Junior machine learning Work, Jobs (with Salaries)

Junior Data Scientist
Fospha —London
- Software troubleshooting
- AWS
- Machine learning
Quick apply
11d
Junior Data Scientist - AI Practice Team
American Bureau of Shipping (ABS) —Warrington
- Full-time
- SQL
- Bachelor's degree
- AI
Software Engineer, Junior / Graduate (m/f/*)
Quaisr —London
- £45,000 - £55,000 a year
- Full-time
- Hybrid work
- Software development
- Communication skills
- Annual leave
Junior Software Engineer
NCR Atleos —Dundee
- Computer Science
- Engineering
- Bachelor's degree
Quick apply
AI Engineer (LLMs, Agents & Applied Data Science)
Talan —London
- Full-time
- Hybrid work
- Machine learning
- Travel
- Mentoring
- Employee assistance programme
Quick apply
Junior+ ML Engineer
Mad Devs —Remote
- Remote
- English
- Software development
- AI
- Paid training
- Flexible schedule
Junior Algorithmic Developer, Analyst, London
Jefferies & Company, Inc. —London
- Full-time
- Computer Science
- Engineering
- Master's degree
Junior Cloud Reliability Engineer
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Flexible schedule
Quick apply
Junior Cloud Reliability Engineer
Jagex —Cambridge
- Full-time
- Communication skills
- Annual leave
- Flexible schedule
Junior Software Engineer - AI
Sirkka Networks Limited —North West London
- £28,000 - £35,000 a year
- Software troubleshooting
- Engineering
- No experience needed
- Health & wellbeing programme
- Employee discount
Quick apply
2d
Data Scientist I (BF5838)
PDI Technologies —Maidenhead
- Full-time
- Hybrid work
- AWS
- Analysis skills
- Bachelor's degree
Quick apply
Junior Quantitative Researcher
Durlston Partners —London
- Up to £125,000 a year
- Doctoral degree
- Master's degree
- Machine learning
Machine Learning Engineer
Gensler —London
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
- Profit sharing
- Annual leave
3d
Junior Condition Monitoring & Analytics Engineer
Hitachi Rail —London
- Full-time
- Hybrid work
- Engineering
- Machine learning
- In-person
- Employee assistance programme
- Life insurance
Junior Materials Data Scientist
Lucideon —Stone
- Full-time
- Master's degree
- Analysis skills
- Bachelor's degree
Quick apply
Junior Condition Monitoring & Analytics Engineer
Hitachi —London
- Full-time
- Hybrid work
- Engineering
- Machine learning
- In-person
- Employee assistance programme
- Life insurance
Junior Embedded Engineer (RTOS)
Lumai —Oxford
- Full-time
- Hybrid work
- Engineering
- Bachelor's degree
- Electrical Engineering
- Annual leave
Quick apply
Consultant, Analytics & AI, EY-Parthenon
EY —London
- Computer Science
- Analysis skills
- Machine learning
16h
Staff Machine Learning Engineer, Ads Foundational Representations
Reddit —London
- Remote
- Leadership
- Communication skills
- Analytics
- Annual leave
Quick apply
Senior ML Engineer (Reinforcement Learning)
Applied Data Science Partners —London
- Hybrid work
- Data analysis skills
- Analysis skills
- Maths
- Annual leave

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Junior Data Scientist

Fospha -
London

Quick apply

Job details

Internship
11 days ago

Qualifications

Technical troubleshooting
Software troubleshooting
Stakeholder liaison
Test automation
AWS
Machine learning
Data science
AI
Debugging

Full job description

Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.

About the role

We're looking for a Data Scientist to join Fospha's Data Science team in London, working within our Stream 3 workstream.

Fospha builds marketing measurement products for ecommerce brands — attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Our Data Science team owns the models behind all of it, from methodology through to production code. You will have the chance to work across our technical stack to make real code impacts on codebases.

This role suits someone with some commercial data science experience behind them who wants to go deeper. You'll take on interesting but challenging work with a supportive team structure and a company that rewards high agency with ownership.

Team: Data Science

Level: Developing (Data Science Career Development Framework)

Location: London

What you'll do

Own moderately difficult tickets end to end — analytical investigations, model backtesting, production bug fixes, and pipeline work, with decreasing need for step-by-step direction
Debug systematically across our codebases — including repositories you're only partly familiar with, using AI tooling to get up to speed quickly
Write and review production code — Python and SQL that avoids technical debt, plus reviewing AI-assisted code so it lands with minimal bugs
Use our QA automation and cloud tooling effectively — running validation properly and understanding the data science parts of our AWS pipelines
Communicate with clients and colleagues — explaining methodology and findings directly, with only minor assistance from senior colleagues
Push for clarity up front — working directly with other teams to pin down acceptance criteria and requirements, rather than sitting blocked waiting on them
Start becoming an internal data science champion — the person other teams come to on the areas you own

What we're looking for

Essential

Some commercial data science experience — typically 1–2 years, or a strong placement/internship record alongside a quantitative degree
Strong Python and SQL, with the ability to collaborate on shared code and avoid technical debt
Deep knowledge of a handful of machine learning algorithms — not breadth for its own sake, but real understanding of a few methods and when they apply
Able to systematically debug unfamiliar code, using AI tooling to accelerate rather than to guess while still understanding problem fully
Strong AI fluency — you understand how to optimally start a task with AI, you use it to unblock cross-team dependencies, and you always QA the output for accuracy and brevity before it goes anywhere
Confident completing work independently once scope is agreed
Able to communicate with clients and colleagues with only minor assistance
Genuine attention to detail — much of this work involves noticing when a number is wrong

Nice to have

Experience with AWS or comparable cloud tooling
Familiarity with automated QA tooling and test coverage practices
Any experience with marketing, ecommerce, or advertising data
Exposure to Bayesian methods, marketing mix modelling, or experimental design

Not required

You do not need prior experience with marketing mix modelling, attribution methodology, incrementality testing, or Bayesian modelling. These are taught here, and we'd rather hire someone who learns fast than someone who arrives pre-loaded.

How you'll grow

We run a published Data Science Career Development Framework with six levels. You'd join at Developing, where the expectations are:

AI Fluency & Tooling: Understands how to optimally start all relevant tasks with AI; confident completing work independently; uses AI to push for acceptance criteria and limit cross-department dependencies; always QAs AI output for accuracy and brevity.

Machine Learning & Modelling: Deep knowledge of a handful of algorithms, and familiarity with the full Fospha model suite.

Engineering & Codebase: Systematically debugs issues with AI support, even in partly familiar repositories; uses supplied AWS tooling efficiently and understands the data science parts of the pipelines; uses existing QA automation effectively; avoids technical debt and collaborates well on code; reviews AI-assisted code so it ships with minimal bugs.

Stakeholder & Communication: Communicates with clients and colleagues with minor assistance.

Job Complexity: Undertakes moderately difficult tickets while starting to become an internal data science champion.

Supervision: Receives detailed instruction, but becomes progressively less dependent on senior colleagues.

Progression to Career level is against explicit, published criteria — leading larger production projects, resolving bugs independently, and communicating as a modelling expert in your own right. You'll know what you're working towards from your first week.

Throughout, we look for the same core behaviours: concise communication, collaboration, problem solving, critical thinking, growth mindset, attention to detail, time management, and initiative.

Why Fospha

Real methodological depth. Bayesian attribution, MMM, geo lift testing, and causal inference are our day job, not a side project. You'll be working on all of it, not adjacent to it.
Published career framework. No guessing what the next level requires or when you'll get there.
A team that reviews each other's work properly. Code review and methodology critique from people who care about getting the model right.
Direct client impact. The models you build and maintain drive real budget decisions at brands you'll recognise.

Quick apply

Refine Your Search

junior machine learning jobs

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