Data scientist Work, Jobs in Stanford Le Hope, Ess (with Salaries)

Data Scientist
Compare the Market —London
- Hybrid work
- SQL
- Machine learning
- Banking
Quick apply
Data Scientist
Product Madness —London
- Full-time
- SQL
- Analysis skills
- Machine learning
Data Scientist
Magentic —London
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- Master's degree
- Analysis skills
- Machine learning
- Work from home
6d
Data Scientist / Statistician
RSMB —London
- £28,000 - £35,000 a year
- Full-time
- Hybrid work
- Microsoft Excel
- Oracle
- SQL
Quick apply
10d
Data Scientist
CareADHD —Canary Wharf
- £65,000 - £75,000 a year
- Hybrid work
- SQL
- Machine learning
- AI
- Annual leave
Quick apply
4d
Data Scientist
Arup —London
- Master's degree
- Python
Data Scientist
Viber —London
- Computer Science
- Social media management
- Master's degree
Quick apply
Applied Scientist I
Entrust —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Python
Staff Data Scientist
Data Idols —London
- £100,000 - £130,000 a year
- SQL
- Machine learning
- Communication skills
Data Scientist (London)
The Voleon Group —London
- Full-time
- Hybrid work
- Data analysis skills
- Master's degree
- SQL
- Referral programme
Lead Data Scientist
Data Idols —London
- £85,000 - £95,000 a year
- Machine learning
- Python
13d
DATA SCIENTIST
Merlin Entertainments —London
- Full-time
- Hybrid work
- Data analysis skills
- SQL
- Machine learning
- Employee discount
11d
Data Scientist
EveryMatrix —London
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Master's degree
- Annual leave
- Work from home
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
5d
Data Scientist
WPP —London
- Hybrid work
- Computer Science
- Data analysis skills
- Bachelor's degree
4d
Data Scientist, Safety
OpenAI —London
- Full-time
- SQL
- Python
Junior Data Scientist UK
Satalia —London
- Full-time
- Remote
- Computer Science
- SQL
- Python
- Flexible schedule
Data Scientist (Part-time)
Greater London Authority —London
- £26,152.50 a year
- Part-time
- Hybrid work
- Machine learning
- Mentoring
- Python
- Annual leave
11d
Data Scientist - Market Research / Brand Health Tracking
Ipsos —London
- Data analysis skills
- Machine learning
- Communication skills
- Annual leave
Data Scientist
Faculty —London
- Full-time
- Hybrid work
- In-person
- Python
- Annual leave
11d

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Data Scientist

Compare the Market -
London

Quick apply

Job details

Qualifications

SQL
Machine learning
Banking
Python

Full job description

Data Scientist

Function: Data
Location: Hybrid, London

Curious about what’s next?
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.

At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.

We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in.

We’d love you to be part of our journey.

As a Data Scientist at Compare the Market, you’ll play a key role in developing AI and machine learning solutions that improve customer journeys, pricing intelligence, and product personalisation. Working cross functionally alongside engineers, analysts, and product managers contributing to real-world applications of machine learning that impact millions.

Some of the great things you’ll be doing:

AI Solution Delivery

Contribute to the development of machine learning solutions from design through to deployment
Build and evaluate predictive models using Python and SQL
Translate business challenges into structured data science problems

Applied Science & Experimentation

Conduct statistical analysis and feature engineering to generate actionable insights
Support A/B test design, evaluation, and interpretation with rigour and clarity
Collaborate with stakeholders to ensure data science solutions are well aligned to product and business needs

Platform & Practices

Work with ML Engineers to support deployment, monitoring, and performance tracking of your models
Contribute to team standards on reproducibility, documentation, and model evaluation
Apply responsible AI practices to ensure fairness and transparency

Team & Learning

Take part in peer reviews, knowledge sharing, and internal learning sessions
Support and coach junior team members and peers, contributing to their growth
Play an active role in shaping our data science culture and community

What we’d like to see from you:

Must Have

Experience delivering machine learning or advanced analytics solutions with measurable impact
Proficient in Python and SQL, with practical experience in modelling, feature engineering, and evaluation
Strong problem-solving skills and ability to break down complex problems into data-driven approaches
Comfortable working collaboratively in cross-functional teams
Clear communicator with a passion for sharing insights and learning from others
A background in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, Engineering) or equivalent hands-on experience in applied machine learning

Nice to Have

Experience working in regulated sectors such as insurance, banking, or financial services
Familiarity with tools like MLflow, model registries, or experimentation platforms
Understanding of basic CI/CD concepts or exposure to production ML workflows
Interest in generative AI or large language models (e.g. OpenAI, Vertex AI)
Awareness of responsible AI principles, such as fairness or explainability in models

Why Compare the Market?

We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.

We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.

If you’re ready to stretch yourself, raise the bar, and grow with a team that’s serious about performance, innovation, and purpose, we’d love to hear from you.

Quick apply

Refine Your Search

data scientist jobs in stanford le hope, ess

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