Data Scientist (GenAI)

Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person.

Our Data Environment

Our Data teams are aligned to divisions covering Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and our customers.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Responsibilities:

• Build, test and deploy machine learning models which will improve and/or automate decision making.
• Deliver data driven solutions and insights to improve the speed, efficiency, and quality of decision-making.
• Work proactively with technical and non-technical teams to deliver insights to support the wider business.
• Implement comprehensive model monitoring.
• Develop model training and evaluation pipelines adhering to software development best practices (CI/CD & MLOps).
• Engage with Engineering teams to ensure we capture relevant data points for insights and modelling.

Minimum Requirements:

• You have at least 3-4 years of experience as a professional Data Scientist.
• Proficiency in Python, which makes up the majority of our Data Science stack.
• Proven experience in data science, focusing on machine learning model development/Large Language Model (LLM) application development.
• Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock).
• Demonstrable experience monitoring the performance and output quality of generative models.

Desirables:

• Experience fine-tuning large language models.
• Prior experience utilising LLMs on mobile applications.
• Experience with open-source large language models (e.g., Llama).

Interview Process:

Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general, you can expect the below, following a chat with one of our Talent Team:

• Stage 1 - 30 mins with one of the team
• Stage 2 - Take-home challenge
• Stage 3 - 60 mins technical interview with two team members
• Stage 4 - 45 min final with two executives

Benefits:

• 33 days holiday (including public holidays)
• An extra day's holiday for your birthday
• Annual leave is increased with length of service
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth
• Generous family-friendly policies
• Incentives refer a friend scheme
• Perkbox membership giving access to retail discounts

About Us:

You may be put off applying for a role because you don't tick every box. Forget that! We're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team.

Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace.