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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 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 your primary responsibilities. Help is never far away in our open culture; you will find support in your team and from across the business. We are in this together!
The way to thrive and shine within Starling is to be a self-driven individual and take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and ensuring 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. Our Data Environment Our Data teams are aligned to divisions covering the following 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. 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. Implement comprehensive model monitoring. 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. 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, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large language models is a bonus. Prior experience utilizing LLMs on mobile applications is a bonus. Experience with open-source large language models (e.g., Llama). Interview process: Our interviews are conversational, and we want to get the best from you, so come with questions and be curious. You can expect the following stages after 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: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology IT Services and IT Consulting
#J-18808-Ljbffr
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 your primary responsibilities. Help is never far away in our open culture; you will find support in your team and from across the business. We are in this together!
The way to thrive and shine within Starling is to be a self-driven individual and take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and ensuring 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. Our Data Environment Our Data teams are aligned to divisions covering the following 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. 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. Implement comprehensive model monitoring. 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. 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, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning large language models is a bonus. Prior experience utilizing LLMs on mobile applications is a bonus. Experience with open-source large language models (e.g., Llama). Interview process: Our interviews are conversational, and we want to get the best from you, so come with questions and be curious. You can expect the following stages after 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: You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology IT Services and IT Consulting
#J-18808-Ljbffr
