At a Glance
- Tasks: Dive into data science and AI, transforming real-world insights into impactful 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.
- Other info: Collaborative culture with exciting social events and career growth.
- Why this job: Join a dynamic team and shape the future of AI and data-driven projects.
- Qualifications: Degree in a scientific or technical field; Python knowledge is essential.
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 London employer: Anson McCade
Join a forward-thinking global technology group in London, where innovation meets collaboration. As an AI/Data Analyst, you'll thrive in a dynamic hybrid work environment that fosters professional growth through exposure to cutting-edge AI technologies and international projects. With a strong emphasis on teamwork and regular social events, this role offers a unique opportunity to apply your scientific mindset in real-world applications while building a rewarding career in data science and AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data fields on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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, as you'll need to communicate with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles that match your skills. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace AI / Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with 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. Share any projects or academic work that demonstrate your analytical thinking and problem-solving skills.
✨Communicate Clearly
You’ll need to present your findings to both technical and non-technical audiences. Practice explaining complex ideas in simple terms. Think about how you can use data visualisation tools to make your insights more accessible.
✨Stay Updated on AI Trends
Since the role involves generative AI and emerging technologies, do some research on the latest trends in AI. Be prepared to discuss your thoughts on new tools and platforms, and how they could be applied in a scientific or engineering context.
