Junior Data Scientist - Sales & Marketing

United States Digital Space LLC

Greater London

Hybrid

GBP 40,000 - 60,000

Full time

3 days ago

Be an early applicant

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

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

Junior Data Scientist - Sales & MarketingHybrid in London, United Kingdom

We’re looking for a Junior Data Scientist

You'll design experiments and build the statistical models that shape how the company reaches new customers. You'll practise mastery of your craft, mentored by the team's data scientist, with the company's wider data science community around you.

The company

Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.

That's why we built the company. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.

We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.

The team

The Sales & Marketing team, also known as Direct Acquisition, owns how the company reaches UK small businesses – across paid and organic marketing channels and direct sales.

The team is autonomous and cross-functional, bringing together Marketing, Sales, Brand, and AcquiTech – the company's acquisition technology team, which includes software engineering, product, design, and data science. As a Data Scientist, you'll work with people across each function.

The role

As a Data Scientist in the Direct Acquisition team, you'll design experiments and build the statistical models that shape how the company reaches its next customers. Your findings feed directly into how we invest in sales and marketing.

You'll work alongside the team's data scientist, who mentors you closely as you take on more ownership.

Experimentation. You'll design and evaluate experiments so decisions on sales and marketing rest on evidence.

Modelling. You'll build models that solve the team's business problems, with input on approach and solution design.

Community and mastery. You'll join the company's wider data science community – analysts, data scientists, and statisticians – to align on methodology and develop your expertise across acquisition.

The requirements

Essential:

Statistical foundations. You have a background in probability and statistics from a quantitative field – typically a degree (or recent/final-year Master's) in Statistics, Mathematics, Physics, or similar. You reason about uncertainty and calibration as first-order concerns.

Research mindset. You're curious about new methods and actively look for better ways to do things. You try them out, not just read about them.

Judgement. You critically evaluate model output – yours, a colleague's, or an LLM's – and can explain why a choice is right. You defend your reasoning under challenge, and challenge others' when the evidence points elsewhere.

Analytical ownership. You take workstreams from framing to a landed decision, with support on solution design where you need it. You like to move fast, iterate, and update on new evidence rather than chase perfection.

AI fluency. You use AI as a primary tool. You prototype with it, automate with it, and use judgement on where it helps and where it doesn't.

Communication. You write and speak clearly, directly, and concisely. You adapt technical detail for non-technical colleagues in sales and marketing.

Bonus:

Domain experience. You have worked on marketing, sales, or customer acquisition problems.

Causal inference and experimentation. You have designed or analysed experiments where distinguishing signal from noise mattered – A/B tests, quasi-experiments, or lift studies.

Marketing mix or attribution modelling. You have used or contributed to models that quantify channel impact or optimise spend.

Bayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work.

Production ML. You have built and shipped supervised ML models end to end – exploration, training, deployment, monitoring.

Python. The stack the team uses.

The salary

We expect to pay from £40,000 to £60,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.

The culture

At the company, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.

We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them.

The offices

We put a lot of effort into making the company a great place to work:

Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.

Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.

The benefits

Flexible working hours.

Medical insurance from Vitality, including discounted gym membership.

A private GP service (separate from Vitality) for you, your partner, and your dependents.

25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.