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- Tasks: Lead a talented team to deliver high-impact data solutions for major clients.
- Company: Rapidly scaling European tech organisation with a focus on cloud and data programmes.
- Benefits: Competitive salary, flexible working, strong learning culture, and clear progression routes.
- Why this job: Shape the future of data use in a dynamic, high-growth environment.
- Qualifications: Strong experience in data-driven solutions and confident leadership skills.
- Other info: Hybrid setup with opportunities for significant career advancement.
The predicted salary is between 72000 - 84000 £ per year.
I’m working with a rapidly scaling European tech organisation that’s delivering major cloud, data and digital programmes for household-name enterprise clients. They’re now looking for a Lead Data Scientist to take the reins on a flagship London engagement - and the scope here is huge.
If you’re someone who loves stepping into a role where you can set direction, elevate standards, and actually shape how data gets used across a business, this one’s going to grab you.
Why this role stands out- You’ll be the senior voice for Data Science on a major transformation programme.
- You’ll lead a talented, multi-location team and define how they deliver.
- You’ll work directly with senior decision-makers - your ideas won’t sit on a shelf.
- The work is varied, complex, and genuinely business-critical.
- The company is growing fast, creating real headroom for your own progression.
- Hybrid setup: 3 days a week in London with the client.
- Strong experience shipping data-driven or analytical solutions into production.
- Confident leadership of Data Science teams - setting standards, reviewing work, driving quality.
- Someone who can turn complexity into clarity and win trust with senior stakeholders.
- A solid understanding of modelling approaches and how to deliver them properly.
- Experience working in structured, quality-driven environments.
- Full-cycle delivery of high-value data solutions used across the business.
- Establishing delivery frameworks, governance, and best practice for the discipline.
- Partnering with senior leaders to define priorities and shape delivery strategy.
- Developing Data Scientists and levelling up the team’s capability.
- Ensuring consistency of approach across international teams.
- Postgrad in a relevant field
- Consulting / professional services background
- Experience in regulated or operationally complex environments
- Interest in responsible, well-governed use of data
- Seriously impressive growth trajectory
- Big-picture influence without losing hands-on depth
- Strong L&D culture and clear progression routes
- Competitive salary + flexibility + a genuinely supportive environment
Lead Data Scientist / Tech Scale Up / £120,000 in City of London employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist / Tech Scale Up / £120,000 in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. We recommend diving deep into their recent achievements and challenges. This way, you can showcase how your skills align with their needs and demonstrate your genuine interest.
✨Tip Number 3
Practice your pitch! You want to be able to clearly articulate your experience and how it relates to the Lead Data Scientist role. We suggest rehearsing with friends or using mock interviews to build confidence and refine your delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals who can make an impact, so don’t hesitate to put yourself out there!
We think you need these skills to ace Lead Data Scientist / Tech Scale Up / £120,000 in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Scientist. Highlight your experience with data-driven solutions and leadership in Data Science teams. We want to see how you can elevate standards and shape data usage!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills align with the company's goals. Show us that you can turn complexity into clarity and win trust with senior stakeholders.
Showcase Relevant Experience: When detailing your experience, focus on projects where you've delivered high-value data solutions. We love seeing examples of how you've established delivery frameworks and partnered with senior leaders to shape strategy.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can't wait to see what you bring to the table!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Data Inside Out
Make sure you’re well-versed in the data-driven solutions you've worked on. Be ready to discuss specific projects, the challenges you faced, and how you overcame them. This will show your depth of knowledge and ability to deliver results.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading Data Science teams. Talk about how you set standards, reviewed work, and drove quality. This is crucial as the role requires confident leadership, so make it clear how you can elevate team performance.
✨Communicate Complex Ideas Simply
Practice explaining complex modelling approaches in a straightforward manner. You’ll need to win trust with senior stakeholders, so being able to turn complexity into clarity is key. Use analogies or simple terms to demonstrate your understanding.
✨Understand the Business Impact
Research the company’s major cloud and data programmes. Be prepared to discuss how your work can directly impact their business goals. Showing that you understand the bigger picture will set you apart from other candidates.
