Senior AI/ML Architect & Data Strategy Lead β€” Hybrid

Senior AI/ML Architect & Data Strategy Lead β€” Hybrid

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
SBS

At a Glance

  • Tasks: Lead the development of advanced AI/ML models and drive data strategy for innovative fintech solutions.
  • Company: Global fintech partner revolutionising banking with cutting-edge AI technology.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team in Greater London with a focus on innovation and collaboration.
  • Why this job: Shape the future of finance with impactful AI solutions and strategic data insights.
  • Qualifications: Proven experience in AI/ML and strong leadership skills in data science.

The predicted salary is between 63000 - 77000 Β£ per year.

SBS is a global fintech partner empowering banks and financial institutions with innovative AI-powered solutions.

We are seeking a Lead/Principal Data Scientist to shape and deliver advanced data science across SBS products and client engagements.

The role blends deep technical leadership with strategic direction, guiding scalable AI/ML models, embedding AI into products, and driving value from data.

Hybrid work in Greater London.

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Senior AI/ML Architect & Data Strategy Lead β€” Hybrid employer: SBS

At SBS, we pride ourselves on being an excellent employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. Our Sheffield/London locations provide unique opportunities for professional growth in the rapidly evolving field of cloud cyber security, with access to ongoing training and development programmes. Join us to make a meaningful impact while enjoying a hybrid work model that promotes work-life balance and employee well-being.

SBS

Contact Details:

SBS Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior AI/ML Architect & Data Strategy Lead β€” Hybrid

✨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 SBS!

✨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 AI/ML Architect & Data Strategy Lead β€” Hybrid at SBS.

✨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 SBS.

✨Apply Directly through Our Website

When you find a suitable opening like Senior AI/ML Architect & Data Strategy Lead β€” Hybrid at SBS, 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 AI/ML Architect & Data Strategy Lead β€” Hybrid

AI/ML Model Development
Data Science
Technical Leadership
Strategic Direction
Scalable AI Solutions
Product Integration
Data Value Extraction

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 SBS, 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 SBS. 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 SBS

✨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 SBS!

✨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.