- confidential support including mental health counselling and remote GP Wellhub - unlimited access to fitness providers and wellness coach sessions Variety of travel to work schemes with bike storage and shower facilities Inhouse barista and deli serving subsidised coffee and sandwiches Two paid volunteering days per year

* dependant on role level

** only available to select during our annual benefits window, in November each year

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.