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Data Scientist and Machine Learning Expert
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Starling Bank is a pioneering digital bank that's revolutionizing the way people bank. Our mission is to provide fast, fair, and honest banking services to our customers. We're a fully licensed UK bank with a culture that's fast-paced, innovative, and collaborative.
Job DescriptionWe're seeking a talented Data Scientist and Machine Learning Engineer to join our team. As a Data Scientist, you'll be responsible for building and deploying machine learning models that improve and automate decision-making processes. You'll work closely with our Engineering teams to ensure that we capture relevant and useful data points for insights and modeling.
Key Responsibilities- Design, develop, and deploy machine learning models that improve decision-making processes
- Collaborate with Engineering teams to ensure data quality and relevance
- Provide insightful analytics to support business decisions
- Stay up-to-date with industry trends and best practices in machine learning and data science
- Demonstrable experience in Data Science and Machine Learning, particularly in Financial Crime and Anti-money laundering
- Excellent skills in Python and SQL
- Strong data wrangling skills for merging, cleaning, and sampling data
- Strong data visualization and communication skills
- Understanding of the software development life cycle and experience using version control tools like Git
- Experience with AWS/GCP
- Desire to build explainable ML models using techniques like SHAP
We offer a range of benefits, including:
- 33 days holiday (including public holidays)
- An extra day's holiday for your birthday
- Annual leave increased with length of service
- 16 hours paid volunteering time a year
- Salary sacrifice and company-enhanced pension scheme
- Life insurance at 4x your salary and group income protection
- Private Medical Insurance with VitalityHealth
- Generous family-friendly policies
- Incentives for referring friends
- Perkbox membership with retail discounts and wellness platform
We're an equal opportunity employer and proud of our ongoing efforts to foster diversity and inclusion in the workplace. We welcome applications from individuals of all backgrounds and perspectives.
