Data scientist Work, Jobs in Wootton, Bdf (with Salaries)

Lead Data Scientist
Brego —Silverstone
- £90,000 - £110,000 a year
- Full-time
- Remote
- Data analysis skills
- SQL
- Bachelor's degree
- Annual leave
- Flexible schedule
Quick apply
Fraud Data Scientist
Barclays —Northampton
- Computer Science
- SQL
- Analysis skills
11d
Senior Data Scientist | S4 | Chief Data & AI Office | Milton Keynes
A01 Santander UK plc —Milton Keynes
- £76,000 - £114,000 a year
- Full-time
- Hybrid work
- Computer Science
- English
- Bachelor's degree
6d
Senior Data Scientist
easyJet —Luton Airport
- Full-time
- Engineering
- Master's degree
- Presentation skills
- Annual leave
Data Scientist Senior Manager
easyJet —Luton Airport
- Full-time
- Hybrid work
- Machine learning
- Leadership
- Employee discount
7d
Data Science - Head of Data Science
Whitbread —Dunstable
- Full-time
- Hybrid work
- Machine learning
- AI
- Communication skills
Quick apply
Data Analytics Manager
Tesco UK —Welwyn Garden City
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- Machine learning
- Employee assistance programme
Data Analytics Engineer
easyJet —Luton Airport
- Full-time
- Hybrid work
- Azure
- Data analysis skills
- SQL
- Annual leave
7d
Data Scientist
Leisure Employment Services —Hemel Hempstead
- Part-time
- Hybrid work
- SQL
- Machine learning
- Travel
- Employee discount
Quick apply
Machine Learning Scientist - Quantum Chemistry
Roche —Welwyn
- Hybrid work
- Doctoral degree
- Machine learning
- Travel
Machine Learning DSP Engineer
Marshall Group —Milton Keynes
- Hybrid work
- C++
- Machine learning
- AI
Senior Data Scientist (Tesco Mobile)
Tesco UK —Welwyn Garden City
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
- Employee assistance programme
Technical Programme Manager - Data Analytics
Tesco UK —Welwyn Garden City
- Full-time
- IT
- Communication skills
- Employee assistance programme

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Fraud Data Scientist
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Lead Data Scientist

Brego
Silverstone

Quick apply

Job details

Full-time
£90,000 - £110,000 a year

Benefits

Annual leave
Company pension
Company events
Private medical insurance
Flexible schedule

Qualifications

TensorFlow
Law
PyTorch
Software deployment
NumPy
Data analysis skills
SQL
Pandas
Bachelor's degree
Machine learning
Mentoring
Predictive analytics
Data science
Leadership
Communication skills
Python

Full job description

Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market.

As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact.

Responsibilities

Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation.
Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics.
Take responsibility for production model performance, reliability and long-term maintenance.
Evaluate model performance and improve predictive accuracy across production models.
Develop and maintain automated retraining pipelines to keep models effective over time.
Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable.
Design and run experiments, track results and use data to drive model improvements.
Work closely with engineering and product teams to integrate models into production systems and deliver business value.

Requirements

Must have:

5+ years of experience building and deploying machine learning models in production environments.
Strong experience developing and training neural networks for real-world applications.
Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn.
Hands-on experience with PyTorch or TensorFlow.
Strong understanding of machine learning, statistics, and model evaluation methodologies.
Experience taking machine learning models from concept through deployment and ongoing production ownership.
Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking.
Experience with feature engineering and working with large, real-world datasets.
Experience writing clean, maintainable, production-quality Python code.
Experience with SQL for data analysis and data manipulation.
Experience deploying ML workloads in cloud environments.
Ability to independently own technical projects and make sound engineering decisions with minimal supervision.
Strong problem-solving skills with the ability to investigate complex data and modelling challenges.
Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
Experience collaborating with software engineers, product managers, and data engineers.
Eligible to work in the UK.

Nice to have:

Experience in the automotive industry or with vehicle data.
Experience in pricing, forecasting, risk modelling, or other predictive analytics domains.
Experience with MLOps tooling and infrastructure.
Experience building automated data and model pipelines.
Experience mentoring or providing technical leadership to other data scientists or engineers.

Benefits

Competitive salary of £90,000 - £110,000 per year, depending on experience.
Private healthcare.
Pension scheme.
Fully remote role with flexible working hours.
Working from home allowance.
Choice of Apple MacBook Pro or high-spec Windows workstation.
Learning and progression opportunities.
Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional.
High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy.
Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation.
Regular company social events.
25 days annual leave plus 3 additional days between Christmas and New Year.

Quick apply

Refine Your Search

data scientist jobs in wootton, bdf

Lead Data Scientist

Fraud Data Scientist

Senior Data Scientist | S4 | Chief Data & AI Office | Milton Keynes

Senior Data Scientist

Data Scientist Senior Manager

Data Science - Head of Data Science

Data Analytics Manager

Data Analytics Engineer

Data Scientist

Machine Learning Scientist - Quantum Chemistry

Machine Learning DSP Engineer

Senior Data Scientist (Tesco Mobile)

Technical Programme Manager - Data Analytics

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