Applied Scientist (Machine Learning)

Job Description

Your Mission

You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies.

Working with advanced predictive models, MLOps best practices, and scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers.

In this role, you’ll be:

• Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models.

• Working on projects including but not limited to customer lifetime value, churn propensity, forecasting, risk, cost-to-serve and cost-to-acquire modelling

• Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation.

Qualifications

Your Story

• Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)

• 5+ years of professional working experience

• Someone who thrives in the incremental delivery of high quality production systems

• Proficiency in Java, Python, SQL, Jupyter Notebook

• Experience with Machine Learning and statistical inference.

• Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation

• Ability to communicate model objectives and performance to business stakeholders

• Strong analytical and problem-solving skills

• Ability to think creatively and insightfully about business problems

• Nice to have:

  • Proficiency with Snowflake

  • Proficiency with Amazon SageMaker

  • Proficiency with Docker and Kubernetes

Additional Information

The Perks

• We trust you, so we offer flexible working hours, as long it suits both you and your team;

• Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps;

• Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support;

• 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.