Summary

What you'll do:

• Identify and own challenging problems, form testable hypotheses, and drive significant business impact
• Lead the design and analysis of experiments or development of causal and predictive models to test your ideas
• Collaborate with product and engineering to affect changes in production systems and provide intelligence to other teams and communicate your conclusions to technical and non-technical audiences alike
• Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events
• Productionize and automate model pipelines within Python services

What it takes to succeed:

• Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.)
• Experience with predictive modeling/machine learning, forecasting, or causal inference
• Comfortable working in a Unix environment
• Sufficient software engineering skills to effectively work with software engineers.
• A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal
• The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value

What you'll get:

• Full responsibility for projects from day one, a collaborative team, and a dynamic work environment.
• Competitive salary, a pension scheme, and an optional employee stock purchase plan.
• 25 days paid holiday (rising to 29 with service), plus one floating holiday.
• £150 monthly reimbursement to help cover remote working expenses.
• £75 caregiver reimbursement to support dependent care for families.
• Private health insurance, including dental and vision.
• Flexible working hours and meeting-free Wednesdays.
• Regular 3-day Hackathons, bi-weekly learning groups, and productivity spending to support and encourage
• your career growth.
• Opportunities to participate in digital events and conferences.
• £75 per month to use toward qualifying wellness expenses.
• Quarterly team offsites.

Closing