At a Glance
- Tasks: Lead AI innovation and develop transformative data solutions for a major bank.
- Company: Join one of the region's biggest banks in a high-impact role.
- Benefits: Competitive salary, leadership opportunities, and a chance to shape AI strategy.
- Other info: Dynamic environment with opportunities for innovation and growth.
- Why this job: Make a real impact by driving AI solutions across multiple business units.
- Qualifications: 10+ years in data science with strong leadership and technical skills.
The predicted salary is between 120000 - 180000 £ per year.
About the Role
We're hiring a SVP of Data Science & Machine Learning to lead the AI and data innovation strategy within a high-impact, enterprise-level AI Innovation Hub for one of the region’s biggest banks. This is a senior leadership opportunity where you'll shape and deliver transformative AI solutions across multiple business units.
What You’ll Be Doing
- Lead the Data Science vertical for a large-scale AI Innovation Hub
- Build and mentor multidisciplinary teams of data scientists and ML experts
- Develop and deploy AI use cases that solve real commercial problems
- Design and implement scalable machine learning, NLP, and deep learning models
- Work cross-functionally with product, tech, and business stakeholders to drive data-first decision making
- Build data pipelines, predictive models, and advanced analytics frameworks to accelerate data maturity
- Own the AI roadmap, aligning with business KPIs and long-term growth
- Drive innovation and experimentation using emerging AI technologies, including Generative AI
What We're Looking For
- 10+ years of data science experience, with 5+ years in a leadership capacity
- Proven ability to manage complex, multidimensional teams in fast-paced environments
- Deep technical understanding of AI, machine learning, deep learning, and LLMs
- Strong track record of guiding AI strategy and deploying models at scale
- Exceptional communication and stakeholder alignment skills
- Master’s or PhD in Data Science, Computer Science, or related field with a strong AI focus
SVP of Data Science & Machine Learning employer: Discovered MENA
Join one of the region’s largest banks as the SVP of Data Science & Machine Learning, where you will lead a dynamic AI Innovation Hub dedicated to transforming business through cutting-edge technology. Our collaborative work culture fosters innovation and creativity, providing ample opportunities for professional growth and mentorship within multidisciplinary teams. With a commitment to employee development and a focus on impactful projects, this role offers a unique chance to shape the future of banking through AI solutions that drive real commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land SVP of Data Science & Machine Learning
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and AI fields. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, it’s all about who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects, especially those involving AI and machine learning. Use platforms like GitHub to share your code and demonstrate your skills to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've led teams and delivered impactful AI solutions. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Keep an eye on our job postings and make sure your application stands out!
We think you need these skills to ace SVP of Data Science & Machine Learning
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences that align with the SVP of Data Science & Machine Learning role. Highlight your leadership experience and any relevant AI projects you've led, as we want to see how you can drive innovation.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your vision for AI in banking and how your background equips you to lead our Data Science vertical. Be authentic and let your passion shine through!
Showcase Your Achievements:When detailing your experience, focus on quantifiable achievements. We love numbers! Whether it’s improving model accuracy or leading a successful project, show us how you've made an impact in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Discovered MENA
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, machine learning, and deep learning. Be ready to discuss specific projects you've led or contributed to, especially those that align with the bank's goals. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Leadership Skills
As a senior leader, you'll need to demonstrate your ability to manage and mentor teams. Prepare examples of how you've built and guided multidisciplinary teams in the past. Highlight your approach to fostering collaboration and innovation within your teams.
✨Align with Business Goals
Understand the bank's business objectives and think about how your AI strategies can support them. Be ready to discuss how you've previously aligned AI initiatives with business KPIs and long-term growth. This will show that you can think strategically and drive results.
✨Communicate Effectively
Exceptional communication is key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to work cross-functionally with various stakeholders. Being able to bridge the gap between tech and business will set you apart.
