At a Glance
- Tasks: Bridge AI initiatives with Data Security, ensuring robust data protection and governance.
- Company: Leading financial services client with a focus on innovation.
- Benefits: Competitive daily rate of £700, largely remote work, and dynamic projects.
- Other info: Initial 6-month contract with potential for growth and ad hoc travel.
- Why this job: Be at the forefront of AI and Data Security, shaping the future of technology.
- Qualifications: Strong background in Data Security and understanding of AI technologies.
The predicted salary is between 63000 - 77000 £ per year.
Largely remote-based, with ad hoc travel to Sheffield.
Initial 6-month contract. Inside IR35. £700 per day.
We’re partnering with a leading financial services client to appoint an AI and Data SME to act as the key bridge between AI initiatives and the Data Security function. The role will provide specialist advice and oversight across emerging AI use cases, ensuring the appropriate data security controls, protections and governance are considered as AI capabilities develop.
Key responsibilities:
- Acting as the primary link between AI initiatives and Data Security, assessing how AI developments could impact the function.
- Working closely with the CTO and wider technology teams on areas including Agentic AI.
- Reviewing AI outcomes and translating their implications into actionable requirements for Data Security teams.
- Defining and embedding appropriate controls around AI use cases and capabilities.
- Supporting capability mapping, identifying emerging patterns, use cases and associated risks.
- Providing advice and guidance to mitigate AI-related data security risks.
- Taking ownership for translating agreed AI outcomes into production-ready controls and processes.
- Working across the wider Data Security landscape, including data protection, data controls, data encryption and database activity monitoring.
We’re looking for someone with a strong Data Security background who also understands AI and can confidently operate across both disciplines, bridging the gap between emerging AI capabilities and enterprise data security requirements. More details available on successful application.
AI and Data SME employer: Talent Smart
As a leading player in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our remote-first approach allows for flexibility, while our Sheffield office provides a vibrant space for teamwork when needed. We prioritise employee growth through continuous learning opportunities and a culture that encourages open communication, making us an ideal employer for those looking to make a meaningful impact in Identity and Access Management.
StudySmarter Expert Advice🤫
We think this is how you could land AI and Data SME
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Talent Smart before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Talent Smart.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Talent Smart.
We think you need these skills to ace AI and Data SME
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Talent Smart, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Talent Smart, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Talent Smart’s attention and show the tangible impact of your work.
How to prepare for a job interview at Talent Smart
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Talent Smart.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Talent Smart.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Talent Smart.
