Data scientist Work, Jobs in Potters Bar, Hrt (with Salaries)

Junior Data Scientist UK
Satalia —London
- Full-time
- Remote
- Computer Science
- SQL
- Python
- Flexible schedule
Data Scientist
NPL —Middlesex
- Hybrid work
16h
Data Scientist
Magentic —London
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Machine learning
- Work from home
1d
Associate Data Scientist
MI6 - Secret Intelligence Service —London
- £49,937 a year
- Full-time
- AWS
- Presentation skills
- Python
- Annual leave
14d
Data Scientist
TalentHub Global Ltd —Canary Wharf
- £70,000 - £80,000 a year
- Hybrid work
- Communication skills
- Python
- Health & wellbeing programme
- Annual leave
Quick apply
1d
Graduate Programme 2027: Data Scientist and Analyst
Revolut —London
- £12,600 a month
- Full-time
- Hybrid work
- English
- SQL
- Maths
Associate Data Scientist
MI6 —London
- From £49,937 a year
- Full-time
- Hybrid work
- AWS
- In-person
- Python
- Annual leave
Data Scientist
Tesco UK —Welwyn Garden City
- Full-time
- Machine learning
- AI
- Python
- Employee assistance programme
Data Scientist
EveryMatrix —London
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Master's degree
- Annual leave
- Work from home
Data Scientist
Compare the Market —London
- Hybrid work
- SQL
- Machine learning
- Banking
Quick apply
10d
Data Scientist, Integrity Measurement
OpenAI —London
- £293,000 - £385,000 a year
- Full-time
- SQL
- AI
- Python
Data Scientist - Forecasting
Tesco UK —Welwyn Garden City
- Full-time
- Management
- Engineering
- Maths
- Employee assistance programme
3d
Data Scientist Greece Mid Level
Satalia —London
- Full-time
- Remote
- Doctoral degree
- Master's degree
- AWS
- Flexible schedule
Data Scientist
Leisure Employment Services —Hemel Hempstead
- Part-time
- Hybrid work
- SQL
- Machine learning
- Travel
- Employee discount
Quick apply
Data Scientist I
MarketCast UK —London
- Hybrid work
- Computer Science
- Master's degree
- SQL
- Annual leave
- Flexitime
Quick apply
Scientist, Analytical Operations - Small Molecule Stability Data Management
GlaxoSmithKline —Stevenage
- Full-time
- Hybrid work
- Bachelor's degree
- No degree
- In-person
1d
Data Scientist — Data Engineering & Applied AI
Nationwide Utilities —London
- £36,500 a year
- Part-time
- Computer Science
- Engineering
- No experience needed
Quick apply
9d
DATA SCIENTIST
Merlin Entertainments —London
- Full-time
- Hybrid work
- Data analysis skills
- SQL
- Machine learning
- Employee discount
6d
Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
Data Scientist
Harmonic Security, Inc —London
- £85,000 - £105,000 a year
- Full-time
- Hybrid work
- AWS
- Python
- Annual leave
Quick apply

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Junior Data Scientist UK

Satalia
London

Apply Now

Job details

Full-time

Benefits

Company pension
Private medical insurance
Paid volunteer time
Flexible schedule

Qualifications

TensorFlow
Law
Computer Science
PyTorch
NumPy
Git
SQL
Pandas
Natural language processing
Data pipeline
Data science
Python

Full job description

Junior Data Scientist
Role type: Full time

Location: UK (Fully remote)

Preferred start date: ASAP

About Satalia
Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base. Led by WPP Chief AI Officer Daniel Hulme, we run as a high-autonomy, decentralised organisation where engineers and scientists own their domains end to end. We are building AI systems that operate on terabyte-scale multimodal datasets to power the next generation of marketing intelligence.

The Role
Our current work includes:
Agentic pipelines — multi-step LLM systems with tool use, planning, and self-evaluation that automate complex marketing workflows end to end.
Domain-adapted foundation models — fine-tuning open-weight LLMs (LoRA, RLHF, distillation) on proprietary WPP data for tasks like audience segmentation, creative scoring, and brand-safety classification.
Retrieval-augmented generation — production RAG systems over large proprietary corpora (embedding models, vector indices, re-ranking) that serve real-time answers to client queries.
Classical ML at scale — gradient-boosted models, causal inference pipelines, and
recommendation engines that run alongside LLM components in hybrid architectures.
This is a hands-on role where you will learn by working alongside experienced data scientists on real production systems that serve global clients. We invest heavily in developing our junior hires and will pair you with senior mentors who will help you grow into a strong, independent practitioner.

What You'll Do
Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular).
Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready system.
Write and maintain Python code that runs in production — scripts, pipeline components, and data processing jobs — with support through code review.
Help build and test components of LLM-powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines.

Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team.
Learn and adopt software engineering best practices — Git workflows, testing, documentation, and CI/CD — as part of your daily work.

What We're Looking For
A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience.
Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection.
Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code.
Familiarity with core data science libraries (pandas, NumPy, scikit-learn). Exposure to PyTorch or TensorFlow is a plus.
Some project experience with ML — academic projects, personal projects, internships, or competition entries all count. Show us something you've built.
Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions.
Clear communication — you can explain what you did, why, and what you learned from it.

Nice to Have
Exposure to deep learning (NLP or computer vision) through coursework or personal
projects.
Familiarity with Git and command-line workflows.
Experience with SQL or any data pipeline tooling.
Interest in LLMs, prompt engineering, or generative AI — even if it's just personal
experimentation.
Contributions to open-source projects, Kaggle competitions, or a technical blog.

What we Offer

Benefits - enhanced pension, life assurance, income protection, private healthcare;
Remote working - café, bedroom, beach - wherever works;
Truly flexible working hours - school pick up, volunteering, gym;
Generous Leave - 27 days oliday plus bank holidays and enhanced family leave;
Annual bonus - when Satalia does well, we all do well;
Impactful projects - focus on bringing meaningful social and environmental change;
People oriented culture - wellbeing is a priority, as is being a nice person;
Transparent and open culture - you will be heard;
Development - focus on bringing the best out of each other;

Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.

By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy.

Good luck!

Apply Now

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