At a Glance
- Tasks: Design and build innovative AI-powered data solutions for a leading global investment bank.
- Company: Join FDM, a global leader in tech and business talent solutions.
- Benefits: Enjoy competitive salary, career coaching, and opportunities to work abroad.
- Other info: Hybrid role in London with excellent career growth and upskilling opportunities.
- Why this job: Dive into cutting-edge AI technologies and tackle complex data challenges.
- Qualifications: 3-5 years in Data Engineering with strong Python skills and experience in data processing.
FDM is a global business and technology consultancy seeking a Data & AI Engineer with 5 years+ commercial experience to join a high-profile team developing innovative AI-powered solutions within a leading global investment bank. This is initially a 6 month contract with very good prospects to extend and will be a hybrid role based in London.
This role sits at the intersection of data engineering, large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced analytics. You'll work on building scalable data platforms that enable AI systems to process, understand and analyse complex datasets, helping users generate deeper insights through intelligent scenario modelling and decision support.
This is an excellent opportunity for an engineer who enjoys solving complex data challenges and wants hands-on experience with some of the most exciting technologies shaping enterprise AI today.
Responsibilities:
- Design, build and maintain data ingestion and processing pipelines.
- Source, access and integrate data from multiple structured, semi-structured and unstructured sources.
- Prepare, transform and structure large volumes of data for analytics and AI-driven applications.
- Develop integrations with internal and external REST APIs.
- Work extensively with JSON, dictionaries, DataFrames and modern data formats.
- Perform data exploration and analysis to understand data quality, structure and relationships.
- Support the ingestion, preparation and optimisation of data for AI and LLM-based applications.
- Build data solutions that enable efficient retrieval, search and analysis of information.
- Contribute to the development of AI-driven analytical and decision-support platforms.
- Collaborate closely with engineers, data specialists and business stakeholders to solve complex technical problems.
- Support advanced scenario modelling and 'what-if' analysis capabilities powered by modern AI technologies.
- Stay up to date with emerging trends in data engineering, AI and machine learning.
About You
Data Engineering and Python:
- 3–5 years' experience in Data Engineering, Software Engineering, AI Engineering or a related technical discipline.
- Strong Python development skills.
- Proven experience using pandas for data manipulation and analysis.
- Good understanding of regular expressions (regex).
- Experience working with structured, semi-structured and unstructured datasets.
Data Processing and Analysis:
- Strong experience working with JSON, Python dictionaries and modern data structures.
- Experience sourcing, accessing, analysing and interrogating large datasets from multiple sources.
- Strong understanding of data relationships and data modelling principles.
- Experience performing joins, merges and transformations across multiple datasets.
- Ability to identify patterns, trends, anomalies and data quality issues.
- Experience understanding how disparate datasets relate to one another and can be combined to generate insight.
- Comfortable exploring unfamiliar datasets, understanding underlying structures and determining how data can be leveraged for downstream analytical use cases.
- Experience converting and managing data between DataFrames, dictionaries and JSON structures.
- Experience building and maintaining data ingestion, transformation and processing pipelines.
API and Integration:
- Experience consuming and integrating REST APIs.
- Understanding of service-based architectures and API-driven data platforms.
- Experience building APIs using frameworks such as FastAPI would be advantageous.
AI and Modern Data Platforms:
- Understanding of Retrieval-Augmented Generation (RAG) concepts and architectures.
- Familiarity with Large Language Models (LLMs) and modern AI ecosystems.
- Understanding of how AI systems utilise:
- Vector embeddings
- Retrieval mechanisms
- Semantic search
- Large Language Models (LLMs)
- Ability to understand and work within AI-enabled data ecosystems.
Desirable Skills:
- Exposure to enterprise AI platforms, LLM tooling or AI-enabled applications.
- Knowledge of machine learning concepts and techniques.
- Experience with Knowledge Graphs and graph-based data modelling.
- Experience using data visualisation tools such as Plotly & Plotly Dash.
About Us
FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.
Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.
Why join us
- Career coaching, mentoring and access to upskilling throughout your entire FDM career.
- Assignments with global companies and opportunities to work abroad.
- Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field.
- Annual leave and work-place pension.
Data & AI Engineer in London employer: FDM Group
FDM is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. As a Senior Mobile Security Specialist in Bristol, you'll benefit from career coaching, mentoring, and opportunities to work with global clients, all while being part of a diverse and inclusive team committed to innovation in the finance and consultancy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like FDM Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like FDM Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like FDM Group.
We think you need these skills to ace Data & AI Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at FDM Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to FDM Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab FDM Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at FDM Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at FDM Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at FDM Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at FDM Group.
