Description:

We are looking for Data Scientists with experience in the areas of Information and Cyber security 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.

Responsibilities:

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

Requirements:

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 in Information / Cyber security

Experience applying anomaly detection techniques to big data (both structured and unstructured) using technologies such as Apache Spark

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

Benefits:

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

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. 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.

By submitting your application, you agree that Starling Bank may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information