At a Glance
- Tasks: Lead the design and delivery of advanced AI/ML solutions for impactful projects.
- Company: Join a global fintech leader transforming the banking industry.
- Benefits: Enjoy flexible work, competitive pay, health coverage, and career development.
- Other info: Collaborative environment with opportunities for mentorship and growth.
- Why this job: Shape the future of finance with cutting-edge technology and innovative solutions.
- Qualifications: Advanced degree in Data Science or related field; strong AI/ML expertise required.
The predicted salary is between 70000 - 90000 £ 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 - Full Time in London employer: SBS
Contact Detail:
SBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Full Time in London
✨Tip Number 1
Network like a pro! Reach out to current employees at SBS on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving AI/ML. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. 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 noticed. 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 - Full Time 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 and how you can contribute to our team at SBS. Be sure to mention specific projects or experiences that relate to the job.
Showcase Your Technical Skills: Don’t forget to highlight your programming skills and experience with AI technologies in your application. We’re looking for someone who can hit the ground running, so make it clear how you meet the technical requirements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about 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. Be ready to discuss specific models you've developed, especially in areas like fraud detection or credit risk modelling. They’ll want to see your technical expertise, so prepare examples that showcase your skills.
✨Showcase Your Leadership Skills
Since this is a senior role, be prepared to talk about your experience leading teams and mentoring others. Think of instances where you’ve influenced product innovation or set best practices. Highlight how you foster collaboration and drive high performance within your team.
✨Understand the Business Context
Get familiar with the financial services landscape and how data science can solve real business challenges. Be ready to discuss how you can align AI solutions with business objectives and enhance client outcomes. This shows you’re not just a techie but also a strategic thinker.
✨Prepare for Ethical Discussions
With the focus on ethical AI usage and data governance, be ready to discuss your views on these topics. Have examples of how you’ve ensured compliance with regulations like GDPR in your past projects. This will demonstrate your commitment to responsible data science practices.