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For Companies At a Glance
- Tasks: Dive into data science and AI, transforming real-world challenges into innovative solutions.
- Company: Global tech group at the forefront of engineering and digital innovation.
- Benefits: Up to £60,000 salary, hybrid work, and international travel opportunities.
- Why this job: Make a tangible impact in AI and data while collaborating with a dynamic team.
- Qualifications: Degree in a scientific or technical field; Python knowledge is essential.
- Other info: Join a vibrant culture with social events and exciting project exposure.
The predicted salary is between 50000 - 60000 £ per year.
Salary: Up to £60,000
Location: London (Hybrid)
Travel: Occasional international travel (UK, Europe, US)
About the Role
Our client is a global technology group operating at the intersection of engineering, science, and digital innovation. They are investing heavily in AI, data, and connected technologies to transform both their products and operations. This is a hands-on, early-career role designed for a technically curious graduate who wants to build real-world experience in data science, AI, and digital product development. You will sit within a central digital team supporting multiple business units on AI and data-driven initiatives. This is not a finance-driven analytics role. The focus is on scientific, engineering, and operational data, including time-series and image data, with exposure to machine learning experimentation and modern AI tooling, including GenAI.
What You’ll Be Doing
- Data Preparation and Engineering
- Collect, clean, and validate data from sensors, internal systems, APIs, and files.
- Build structured, reproducible datasets for analysis and modelling.
- Identify and resolve data quality and integrity issues.
- Exploratory Analysis and Insight Generation
- Perform exploratory data analysis to identify trends, anomalies, and patterns.
- Translate findings into clear, structured insights for stakeholders.
- Machine Learning and AI Support
- Support development and testing of machine learning pipelines.
- Work with time-series, tabular, and image datasets.
- Assist with experimentation, model comparison, and evaluation.
- Contribute to early-stage work in areas such as generative AI and language models.
- Data Visualisation and Communication
- Build dashboards, charts, and reports using Python or BI tools.
- Present outputs clearly to technical and non-technical audiences.
- Technology Research and Evaluation
- Assess AI tools and platforms, documenting strengths, limitations, and risks.
- Support evaluation of both internal and third-party solutions.
- Governance and Best Practice
- Maintain clear documentation and reproducible workflows.
- Support responsible AI practices and data governance standards.
Ideal Background
- Essential
- Degree in a scientific or technical discipline such as Physics, Chemistry, Biology, Engineering, Mathematics, or Data Science.
- If from a Computer Science background, proven exposure to scientific or experimental data.
- Working knowledge of Python (pandas, NumPy).
- Understanding of core machine learning concepts.
- Strong analytical thinking and attention to detail.
- Ability to communicate findings clearly.
- Highly Desirable
- Experience with time-series or image data (academic or project-based).
- Exposure to machine learning workflows or experimentation.
- Experience with data visualisation tools.
- Familiarity with Git.
- Interest in generative AI and emerging AI technologies.
What They’re Looking For
- A graduate or early-career candidate within 0–2 years.
- Strong scientific or engineering mindset, not finance-focused.
- Highly organised with strong documentation habits.
- Logical thinker who uses AI tools appropriately, not blindly.
- Curious, proactive, and comfortable learning through experimentation.
Environment and Culture
- Work across a wide range of AI, IoT, and digital product initiatives.
- Exposure to modern AI tooling and real-world applications.
- International project exposure across Europe and the US.
- Strong team culture with regular social events and collaboration.
- Working Pattern: Hybrid model combining London office, remote work, and travel.
- Project-based international travel required.
Who This Role Suits
Someone early in their career who wants to apply data and AI in real-world scientific and engineering contexts, rather than sitting in a purely reporting or finance-driven analytics role.
AI / Data Analyst in Slough employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, machine learning, or data visualisation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms – it’s all about clear communication!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for curious minds ready to dive into the world of AI and data. Your next big opportunity could be just a click away!
We think you need these skills to ace AI / Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI/Data Analyst role. Highlight any relevant projects or coursework, especially those involving Python, data visualisation, or machine learning.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and data science. Share specific examples of your curiosity and how you've applied your analytical skills in real-world scenarios.
Showcase Your Technical Skills: Don’t forget to mention your technical abilities! If you’ve worked with time-series or image data, or have experience with tools like Git, make sure to include that in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Anson McCade
✨Know Your Data
Make sure you brush up on your data preparation and engineering skills. Be ready to discuss how you would collect, clean, and validate data from various sources. Familiarise yourself with Python libraries like pandas and NumPy, as they’ll likely come up in conversation.
✨Show Your Curiosity
This role is all about being technically curious! Prepare examples of how you've explored data or experimented with machine learning concepts. Highlight any projects where you’ve had to think outside the box or learn new tools, especially in AI and data visualisation.
✨Communicate Clearly
You’ll need to present your findings to both technical and non-technical audiences. Practice explaining complex concepts in simple terms. Think about how you can translate your analytical insights into actionable recommendations that stakeholders can easily understand.
✨Be Ready for Questions on Governance
Understand the importance of data governance and responsible AI practices. Be prepared to discuss how you would maintain clear documentation and reproducible workflows. Showing that you’re aware of best practices will set you apart from other candidates.