Junior Data Scientist: Growth & Acquisition (Hybrid London)

iwoca; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Flexible working hours

Medical insurance

3% Pension contributions

25 days’ holiday per year

Equity incentive scheme

Private GP service

Annual company retreats

Job summary

United States Digital Space LLC in London is seeking a Junior Data Scientist to design experiments and build statistical models guiding how we reach new customers in sales and marketing. You will work under the mentorship of the team’s data scientist, collaborating with analysts, software engineers, and marketing professionals to translate data into actionable insights.

This role blends experimentation, modelling, and hands-on use of Python, with a strong focus on learning and rapid iteration in

Qualifications

• Background in probability and statistics from a quantitative field.
• Curious about new methods and actively tests them.
• Ability to evaluate model outputs and justify decisions.
• Ownership of workstreams from framing to decision.
• Experience with AI as a primary tool and tooling judgements.

Responsibilities

• Design experiments to inform sales and marketing decisions.
• Build models to address business problems with input on approach.
• Engage with a broader data science community to align on methodology.

Skills

Statistical foundations

Research mindset

Judgement

Analytical ownership

AI fluency

Communication

Domain experience

Causal inference

Marketing mix

Bayesian methods

Production ML

Python

Education

Statistics, Mathematics, Physics or similar degree

Master's degree (desirable)

Tools

Python

Job description

United States Digital Space LLC in London is seeking a Junior Data Scientist to design experiments and build statistical models guiding how we reach new customers in sales and marketing. You will work under the mentorship of the team’s data scientist, collaborating with analysts, software engineers, and marketing professionals to translate data into actionable insights.

This role blends experimentation, modelling, and hands-on use of Python, with a strong focus on learning and rapid iteration in