Senior Data Scientist | S4 | Chief Data & AI Office

Position: Senior Data Scientist | S4 | Chief Data & AI Office |
## Senior Data Scientist | S4 | Chief Data & AI Office | Milton Keynes Apply locations:
Unity Place - Milton Keynes time type:
Full time posted on:
Posted Todayjob requisition :
Req
1536771

Senior Data Scientist | S4 | Chief Data & AI Office | Milton Keynes Country:
United Kingdom
** IT STARTS HERE
** Santander () 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.

The
** Chief Data & AI Office (CDAIO)
** at Santander is responsible for setting the strategic direction for data, analytics, and artificial intelligence across the organisation. It ensures that data is managed as a trusted enterprise asset and that advanced technologies are applied responsibly, securely, and effectively to create value for customers and the business.
** THE DIFFERENCE YOU MAKE
** The
** Chief Data & AI Office (CDAIO)
** is looking for a
** Senior Data Scientist
** based out of
** Milton Keynes**.
** This role is a fixed term contract.
** As a
** Senior Data Scientist**, you will work with vast datasets to develop models that solve real-world problems, collaborate with talented colleagues across disciplines, and connect with the broader AI community to push scientific and practical boundaries.
** We are looking for curious**, driven Data & AI scientists who want their work to drive innovation with real impact. If you love tackling big challenges, banking offers some of the most complex and high-stakes AI problems, from risk management to financial inclusion, done responsibly and on a scale.

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:
* Research, design, and implement advanced AI algorithms (ML, DL, NLP, and beyond) to solve complex problems.
* Leading the development and implementation of advanced analytics solutions, including predictive modelling, machine learning and statistical analysis to solve complex business problems.
* Translate business challenges into scientific problem statements and build impactful ML/AI prototypes and models that deliver business impact.
* Work with large-scale structured and unstructured data to develop models that are accurate, fair, and sustainable.
* Collaborate with Data Engineers, ML Ops Engineers, Product Owners, and Business Stakeholders to deploy solutions into production.
* Contribute to AI best practices, model governance, and responsible AI frameworks.
* Stay current with the latest AI research and integrate relevant tools and techniques.
* Communicate insights and results clearly to both technical and non-technical audiences.
* Foster collaboration with academia and the global AI community to bring cutting-edge research into Santander.
** 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
*** Ideally, 6-8 years of experience working with vast datasets and developing models. **(Required).
**** Education
* ** Undergraduate degree in Computer Science or a related field, or equivalent work experience supported by professional certification/licences. **(Required).
**** Languages
* ** English. **(Required)
**** Hard Skills
***…