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- Tasks: Lead data science projects, design AI systems, and collaborate with a skilled team.
- Company: Join Lloyds Banking Group, a forward-thinking financial services provider.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact in finance by harnessing cutting-edge AI and data science.
- Qualifications: Experience in data science, programming, and a passion for innovation.
- Other info: Dynamic environment with exposure to senior management and career advancement.
The predicted salary is between 89739 - 99710 £ per year.
Salary Range: £89,739 - £99,710
Flexible Working Options: Hybrid Working, Job Share
Location(s): London & Bristol
Hours: Full time
Working Pattern: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.
About this opportunity: At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. We’re evolving, investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA). In this role, you will have an opportunity to perform a hands-on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group.
You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit. The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.
You will have the opportunity to:
- Lead multiple data science and application development projects concurrently with great autonomy.
- Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud-native architectures.
- Ensure solutions are scalable, secure, and production-ready within enterprise frameworks.
- Diagnose complex issues and deliver high-quality technical solutions aligned to best practices and standards.
- Produce specifications, testing approaches, and documentation to support reliable and consistent delivery.
- Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices.
- Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery.
- Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA’s assurance work.
- Communicate technical concepts in plain, simple language that is easy for non-technical stakeholders to understand.
- Answer queries and provide support to end users for existing utilities.
Why Lloyds Banking Group: If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good.
Data Science Manager in London employer: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data science skills and understanding AI applications in finance. We want to show that we’re not just passionate but also knowledgeable about how our expertise can drive innovation at Lloyds.
✨Tip Number 3
Practice common interview questions, especially those related to project management and technical challenges. We need to demonstrate our problem-solving skills and how we can lead projects effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the team at Lloyds Banking Group.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight your experience with AI, ML, and GCP, and don’t forget to showcase any leadership roles you've had. We want to see how you can bring your unique skills to our team!
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 align with our mission at Lloyds Banking Group. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience with data science and application development.
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 the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around AI and ML techniques. Be ready to discuss your experience with GCP and how you've applied data science in real-world scenarios. This will show that you're not just a theorist but someone who can get hands-on.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading projects and teams. Prepare examples of how you've successfully managed stakeholders and led teams in the past. Highlight your experience with agile project management and how you've driven innovation in previous roles.
✨Communicate Clearly
You'll need to explain complex technical concepts to non-technical stakeholders. Practice simplifying your explanations and think of examples where you've done this effectively. Clear communication is key, so make sure you can articulate your thoughts in a straightforward manner.
✨Understand the Company’s Vision
Familiarise yourself with Lloyds Banking Group's mission and values. Think about how your skills and experiences align with their goals, especially in terms of using data science to support their purpose. Showing that you understand and resonate with their vision can set you apart from other candidates.
