Data scientist Work, Jobs in Oldbury (with Salaries)

Data Scientist
The AA —Oldbury
- Full-time
- Hybrid work
- Master's degree
- SQL
- Analysis skills
- Annual leave
- Employee assistance programme
5d
Principal Data Scientist
Kwalee —Leamington Spa
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Free parking
- Annual leave
Senior Decision Scientist
Lovey —Birmingham
- £70,000 - £80,000 a year
- Full-time
- SQL
- Machine learning
- Python
Quick apply
2h
AI Engineer
SCC —Birmingham
- Monday to Friday
- Hybrid work
- Azure
- System design
- APIs
Marcus by Goldman Sachs, MI Manager, Savings Analytics & Forecasting, Associate, Birmingham
Goldman Sachs —Birmingham
- Full-time
- Computer Science
- SQL
- AWS
- Employee assistance programme
Data Lead - AI and Automation
Smiths Group —Birmingham
- Full-time
- Azure
- ERP systems
- Java
Quick apply
Solutions Manager - ShopperTrak Analytics
Johnson Controls —Solihull
- Full-time
- Master's degree
- Product management
- Agile
- Employee assistance programme
- Employee discount
Senior Manager AI & Automation
Tarmac —Solihull
- Computer Science
- AI
- Employee discount
AI/ML Engineer
C-Serv —Birmingham
- Full-time
- Remote
- Computer networking
- Python
Quick apply
8d
Senior Manager - AI & Automation
Tarmac —Solihull
- Full-time
- Computer Science
- AI
- Employee discount
Quick apply
Senior Manager - Principal AI Engineer
KPMG —Birmingham
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Assistant Professor in Language Technologies and AI Governance (111754-0626)
University of Warwick —Coventry
- £47,389 - £56,535 a year
- University
- Teaching
Lead - AI Specialist
Homes England —Birmingham
- £59,631 - £69,548 a year
- Full-time
- Hybrid work
- Supervising experience
- Presentation skills
- SharePoint
- Annual leave
- Employee assistance programme
13d
Business Partner Analytics - Technical Analyst
Aldi —Atherstone
- £55,125 - £63,500 a year
- Monday to Friday
- Hybrid work
- Microsoft Excel
- SQL
- Analysis skills
- Annual leave
- Sick pay
10d

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Data Scientist

The AA -
Oldbury

Apply Now

Job details

Full-time
5 days ago

Benefits

Annual leave
Company pension
Employee assistance programme
Employee discount
Car scheme

Qualifications

Jira
Data mining
Law
Git
Master's degree
SQL
Statistical analysis
Analysis skills
Machine learning
Data science
Communication skills
Python

Full job description

Company Description/ Business Unit

Location: Oldbury (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus

Think the AA is just about roadside assistance? Think again.

For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a Data Scientist means you'll play a crucial role in our success and be part of this exciting motoring journey.

Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.

#LI-Hybrid

This is the job

Data is one of the AA’s biggest opportunities, and we are investing in the tools, platforms and AI capability to use it better. As a Data Scientist, you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation.

This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance.

We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions.

What will I be doing?

Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance.
Use data mining, modelling and algorithmic approaches, including AI and LLM-enabled techniques where appropriate, to solve complex business problems.
Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels.
Analyse trends, evaluate scenarios, assess risks and uncover insight that supports better business and customer outcomes.
Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice.
Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations.

What do I need?

We are looking for someone who can bring:

Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.
Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.
Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.
The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations.
Strong communication skills, with the confidence to explain complex analysis clearly to technical and non-technical stakeholders.
An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial.

Additional information

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

25 days annual leave plus bank holidays + holiday buying scheme
Worksave pension scheme with up to 7% employer contribution
Free AA breakdown membership from Day 1 plus 50% discount for family and friends
Discounts on AA products including car and home insurance
Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
Company funded life assurance
Diverse learning and development opportunities to support you to progress in your career
Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

#LI-HH

Apply Now

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data scientist jobs in oldbury

Data Scientist

Principal Data Scientist

Senior Decision Scientist

AI Engineer

Marcus by Goldman Sachs, MI Manager, Savings Analytics & Forecasting, Associate, Birmingham

Data Lead - AI and Automation

Solutions Manager - ShopperTrak Analytics

Senior Manager AI & Automation

AI/ML Engineer

Senior Manager - AI & Automation

Senior Manager - Principal AI Engineer

Assistant Professor in Language Technologies and AI Governance (111754-0626)

Lead - AI Specialist

Business Partner Analytics - Technical Analyst

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