Data Scientist (GenAI - Customer Identity)
Direct message the job poster from Starling Bank
Head of Talent Acquisition @ Starling Bank
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'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.
The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
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.
Responsibilities:
* Build, test and deploy machine learning models which will improve and/or automate decision making.
* You will be part of a team delivering 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.
* Develop model training and evaluation pipelines to accelerate model development / deployment adhering to software development best practices (CI/CD & MLOps)
* Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling.
Requirements:
* You have at least 3-4 years of experience as a professional Data Scientist
* Python, which makes up the majority of our Data Science stack.
* Proven experience in data science, with a focus 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, including assessing/mitigating hallucinations and coherence of generated content.
Desirables:
* Experience fine-tuning large language models is a bonus.
* Prior experience utilising LLMs on mobile applications is a bonus.
* 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, 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
About us
Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
#J-18808-Ljbffr