Job Description

Senior Scientist - Product & Data Analytics

Location:

Flexible / Hybrid |

Type:

Full-Time

Are you passionate about experimentation, data-driven decision-making, and scientific innovation? We're looking for a

Senior Scientist

with a strong foundation in analytics and experimentation to join our team and drive the development of meaningful, consumer-facing digital products.

In this cross-functional role, you'll lead high-impact research initiatives, design rigorous experiments, and generate insights that directly influence product and business strategies. You'll collaborate closely with scientists, engineers, product managers, and other stakeholders to shape experiences used by millions.

Key Responsibilities

Lead and manage research and analytics projects from conception through execution Design experiments and implement advanced statistical methods (e.g., A/B testing, causal inference) Build and maintain metrics to track product success and user engagement Analyse complex data sets using SQL and Python to uncover actionable insights Integrate findings into broader product and business strategies in collaboration with cross-functional teams Communicate insights through clear reports, dashboards, and presentations Mentor junior analysts/scientists and support knowledge-sharing across the team Stay up to date with the latest methodologies and best practices in data science and experimentation Maintain high standards of scientific and analytical rigor

What You Bring

Extensive experience working on digital consumer products or data-centric platforms Deep expertise in

experimentation

,

A/B testing

, and

causal inference

Advanced proficiency in

SQL

,

data modelling

, and

Python

for analysis Familiarity with a range of analytical approaches and statistical techniques Excellent communication skills, with the ability to convey technical concepts to non-technical audiences Strong problem-solving skills and a proactive approach in fast-paced environments Experience collaborating across teams, especially with engineering and product stakeholders A commitment to scientific and analytical excellence (Bonus) Understanding of multi-sided marketplaces or behavioural data patterns

Ideal Background

Degree in a scientific, quantitative, or technical field (e.g., Computer Science, Mathematics, Statistics, Engineering) Experience with statistical software and data visualization tools Familiarity with research publication or documentation processes Experience mentoring junior team members is a plus Knowledge of lab or safety protocols is a nice-to-have if your background includes experimental science
Job Type: Full-time

Pay: 60,000.00-90,000.00 per year

Benefits:

Company pension Cycle to work scheme Gym membership Life insurance Work from home
Work Location: Hybrid remote in London NW1 6TT