Data Scientist/Engineer

Swift
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / AI Engineer

Data Scientist - Contract

Data Scientist – Content Engineering

Senior Data Scientist Research Engineer

Data Scientist - Forward Deployed Engineer

Data Scientist – GenAI & AI Engineering

ABOUT US

We’re the world’s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value – across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we’re proud to support the global economy. 

We’re unique too. We were established to find a better way for the global financial community to move value – a reliable, safe and secure approach that the community can trust, completely. We’re always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant. Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions.

1. About the Role

Would you like to work for one of the leading players in the international financial services industry? Are you a creative and logical thinker?

Join Swift and be part of the Swift "Data Center of Expertise" team, in charge of defining, prototyping, tuning and evaluating solutions. You will be working with initial focus on anomaly detection, sanctions screening or data related initiatives to support the various business functions.

The Swift "Data & Services" offerings are changing the way that banks tackle regulatory compliance and financial crime prevention through new cloud based solutions and services that put businesses in control, improve performance and reduce operational cost.

Joining as a Data Scientist/Engineer will get the opportunity to learn from professionals with extensive experience in data analytics and financial crime compliance projects at global banks and financial institutions.

2. Responsibilities

We are looking for creative people with strong logical, technical and analytical skills capable of prototyping and refining advanced data driven solutions by leveraging data science/engineering and artificial Intelligence/machine learning techniques. The role would suit someone with a mathematical, data science, computer science background or similar. We are looking for an individual to contribute to the data science/engineering approach required for the project and support the software realization.

In addition to technical and analytical skills, the candidate must have sufficient business awareness to ensure solutions and proposed designs can be developed, deployed and used effectively and efficiently.

Using a data driven approach to solve business problems innovatively Develop artificial intelligence/machine learning capabilities Hands on prototyping and tuning of candidate solutions Assisting the development team with implementation of these solutions Working in collaboration with software developers using your IT development/software engineering skills Data manipulation, data analysis and statistics Programming experience in Python Learning new data analysis tools and scripting languages

3. Qualification

Conceptual Thinking Business Requirements Elicitation Engineering Practices Strong Communications Skills Stakeholder Management Continuous Improvement Analytical Thinking 

In addition, the following would be beneficial:

Market & Product Knowledge - Knowledge of Swift messaging, Anomaly detection, financial crime or sanctions screening solutions Artificial Intelligence/Machine learning knowledge Git, Jira, Confluence, UNIX

4. Education

University degree in Computer Science, Mathematics or Engineering

5.Experience

At least 2 years' experience as a data scientist/engineer

What we offer

We put you in control of career

We give you a competitive package

We help you perform at your best

We help you make a difference

We give you the freedom to be yourself

We give you the freedom to be yourself. We are creating an environment of unique individuals – like you – with different perspectives on the financial industry and the world. A diverse and inclusive environment in which everyone’s voice counts and where you can reach your full potential.

If you believe you require a reasonable accommodation to participate in the job application or interview process, please contact us to request accommodation.

Don’t meet every single requirement? At Swift, we are dedicated to building a workplace where people can bring their full selves and ideas to the team, so if you are excited about this role, we encourage you to apply even if you do not meet every single qualification.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.