Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a talented team of Data Scientists and drive innovative data-driven initiatives.
- Company: Join a forward-thinking company that values creativity and innovation.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Why this job: Make a real impact on how brands connect with their audiences.
- Qualifications: Proven experience in data science and strong leadership skills.
- Other info: Inclusive environment supporting diverse backgrounds and perspectives.
The predicted salary is between 36000 - 60000 £ per year.
We are on the lookout for a dynamic and innovative Data Science Manager to lead a talented team of Data Scientists in London or Reading. Our client’s mission revolves around leveraging primary research and marketing effectiveness solutions to unlock consumer beliefs and behaviours.
What You'll Do:
- Strategic Leadership: Drive the vision and strategy for the data science team, fostering a culture of innovation and collaboration.
- Team Development: Mentor and develop a diverse team of data scientists, empowering them to leverage cutting-edge techniques in machine learning and analytics.
- Cross-Functional Collaboration: Work closely with marketing, product, and research teams to translate data insights into actionable strategies that enhance brand loyalty.
- Insight Generation: Utilise advanced statistical methods and algorithms to uncover deep insights from consumer data, informing marketing effectiveness solutions.
- Technology Evolution: Stay ahead of industry trends, ensuring adoption and integration of the latest technologies and methodologies.
What We’re Looking For:
- Expertise: Proven experience in data science, with a strong portfolio of successful projects and initiatives.
- Leadership Skills: A history of leading high-performing teams and fostering a culture of continuous learning.
- Analytical Mindset: Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.
- Communication Skills: Excellent verbal and written communication skills, capable of translating technical findings into clear narratives for stakeholders.
- Industry Knowledge: Familiarity with marketing analytics, consumer behaviour, and brand management is a plus.
Why Join?
- Innovative Culture: Be part of a forward-thinking company that values creativity and innovation in everything they do.
- Impactful Work: Your contributions will play a crucial role in shaping how brands connect with their audiences, driving meaningful engagement and loyalty.
- Career Growth: Our client believes in investing in our employees' professional development, providing opportunities for learning and advancement.
LHH is an employment consultancy that believes in talent, not labels. It is important to us that we run inclusive recruitment processes to support candidates of all abilities and encourage applicants of all backgrounds and perspectives to apply. LHH is committed to building an inclusive, supportive environment to enable candidates to explore the next steps in their careers. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Science Manager in London employer: LHH
Contact Detail:
LHH 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 your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data science projects. Whether it's a GitHub repository or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Mock interviews with friends or mentors can help you articulate your thought process and demonstrate your analytical mindset effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 reflects the skills and experiences that align with the Data Science Manager role. Highlight your leadership experience and any successful projects you've led, as we want to see how you can drive our team's vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our innovative culture. Be sure to mention your experience in mentoring teams and collaborating across functions.
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical mindset. Provide examples of how you've interpreted complex data sets and derived actionable insights, as this is key for the role we're looking to fill.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at LHH
✨Know Your Data Science Stuff
Make sure you brush up on your data science knowledge, especially around machine learning and analytics. Be ready to discuss your past projects and how you've used advanced statistical methods to generate insights. This will show that you’re not just a leader but also a hands-on expert.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about specific situations where you mentored team members or fostered a culture of innovation. This will demonstrate your ability to drive the vision and strategy for the data science team.
✨Communicate Clearly
Practice translating complex data findings into simple narratives. You’ll need to explain your insights to stakeholders who may not have a technical background, so being able to communicate effectively is key. Consider doing mock interviews with friends to refine this skill.
✨Stay Updated on Industry Trends
Research the latest technologies and methodologies in data science and marketing analytics. Being knowledgeable about current trends will not only impress your interviewers but also show that you’re committed to continuous learning and development in your field.
