Data Analyst

4 weeks ago


Southampton, Southampton, United Kingdom Starling Bank Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Starling Bank. As a Data Scientist, you will play a key role in delivering data-driven solutions and insights to improve the speed, efficiency, and quality of decision-making across the organization.

Key Responsibilities
  • Work collaboratively with technical and non-technical teams to deliver insights that support the wider business
  • Build, test, and deploy machine learning models to improve and/or automate decision-making
  • Provide insightful analytics to assist with decision-making across the bank
  • Engage with Engineering teams to ensure data points are captured that are relevant and useful for insights and modeling
Requirements
  • Demonstrable industry experience in Data Science/Machine Learning in Financial Crime, Anti-money laundering, Transaction monitoring, or Anomaly detection
  • Excellent skills in Python and SQL
  • Experience with libraries such as Scikit-learn, Tensorflow, and 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
Desirable Skills
  • Experience with AWS/GCP
  • Desire to build explainable ML models using techniques such as SHAP
What We Offer
  • 33 days holiday (including public holidays)
  • 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 & group income protection
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care
  • Generous family-friendly policies
  • Incentives refer a friend scheme
  • 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, Salary Sacrificed Gym partnerships, and Electric Vehicle (EV) leasing


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