At a Glance
- Tasks: Solve complex fraud problems using data analysis and machine learning techniques.
- Company: Join Santander, a tech-driven organisation focused on innovation and customer-centric solutions.
- Benefits: Competitive salary, wellbeing support, global growth opportunities, and flexible working arrangements.
- Other info: Collaborative team culture with a strong focus on personal and professional growth.
- Why this job: Make a real impact in fraud prevention while developing your skills in a dynamic environment.
- Qualifications: Experience with big data analysis; degree in a numerate discipline preferred.
The predicted salary is between 31800 - 81478 £ per year.
Country: United Kingdom
IT STARTS HERE
Santander (www.santander.com) is evolving from a global, high-impact brand into a technology-driven organisation, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.
Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
Santander Digital Services is the team of technology and operations at Santander. We are convinced of the importance of technology that is aligned with the requirements of the business and that our work not only brings value to users, people and communities but also fosters individual creativity. Our team of over 7,000 people in 8 countries (Spain, Portugal, Poland, UK, USA, Mexico, Chile and Brazil) develops and/or implements financial solutions across a broad spectrum of technologies (including Blockchain, Big Data and Angular among others) on all kinds of on-premises and cloud-based platforms.
THE DIFFERENCE YOU MAKE
Santander is looking for a Data Scientist based out of Milton Keynes and Liverpool. This role is a 12 month FTC/Secondment. You will be part of a close-knit team leading key AI and Data Science projects across the fraud space. You will be blending technical and non-technical skills to deliver tangible business benefits across the area.
If you are keen for an opportunity where you can grow your Fraud knowledge, and to work closely with data analysis, forecasting and modelling crucial data, then this could be an opportunity for you. We’re shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas.
To succeed in this role, you will be responsible for:
- Solving complex business problems using analytical tools such as SAS, SQL, Python.
- Performing analysis and optimisation on Fraud's portfolio of rules/models.
- Maintaining in-house fraud models using the latest machine learning/analytical techniques.
- Contributing towards the team’s learning ethos by sharing knowledge gained.
- Developing analytical projects end to end, considering stakeholder and customer needs.
- Communicating complex ideas to non-technical stakeholders.
WHAT YOU’LL BRING
Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organisation. We’re enabling teams to go beyond by valuing who they are and empowering what they bring. The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Professional Experience
- Proven experience working with big data to deliver complex analysis (Required)
- Experience working within the Fraud domain (Preferred)
- Education
- BSc or higher in a numerate discipline (Maths, Physics, Engineering etc) (Required)
- Hard Skills
- Data Analysis (Required)
- SAS (Preferred)
- SQL (Preferred)
- Soft Skills
- Strong stakeholder management skills
- Problem-solving
- Value driven mindset
WE VALUE YOUR IMPACT
At Santander, your contribution matters. We recognise the difference you make every day, and we make sure you feel valued, supported and rewarded in return. Here, recognition goes beyond pay. It’s about the pride you feel in your work, the impact you have on customers and communities, and the opportunities you have to grow and thrive — personally and professionally.
Salary Range: £54,318.00 - £81,478.00 per annum (depending on experience). This salary range represents the expected remuneration for the role. Annual salary is based on a standard 35-hour working week. Actual salary offered will depend on skills, experience, qualifications and location.
Competitive rewards that reflect the real impact you make and the value you bring. Wellbeing that goes beyond work — we work with a range of wellbeing partners across our 4 pillars of wellbeing (physical, mental, social and financial) to give you access to a suite of apps, discounted gym and fitness access, weekly online classes, flexible healthcare and mental health support. Support for every life stage — from menopause and pregnancy to parenthood and beyond, with enhanced family leave, childcare options and tailored wellbeing support. Time to give back through volunteering opportunities that let you make a difference in the communities we serve. Global growth opportunities to shape your career, learn new skills and explore what’s possible across our international network.
Ready to be recognised? It starts with you.
LOCAL COMPLIANCE
At Santander, we’re proud to be an inclusive organisation that provides equal opportunities for everyone — regardless of age, gender, disability, civil status, race, religion or sexual orientation. We’re committed to creating a recruitment experience that’s accessible, fair and welcoming for all candidates. We want our people to thrive — at work and at home — while delivering the best outcomes for our customers and supporting each other to grow.
To make this possible, our roles are site-based with a hybrid working pattern, where colleagues are expected to attend the office at least 12 days per month (pro-rata for part-time roles). When applying, please consider the travel distance, time and cost to your chosen office location(s). We welcome applications on the understanding that, should you be offered this role, there may be no relocation package available. Santander will pay the employer mandatory government fees that are required to pay in connection with visa sponsorship. You may be liable for your own personal employee immigration and relocation costs.
WHAT TO DO NEXT
If this sounds like a role you are interested in, then please apply. For further Guidance please visit Internal Mobility - Candidate Guidance. If you want to know more about the opportunity: Please contact Evan.Jones@santander.co.uk
Fraud Data Scientist | S3 | Fraud | Multiple Location | Internal Mobility. in Milton Keynes employer: Santander UK
Santander UK is an excellent employer, offering a vibrant work culture that fosters innovation and collaboration within the financial services sector. Employees benefit from a competitive salary, generous holiday allowance, and comprehensive health coverage, alongside opportunities for professional growth in a supportive environment. Working in this dynamic location not only enhances career prospects but also allows for meaningful contributions to risk management in technology and operations.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Data Scientist | S3 | Fraud | Multiple Location | Internal Mobility. in Milton Keynes
✨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 Santander UK 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 Santander UK.
✨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 Santander UK.
We think you need these skills to ace Fraud Data Scientist | S3 | Fraud | Multiple Location | Internal Mobility. in Milton Keynes
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Santander UK, 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 Santander UK, 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 Santander UK’s attention and show the tangible impact of your work.
How to prepare for a job interview at Santander UK
✨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 Santander UK.
✨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 Santander UK.
✨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 Santander UK.
