At a Glance
- Tasks: Lead the design and delivery of advanced AI/ML solutions in banking.
- Company: Join a global fintech partner transforming the financial industry.
- Benefits: Health coverage, retirement plans, flexible work, and career development.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Shape the future of finance with cutting-edge technology and impactful projects.
- Qualifications: Advanced degree in Data Science or related field; strong AI/ML skills required.
The predicted salary is between 80000 - 100000 £ per year.
Position Overview: SBS is seeking a Lead/Principal Data Scientist to join its growing Data & AI function in the UK. This is a senior, high-impact role responsible for shaping and delivering advanced data science solutions across SBS products and client engagements.
The successful candidate will combine deep technical expertise with strategic leadership, driving the development of scalable AI/ML models, influencing product innovation, and enabling clients to unlock value from their data.
Hybrid: Flexible Onsite Schedule
Data Science Leadership
- Lead the design and delivery of advanced analytics, machine learning, and AI solutions across SBS platforms and client projects.
- Act as a technical authority for data science, setting best practices and standards across the organization.
- Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment.
Model Development & Deployment
- Develop and deploy machine learning models for use cases such as fraud detection and credit risk modeling.
- Partner with Product, Engineering, and Architecture teams to embed AI capabilities into SBS solutions.
- Identify opportunities to leverage AI/ML to enhance banking products and client outcomes.
- Engage with clients and internal stakeholders to understand business challenges and translate them into data science solutions.
- Act as a trusted advisor on data strategy and AI adoption.
Data Strategy & Governance
- Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements.
- Promote best practices in data governance, model validation, and ethical AI usage.
Qualifications:
- MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline.
- Strong grounding in machine learning, Generative AI, Agentic AI, explainable AI (XAI), and type-2 fuzzy logic systems.
- Proficiency in Generative and Agentic AI.
- Proficiency in AI/ML model development, including feature selection, XAI techniques, and consensus modelling.
- Strong programming skills (e.g., Python, Java, or similar) and experience with open-source AI libraries.
- Ability to integrate AI models into commercial software architectures and ensure compliance with GDPR and security standards.
- Experience with Generative AI Retrieval-Augmented Generation, and cloud deployment.
- Familiarity with financial data structures and API integration (desirable).
- Highly motivated, adaptable, and able to work independently while collaborating with academic and industry teams.
- Commercial awareness and ability to align technical solutions with business objectives.
- Strong organizational skills to manage complex, multi-stage projects.
- Strong written and spoken English, with excellent communication skills.
- Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance).
At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems.
As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance.
At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that allow you to thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work, career development, competitive pay, and global culture perks.
We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.
Lead Data Scientist - Banking in London employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Banking in London
✨Tip Number 1
Network like a pro! Reach out to current employees at SBS or in the banking data science field. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best AI/ML projects. Whether it's fraud detection models or credit risk analyses, having tangible examples will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and machine learning concepts. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the SBS team and being part of our innovative journey.
We think you need these skills to ace Lead Data Scientist - Banking in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with AI/ML models and any leadership roles you've had. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in banking and how you can contribute to our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Don’t forget to highlight your programming skills and experience with AI technologies. We’re looking for someone who can hit the ground running, so make sure we see your technical prowess right away!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SBS
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and AI knowledge, especially in areas like Generative AI and explainable AI. Be ready to discuss specific projects where you've developed or deployed models, as this will show your technical expertise.
✨Showcase Your Leadership Skills
Since this is a senior role, be prepared to talk about your experience in leading teams and mentoring others. Share examples of how you've fostered collaboration and high performance within your team, as well as how you've influenced product innovation.
✨Understand the Business Side
Get familiar with the banking sector and the specific challenges it faces. Be ready to discuss how your data science solutions can unlock value for clients and align with their business objectives. This shows that you can bridge the gap between technical and commercial needs.
✨Prepare for Ethical Discussions
Given the importance of data governance and ethical AI usage, be prepared to discuss your approach to these topics. Think about how you've ensured compliance with regulations like GDPR in past projects, and be ready to share your thoughts on best practices in data strategy.