Responsibilities:
1. Build, test and deploy machine learning models which will improve and/or automate decision making.
2. You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making.
3. Work proactively with technical and non-technical teams to deliver insights to support the wider business.
4. Implement comprehensive model monitoring.
5. Develop model training and evaluation pipelines to accelerate model development/deployment adhering to software development best practices (CI/CD & MLOps).
6. Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling.
7. Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content.
Requirements:
1. You have at least 3-4 years of experience as a professional Data Scientist.
2. Proven experience in data science, with a focus on machine learning model development/Large Language Model (LLM) application development.
3. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock).
4. Python, which makes up the majority of our Data Science stack.
Desirables:
1. Experience fine-tuning large language models is a bonus.
2. Prior experience utilising LLMs on mobile applications is a bonus.
3. Experience with open-source large language models (e.g., Llama).
About Starling:
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. 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 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.
Interview Process:
1. Stage 1 - 30 mins with one of the team
2. Stage 2 - Take-home challenge
3. Stage 3 - 60 mins technical interview with two team members
4. Stage 4 - 45 min final with two executives
Benefits:
* 33 days holiday (including public holidays, which you can take when it works best for you)
* An extra day's holiday for your birthday
* Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
* 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 including mental health support and cancer care.
* Generous family-friendly policies
* Incentives refer a friend scheme
* Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
* Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
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