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Data Analyst and Machine Learning Specialist
2 months ago
Starling Bank Limited is a leading digital bank on a mission to revolutionize the banking industry. We're seeking a talented Data Scientist and Machine Learning Specialist to join our team and help us solve complex problems using machine learning.
Key Responsibilities- Deliver data-driven solutions and insights to improve the speed, efficiency, and quality of decision-making
- Work collaboratively with technical and non-technical teams to deliver insights to support the wider business
- Build, test, and deploy machine learning models to 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 relevant and useful data points for insights and modeling
- Demonstrable industry experience in Data Science/Machine Learning in one or more of:
- Financial Crime
- Anti-money laundering
- Transaction monitoring
- Anomaly detection
- Excellent skills in Python and SQL
- Experience with libraries such as Scikit-learn, Tensorflow, Pytorch
- 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 such as git
- Demonstrable experience deploying machine learning solutions in a production environment
- Experience with AWS/GCP
- Desire to build explainable ML models using techniques such as SHAP
We're committed to a fair and transparent interview process. Our process typically involves:
- Stage 1: 30-minute conversation with a member of our team
- Stage 2: Take-home challenge
- Stage 3: 90-minute technical interview with two team members
- Stage 4: 45-minute final interview with an executive and a member of our people team
Starling Bank Limited is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity and inclusion in the workplace. We're committed to creating a workplace where everyone feels valued, respected, and supported.
