Data Scientist

Hargreaves Lansdown
Bristol
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist/Machine Learning Engineer - RNA Design

Data Scientist - active NPPV3 required

Data Scientist | London | AI-Powered SaaS Company

Excited to grow your career? Learn more about thegeneral tasks related to this opportunity below, as well asrequired skills. Our purpose is to make it easy for people to saveand invest for a better future. We are looking for great people tojoin us, so please come and invest in YOUR future at HL. We knowthat sometimes people can be put off applying for a job if theydon't tick every box. If you're excited about working for us andhave most of the skills or experience we're looking for, please goahead and apply. We'd love to hear from you! About the role AtHargreaves Lansdown (HL) we're passionate about making it easy forpeople to save and invest for a better future and we believe thatdata & AI will play a significant role in helping us achieveour mission. We're therefore seeking a skilled Data Scientist tojoin our growing AI centre of excellence, leveraging cutting-edgetechnologies such as AWS & Snowflake to develop impactful AIproducts & solutions. Ideal candidates will have strongcommercial experience, expertise in coding (Python, SQL), and apassion for driving innovation while collaborating across bothtechnical and non-technical teams. You'll have the autonomy toidentify new opportunities for growth and improvement, leveragingyour existing skills while also expanding your expertise acrossdiverse projects and technologies. What you'll be doing Develop andimplement machine learning products in the cloud that improveclient experiences and boosts colleague productivity in real-time.Continuously monitor, retrain, and optimise existing models toensure optimal performance. Partner with product teams to identifykey challenges and embed effective, data-driven solutions. Exposemodel outputs via robust and scalable APIs, enabling seamlessintegration with other platforms. Drive innovation through buildingGenerative AI solutions Play a pivotal role in advancing ourtechnical capability, ensuring data is used intelligently andeffectively. About you You have strong commercial experience indata, with a proven track record of solving complex problems anddelivering tangible results. Experience building and deployingmachine learning solutions in the cloud (AWS experience preferred).Strong proficiency in coding (Python) and SQL (Snowflake).Excellent stakeholder management skills, capable of building trustand fostering collaboration across teams while effectivelychallenging the status quo when necessary. A skilled communicator,capable of translating complex data insights into actionablenarratives tailored to both technical and non-technical audiences.Highly autonomous with the ability to manage your workload andprioritise effectively. Proficient in using project managementtools such as Confluence/JIRA. Expertise in implementingstatistical techniques in production-grade code, with a focus onscalability and reliability. Experience with large-scale dataanalysis, manipulation, and distributed computing platforms (e.g.,Hive, Hadoop). Familiarity with advanced machine learning methods,including neural networks, reinforcement learning, and othercutting-edge Gen AI approaches. Skilled in API development anddeployment, with a focus on performance and scalability. Interviewprocess This interview process will incorporate competency-basedquestions and an assessment of your technical knowledge andtransferable skills. Working Schedule We are looking for a DataScientist to join our team, based in Bristol head office, BS1 5HL.This role is permanent, full time, 37.5 hours per week, Monday toFriday. We offer a hybrid flexible working pattern to enable youthe 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 privateinvestors, based in Bristol. For more than 40 years we've helpedinvestors save time, tax and money on their investments. To achieveour mission, we believe we have a workplace like no other, withconstant learning, dynamic teams, and a great ethos. We're steeredby core values that promote service, quality, innovation, andopportunity in everything we do. What's on offer? Discretionaryannual bonus* and annual pay review 25 days* holiday plus bankholidays and 1-day additional Christmas closure Option to purchasean additional 5 days holiday** Flexible working options available,including hybrid working Enhanced parental leave Pension scheme upto 11% employer contribution Income Protection and Life insurance(4 x salary core level of cover) Private medical insurance* Healthcare cash plans - including optical, dental, and out patientcareHealth screening programme Help@hand - confidential supportincluding mental health counselling and remote GP Wellhub -unlimited access to fitness providers and wellness coach sessionsVariety of travel to work schemes with bike storage and showerfacilities Inhouse barista and deli serving subsidised coffee andsandwiches Two paid volunteering days per year * dependant on rolelevel ** only available to select during our annual benefitswindow, in November each year Hargreaves Lansdown is an inclusiveemployer that values diversity in its workforce. We encourageapplications from all individuals without regard to race, religion,gender, sexual orientation, national origin, disability or age.This role may also be available on a flexible working or part timebasis - please ask the Recruitment & Onboarding team for moreinformation. Please note, we are unable to provide employmentsponsorship to candidates. #HLI

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

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 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.