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We are looking for Data Scientists with experience working in Financial crime and Anti-money laundering to help the bank solve complex problems using Machine Learning. This role will be broad in scope and you can expect to collaborate with many teams in order to advise, support and develop processes using the most appropriate methodology for the topic in hand. If you love building Machine Learning based solutions in an R&D driven environment then we'd love to hear from you.
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
Build, test and deploy models which will improve and/or automate decision making
Provide insightful analytics across the bank to assist with decision making
Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling
We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following:
Demonstrable industry experience in Data Science/Machine Learning across:
Strong data wrangling skills for merging, cleaning and sampling data
Desire to build explainable ML models (using techniques such as SHAP)
Understanding of the software development life cycle and experience using version control tools such as git
Excellent skills in Python and SQL
Experience with libraries such as Scikit-learn, Tensorflow, Pytorch
Demonstrable experience deploying machine learning solutions in a production environment
Strong data visualisation and communication skills are essential
Experience with AWS/GCP a plus
25 days holiday (plus take your public holiday allowance whenever 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
Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
Generous family-friendly policies
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 and Salary Sacrificed Gym partnerships
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. 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. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems.
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.
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