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
