At a Glance
- Tasks: Lead the UK SanTalk product vision and drive customer-facing AI solutions.
- Company: Join Santander UK, a leader in innovative banking solutions.
- Benefits: Enjoy a competitive salary, 30 days holiday, car allowance, and private medical insurance.
- Other info: Collaborate with senior stakeholders and enjoy excellent career growth opportunities.
- Why this job: Shape the future of conversational AI and make a real impact in a regulated environment.
- Qualifications: 6-8 years in data science with strong leadership in AI solutions required.
The predicted salary is between 76000 - 114000 £ per year.
Senior data scientist and product owner leading UK SanTalk adoption in Santander UK. You will drive customer-facing AI solutions across contact centres and digital channels, shaping a compelling AI product vision and roadmap. You’ll align cross-functional teams with business needs, ensure responsible, scalable AI delivery, and measure value through production monitoring and benefits tracking. This role offers strategic influence across UK and Group stakeholders and a chance to shape conversational AI in a regulated environment.
Pay / Benefits
- Salary range £76,000–£114,000
- 30 days holiday plus bank holidays (31 days after 5 years)
- £6,000 car allowance
- Private medical insurance
- Death-in-service and income protection
- Share plans and employee discounts
Responsibilities
- Own the UK SanTalk product vision, strategy, roadmap and backlog for customer-facing AI in contact centres, chat and digital channels.
- Translate UK business priorities and user feedback into prioritized AI use cases and delivery plans with clear acceptance criteria.
- Represent Santander UK in Group forums to influence SanTalk roadmap and feature proposals.
- Lead end-to-end delivery, rollout, operation and continuous improvement of SanTalk solutions.
- Provide technical direction to data scientists, engineers and MLOps ensuring scalable, secure, production-ready solutions.
- Define success measures (customer, model, operations, financial) and optimize outcomes via monitoring and experiments.
- Manage governance, dependencies and risks in a regulated environment with embedded responsible AI and model governance.
- Coordinate alignment across senior stakeholders in Santander UK and Group, with transparent reporting and practical risk mitigation.
Key requirements
- 6-8 years in data science or applied AI with leadership of complex AI solutions (customer-facing preferred)
- Undergraduate degree in Computer Science, Data Science, Statistics, Engineering or related field
- English language proficiency; Spanish or international collaboration experience preferred
- Strong knowledge of ML, NLP, generative AI, experimentation and model evaluation
- Experience owning a digital/AI product lifecycle from strategy to live service optimization
- Experience designing/conducting conversational AI or customer-facing AI solutions; Sierra or similar platform experience preferred
- Understanding of contact-centre and digitally assisted channel operations, UK regulations, and production AI monitoring
- Technical leadership and solution walkthroughs
- Multitasking and concise reporting on progress, risks and decisions
- Vision shaping, business case challenge, cost-benefit quantification
- Machine learning
- Natural language processing
- Generative AI
Senior Data Scientist & SanTalk Product Owner | S4 | Chief Data & AI Office | Milton Keynes employer: Grupo Santander
At Santander Corporate & Investment Banking, we pride ourselves on being an exceptional employer that values diversity and fosters a collaborative work culture. Located in the heart of London, our team enjoys a competitive benefits package, including generous holiday allowances, tailored pension contributions, and comprehensive healthcare options, all designed to support both personal and professional growth. We empower our employees to thrive by providing opportunities for development and encouraging innovative thinking, making us a rewarding place to build a meaningful career in global banking.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist & SanTalk Product Owner | S4 | Chief Data & AI Office | Milton Keynes
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Grupo Santander!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist & SanTalk Product Owner | S4 | Chief Data & AI Office | Milton Keynes at Grupo Santander.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Grupo Santander.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist & SanTalk Product Owner | S4 | Chief Data & AI Office | Milton Keynes at Grupo Santander, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist & SanTalk Product Owner | S4 | Chief Data & AI Office | Milton Keynes
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Grupo Santander, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Grupo Santander. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Grupo Santander
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Grupo Santander!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.