At a Glance
- Tasks: Lead the design and delivery of advanced AI/ML solutions for innovative banking products.
- Company: Join a global fintech leader transforming the financial industry with cutting-edge technology.
- Benefits: Enjoy flexible work, competitive pay, health coverage, and career development opportunities.
- Other info: Be part of a diverse team driving innovation in a rapidly evolving industry.
- Why this job: Shape the future of finance while mentoring a dynamic team in a collaborative environment.
- Qualifications: MSc or higher in AI, strong machine learning skills, and excellent communication abilities.
The predicted salary is between 80000 - 100000 £ per year.
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.
Location: Greater London, UK
Hybrid: Flexible Onsite Schedule
Responsibilities:
- 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, credit risk modeling, customer segmentation and personalization, forecasting and optimization.
- Ensure models are scalable, explainable, and production-ready.
- Work closely with engineering teams to operationalize models within production environments (MLOps).
- Product & Innovation
- 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.
- Drive innovation through experimentation with emerging technologies (e.g., GenAI, LLMs, predictive analytics).
- Client Engagement & Stakeholder Management
- Engage with clients and internal stakeholders to understand business challenges and translate them into data science solutions.
- Present insights, models, and recommendations to senior leadership and client executives.
- 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:
Required Background:
- 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.
- Additional training or certification in cloud computing, software engineering best practices, or data security (desirable).
Required Skills:
- 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.
- Excellent analytical and problem-solving skills; capable of designing and validating algorithms.
- Strong communication skills, stakeholder engagement, and technical reporting.
- Experience with Generative AI Retrieval-Augmented Generation, and cloud deployment.
- Familiarity with financial data structures and API integration (desirable).
Required Attributes:
- 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.
Preferred Experience:
- Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Experience with GenAI / LLMs and NLP applications.
- 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.
Why SBS?
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.
Equal Opportunity Employer
We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.
Lead Data Scientist in London employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving AI/ML models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at SBS.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for 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!
Showcase Your Technical Skills: Don’t hold back on your programming prowess! Mention your experience with Python, Java, or any relevant open-source libraries. We’re keen to know how you’ve applied these skills in real-world scenarios.
Demonstrate Your Leadership Experience: Since this is a senior role, share examples of how you've led teams or projects in the past. We love seeing candidates who can mentor others and drive innovation within their teams.
Engage with Us Online: We encourage you to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you can explore more about our culture and values while you're at it.
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. Be ready to discuss specific models you've developed, especially in areas like fraud detection or customer segmentation. The more you can showcase your technical expertise, the better!
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've led teams or projects in the past, and be ready to discuss how you foster collaboration and high performance.
✨Understand the Business Side
It's not just about the tech! Be prepared to talk about how your data science solutions can drive business value. Think about how you've translated complex data challenges into actionable insights for clients or stakeholders.
✨Engage with Real-World Scenarios
During the interview, expect to tackle real-world problems. Practice articulating your thought process on how you'd approach a specific data challenge, and be ready to discuss the ethical implications of your work, especially in financial services.