Fraud Data Scientist | S3 | Fraud | Multiple Location | Internal Mobility.

Fraud Data Scientist | S3 | Fraud | Milton Keynes Unity Place | Internal Mobility. 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 out 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 . 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 [email protected]