Data Scientist

Data Scientist

Bristol Full-Time 28800 - 48000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: As a Data Scientist, you'll analyse data to drive insights and support decision-making.
  • Company: Join HL, a company dedicated to helping people save and invest for a brighter future.
  • Benefits: Enjoy flexible working options, competitive salary, and opportunities for personal growth.
  • Why this job: Be part of a mission-driven team that values innovation and social impact.
  • Qualifications: We're looking for candidates with a passion for data and relevant skills or experience.
  • Other info: Don't worry if you don't meet every requirement; enthusiasm is key!

The predicted salary is between 28800 - 48000 Β£ per year.

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 roleAt 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 doingDevelop 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 solutionsPlay a pivotal role in advancing our technical capability, ensuring data is used intelligently and effectively.About youYou 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 processThis interview process will incorporate competency-based questions and an assessment of your technical knowledge and transferable skills.Working ScheduleWe 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 review25 days * holiday plus bank holidays and 1-day additional Christmas closureOption to purchase an additional 5 days holiday **Flexible working options available, including hybrid workingEnhanced parental leavePension scheme up to 11% employer contributionIncome Protection and Life insurance (4 x salary core level of cover)Private medical insurance*Health care cash plans – including optical, dental, and out patient careHealth screening programmeHelp@hand – confidential support including mental health counselling and remote GPWellhub – unlimited access to fitness provider s and w ellness c oach sessionsVariety of travel to work schemes with bike storage and shower facilitiesInhouse barista and deli serving subsidised coffee and sandwichesT wo paid volunteering days per year* dependant on role level** only available to select during our annual benefits window, in November each yearHargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications 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 time basis – please ask the Recruitment & Onboarding team for more information.Please note, we are unable to provide employment sponsorship to candidates.

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Data Scientist employer: Hargreaves Lansdown

At HL, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Scientist, you will have access to exceptional growth opportunities, comprehensive training, and a supportive environment that encourages innovation and collaboration. Located in a vibrant area, we offer competitive benefits and a commitment to investing in your future, making us an outstanding employer for those looking to make a meaningful impact.
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Contact Detail:

Hargreaves Lansdown Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Scientist

✨Tip Number 1

Familiarise yourself with the latest data science tools and technologies that are relevant to our work. Being able to discuss your experience with specific programming languages or frameworks during the interview can really set you apart.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in the past. We love candidates who can think critically and apply their knowledge to real-world scenarios.

✨Tip Number 3

Network with current employees or alumni from your university who work in data science. They can provide valuable insights about our company culture and the types of projects we undertake, which can help you tailor your approach.

✨Tip Number 4

Prepare thoughtful questions to ask during your interview. This shows your genuine interest in the role and helps you understand how you can contribute to our mission of making investing easier for everyone.

We think you need these skills to ace Data Scientist

Statistical Analysis
Machine Learning
Data Visualisation
Programming Languages (Python, R)
Data Manipulation (SQL, Pandas)
Predictive Modelling
Big Data Technologies (Hadoop, Spark)
Data Mining
Critical Thinking
Communication Skills
Problem-Solving Skills
Collaboration and Teamwork
Attention to Detail
Business Acumen

Some tips for your application 🫑

Understand the Role: Take time to thoroughly read the job description for the Data Scientist position. Identify the key skills and experiences they are looking for, and think about how your background aligns with these requirements.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that match the job description. Use specific examples of past projects or roles where you demonstrated data analysis, statistical modelling, or machine learning.

Craft a Compelling Cover Letter: Write a cover letter that expresses your enthusiasm for the role and the company. Mention why you want to work at HL and how your skills can contribute to their mission of helping people save and invest for a better future.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at Hargreaves Lansdown

✨Understand the Company’s Mission

Before your interview, take some time to research HL's mission and values. Understanding their purpose of helping people save and invest will allow you to align your answers with their goals, showing that you're genuinely interested in contributing to their vision.

✨Showcase Your Data Skills

Prepare to discuss specific data science projects you've worked on. Be ready to explain your methodologies, the tools you used, and the impact your work had. This will demonstrate your technical expertise and problem-solving abilities.

✨Ask Insightful Questions

Prepare thoughtful questions about the role and the team. Inquire about the types of data you'll be working with or how success is measured in the position. This shows your enthusiasm for the role and helps you assess if it's the right fit for you.

✨Be Ready for Technical Challenges

Expect to face technical questions or case studies during the interview. Brush up on your statistical knowledge and coding skills, as you may need to solve problems on the spot. Practising common data science scenarios can help you feel more confident.

Data Scientist
Hargreaves Lansdown
Location: Bristol
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