Data Scientist (Mid and Senior) - Fraud and Risk Evaluation

• Full-time

Hello! We're Teya.
Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

Your Mission

You will be part of a joint team of machine learning engineers and data scientists building and evolving ML models, real-time systems, reports, and deep analysis of fraud detection and mitigation activities to protect merchants, their customers, and Teya from illicit activities.

In this role, you’ll be:

• Helping Teya to use data to drive business decisions
• Working on projects including but not limited to fraud detection, transaction monitoring, customer onboarding risk, cost-to-serve and cost-to-acquire modelling
• Building predictive models to a production level adopting coding best practices
• Working closely with other data scientists and machine learning engineers to support the analytical part of the machine learning lifecycle

Your Story

• Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)
• 3+ years of professional working experience
• Proficiency in Python, Amazon SageMaker, SQL, Jupyter Notebook
• Experience with Machine Learning and statistical inference
• Understanding of ETL processes and data pipelines
• Ability to communicate outcomes of a data analysis to business stakeholders
• Strong analytical and problem-solving skills
• Ability to think creatively and insightfully about business problems
• Nice to have: Proficiency in Snowflake

The Perks

• Flexible working hours
• Physical and mental health support through our partnership with GymPass
• Extended and improved maternity and paternity leave options
• Cycle-to-Work Scheme
• Health and Life Insurance
• Pension Scheme
• 25 days of Annual Leave (+ Bank Holidays)
• Office snacks every day
• Friendly, comfortable and informal office environment in Central London

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