Information/Cyber Security Data Scientist

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.

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