At a Glance
- Tasks: Dive into data science, AI, and digital product development with hands-on experience.
- 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: Join a vibrant team culture with exciting social events and growth opportunities.
- Why this job: Make a real impact in AI and data-driven projects while learning from experts.
- 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 employer: ANSON MCCADE
As a global consulting organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to lead large-scale SAP programmes. With a competitive salary and comprehensive benefits package, we offer exceptional growth opportunities for those looking to advance their careers in a dynamic environment. Join us in London, Birmingham, or Manchester, where you can make a meaningful impact while working alongside talented professionals dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI / Data Analyst
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ANSON MCCADE.
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When you find a suitable opening like AI / Data Analyst at ANSON MCCADE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI / Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ANSON MCCADE, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ANSON MCCADE. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ANSON MCCADE
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ANSON MCCADE!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
