At a Glance
- Tasks: Lead delivery of AI-powered products and drive multiple initiatives.
- Company: Fast-growing, AI-native consultancy with a modern product engineering focus.
- Benefits: Competitive day rate, flexible contract, and dynamic work environment.
- Other info: Ideal for those passionate about AI and high-growth tech environments.
- Why this job: Shape the future of product delivery in an innovative tech space.
- Qualifications: Experience in software delivery and strong agile skills required.
The predicted salary is between 63000 - 77000 £ per year.
We're supporting a fast-growing, AI-native consultancy that's building a modern product engineering function from the ground up. This isn't a traditional Delivery Manager role. You'll join a small, high-calibre Product & Engineering team building AI-powered internal and client-facing products. They're looking for someone who can bring clarity to ambiguity, keep multiple workstreams moving, and help shape how the team operates as they scale. If you're someone who enjoys building process rather than policing it, you'll fit right in.
Day Rate: £Competitive
Contract: Initial 6 months
Location: Mayfair, London (3–4 days per week)
Start: ASAP (happy to wait a couple of weeks for the right person)
- Drive delivery across multiple product initiatives
- Own delivery reporting, milestones and risk management
- Facilitate agile ceremonies and continuously improve ways of working
- Help a growing engineering team ship software faster without introducing unnecessary bureaucracy
Experience delivering software products within Product & Engineering teams. Strong agile experience in modern product environments. Bonus if you've worked around AI, developer tooling or engineering platforms. This role will suit people who've worked in AI, B2B SaaS, FinTech or other high-growth technology businesses.
Data Management - Team Leader Data Management - Team Leader in London employer: TRG
Join a dynamic and innovative AI-native SaaS platform in London, where as a Senior Rust Engineer, you'll enjoy a flexible, people-first culture that prioritises your well-being and professional growth. With opportunities to work on cutting-edge technology and take full ownership of your projects, you will be part of a lean team that values speed, decisiveness, and collaboration. Benefit from stock options, private medical insurance, and a supportive environment that encourages the use of leading AI tools in your daily workflow.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management - Team Leader Data Management - Team Leader in London
✨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 TRG 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 TRG.
✨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 TRG.
We think you need these skills to ace Data Management - Team Leader Data Management - Team Leader in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at TRG, 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 TRG, 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 TRG’s attention and show the tangible impact of your work.
How to prepare for a job interview at TRG
✨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 TRG.
✨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 TRG.
✨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 TRG.
