Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data projects, mentor teams, and deliver impactful presentations.
- Company: Join a boutique consultancy focused on shopper insights and advanced analytics.
- Benefits: Enjoy flexible working, a friendly team culture, and career support.
- Why this job: Be part of a collaborative environment that values creativity and innovation.
- Qualifications: Experience in data science, Python, SQL, and AI model deployment required.
- Other info: This role offers a competitive salary of up to £60k in London.
The predicted salary is between 43200 - 72000 £ per year.
Are you a people driven Data Lead who is looking for a company with a friendly team culture? Then you could be the perfect fit for a boutique agency in this flexible working Data Lead role!
Salary: Up to £60k
Location: London
The Company: This boutique consultancy specialises in shopper insights, combining expert knowledge, market data, and trend analysis. They support a high-profile client base with both syndicated products and bespoke research projects. The insight team has adopted new data visualisation tools to deliver more advanced analytics and creative outputs. With a strong emphasis on team fit and culture, they offer a supportive and collaborative working environment.
Main Responsibilities:
- Communicating and delivering presentations, representing the insight team at internal events and being an ambassador for the brand.
- Manage and oversee client or syndicated projects from proposal stage, through to client management and delivery.
- Plan and manage team capacity, matching tasks to capacity, availability, and capability/areas of expertise.
Skills & Experience:
- Delivered applied data science projects end-to-end; clearly communicated vision across stakeholders and product functions.
- Provided team mentorship, constructive feedback, and career support; led fine-tuning and deployment of AI models.
- Proficient in Python, SQL, ETL, and cloud; deployed LLMs with vector search at production scale.
Interested in this Data Lead role? Apply now and let's have a chat!
We Are Aspire Ltd are a committed employer.
Data Lead employer: We Are Aspire
Contact Detail:
We Are Aspire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead
✨Tip Number 1
Make sure to showcase your people skills during the interview. Since this role emphasises team culture, be prepared to discuss how you've successfully collaborated with others and mentored team members in previous positions.
✨Tip Number 2
Familiarise yourself with the latest data visualisation tools and be ready to discuss how you've used them in past projects. This will demonstrate your adaptability and commitment to delivering advanced analytics.
✨Tip Number 3
Prepare examples of how you've managed client projects from start to finish. Highlight your ability to communicate effectively with stakeholders and ensure that you can articulate your project management skills clearly.
✨Tip Number 4
Research the company’s high-profile clients and their specific needs. Being knowledgeable about their industry will help you tailor your responses and show that you're genuinely interested in contributing to their success.
We think you need these skills to ace Data Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the Data Lead position. Tailor your application to highlight your experience in managing data science projects and team mentorship.
Craft a Tailored CV: Your CV should reflect your proficiency in Python, SQL, ETL, and cloud technologies. Include specific examples of projects where you've delivered applied data science solutions and communicated effectively with stakeholders.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the company’s culture and how you align with their values. Mention your experience in leading teams and delivering presentations, as well as your ability to manage client projects from start to finish.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is crucial for a Data Lead role.
How to prepare for a job interview at We Are Aspire
✨Showcase Your People Skills
As a Data Lead, you'll be working closely with your team and clients. Make sure to highlight your experience in mentoring and providing constructive feedback during the interview. Share specific examples of how you've successfully communicated complex data insights to non-technical stakeholders.
✨Demonstrate Your Technical Expertise
Be prepared to discuss your proficiency in Python, SQL, ETL, and cloud technologies. Bring examples of past projects where you deployed AI models or worked with data visualisation tools. This will show that you not only understand the technical side but can also apply it effectively.
✨Emphasise Team Fit and Culture
This company values a friendly team culture, so make sure to express your enthusiasm for collaboration and teamwork. Discuss how you’ve contributed to a positive work environment in previous roles and how you plan to do the same in this position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage projects. Think about scenarios where you had to balance team capacity with project demands, and be ready to explain your thought process and decision-making strategies.
