Data scientist Work, Jobs in Chelmsley Wood, Wmd (with Salaries)

Junior Data Scientist
Friend MTS —Birmingham
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
- Annual leave
- Employee assistance programme
Quick apply
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
9d
AI Engineer
SCC —Birmingham
- Monday to Friday
- Hybrid work
- Azure
- System design
- APIs
Data Science & AI Lead
National Westminster Bank PLC —Birmingham
- £38,123 - £53,820 a year
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
- Annual leave
16h
Assistant Professor (Teaching Focussed) in Applied Artificial Intelligence (80407-0726)
University of Warwick —Coventry
- £47,389 - £56,535 a year
- Doctoral degree
- Computer Science
- University
7d
Solutions Manager - ShopperTrak Analytics
Johnson Controls —Solihull
- Full-time
- Master's degree
- Product management
- Agile
- Employee assistance programme
- Employee discount
AI/ML Engineer
C-Serv —Birmingham
- Full-time
- Remote
- Computer networking
- Python
Quick apply
Data Lead - AI and Automation
Smiths Group —Birmingham
- Full-time
- Azure
- ERP systems
- Java
Quick apply
Risk, AI Model Validation, Associate, Birmingham
Goldman Sachs —Birmingham
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
Lead Engineer - AI Agents
M-KOPA —Birmingham
- Full-time
- Remote
- AI
- Leadership
1d
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
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

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Driver and Vehicle Standards Agency —Birmingham
This role is suitable for hybrid working, which is a non-contractual arrangement where a combination of workplace and home-based working can be accommodated…
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Write and optimise SQL queries to extract, manipulate, and analyse data. Ensure compliance with data protection, governance, and information security…
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Junior Data Scientist

Friend MTS -
Birmingham

Quick apply

Job details

Full-time

Benefits

Annual leave
Company pension
Employee assistance programme
Enhanced paternity leave

Qualifications

Doctoral degree
Relational databases
Big data
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
S3
Data science
AI
Python

Full job description

About Friend MTS

Friend MTS is the world’s leading provider of content protection and anti-piracy solutions. We help the biggest brands in media, sports, and entertainment - including global broadcasters and sports leagues - protect their high-value content. Through Emmy® Award-winning forensic watermarking and real-time monitoring, we disrupt piracy at its source.

The Role

As a Junior Data Scientist, you will join our growing Data Science team to help us turn vast amounts of streaming and network data into actionable security intelligence. This is a unique opportunity to work on real-world problems where your models directly contribute to identifying illegal activity.

While we operate in a niche industry, we are looking for a generalist Data Scientist; no prior experience in anti-piracy or media security is expected. There is a wide variety of work across the business, ranging from data analysis and optimisation to modeling in multiple different areas. You should be comfortable pivoting between different types of data problems as the business evolves. This is a hybrid role that offers location flexibility, allowing you to be based at either our London or Birmingham office. You will be required to comfortably commute to your designated office location at least twice per week.

Key Responsibilities

Data Analysis & Exploration: Clean and process large datasets to uncover insights and trends within the noise of global streaming traffic.
Prototyping & Visualization: Build internal tools and interactive dashboards using Plotly and Streamlit to communicate findings to technical and operational teams.
Modelling & Optimization: Develop and apply various machine learning and statistical models to solve diverse business problems.
Collaborative Development: Partner with our engineering teams to ensure models are robust and ready for real-world application.
AI Integration: Actively leverage modern AI coding assistants to accelerate development and maintain high code quality.

Required Skills & Qualifications

At least 1-2 years of commercial data science experience required.
AI-Assisted Development: Deep experience leveraging AI tools daily for co-pilot programming is a must(e.g., Claude Code, GitHub Copilot, etc.). You should be highly efficient at using these tools to write, debug, and optimise code.
Programming: Strong, professional-level proficiency in Python is essential.
Cloud Platforms: Familiarity with cloud environments, specifically AWS (S3, etc.).
Education: A recent degree (BSc, MSc, or PhD) in a quantitative field such as Data Science, Computer Science, Mathematics, Physics, or Engineering.
SQL: Solid ability to query and manipulate relational databases.
Problem Solving: A structured approach to tackling complex problems and an ability to think "outside the box" when looking at varied datasets.

Desirable (But Not Essential)

Anomalous Pattern Detection: Experience or interest in identifying outlier behaviour and suspicious trends.
Computer Vision: General interest or experience in Computer Vision.
Big Data: Experience with Big Data tools such as PySpark or Databricks.
Communication: Ability to explain technical findings clearly to stakeholders.

What We Offer

- 25 days of annual leave (Incl. Bank Holidays) + 1 day off for your birthday
- Enhanced Pension - 5% employee and 5% employer contribution
- Life Assurance - on the successful completion of your probation (4x your salary)
- BUPA (on the successful completion of your probation)
- Employee Assistance Programme
- Enhanced Maternity, Paternity and Adoption Leave (after a qualifying period)
- Various Learning and Development Platforms
- A flexible Benefits and Wellbeing Platform
- Full tech set up to ensure you have what you need to be successful in your role
- Weekly breakfasts in the office
- Mentorship: Direct access to senior data scientists and engineers in a supportive, high-growth environment.
- Impact: The chance to work on technology that protects some of the most valuable media rights in the world.
- Growth: A clear career progression path within a private-equity-backed, global tech company.

Here at Friend MTS, we are dedicated to nurturing and expanding a culture of belonging where everyone feels seen, heard, valued for who they are. By embracing the diversity of our people (and future people!) we achieve our best work, together. We ensure that at all stages of our hiring process, your education level, neurodivergence, background, race, religion, colour, sex, age, sexual orientation, national origin, or disability will not influence your chances for selection.

If you are interested in applying for a role at Friend MTS and need special assistance, please make us aware and we will support you in accommodating this.

Quick apply

Refine Your Search

data scientist jobs in chelmsley wood, wmd

Junior Data Scientist

Principal Data Scientist

Senior Decision Scientist

AI Engineer

Data Science & AI Lead

Assistant Professor (Teaching Focussed) in Applied Artificial Intelligence (80407-0726)

Solutions Manager - ShopperTrak Analytics

AI/ML Engineer

Data Lead - AI and Automation

Risk, AI Model Validation, Associate, Birmingham

Lead Engineer - AI Agents

Senior Manager - Principal AI Engineer

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

Business Partner Analytics - Technical Analyst

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