At a Glance
- Tasks: Lead a top-tier data science team and drive innovative predictive modelling projects.
- Company: Join a prestigious FTSE 100 company with a strong focus on data-driven decision making.
- Benefits: Competitive salary, executive-level exposure, and opportunities for professional growth.
- Other info: Collaborate with PhD-level talent in a dynamic and innovative environment.
- Why this job: Make a significant impact at the board level while shaping the future of data science.
- Qualifications: Proven experience in data science leadership and strong communication skills.
The predicted salary is between 72000 - 108000 £ per year.
A Head of Data Science is the next key strategic hire for a rapid growth startup company in the retail industry with a global reach.
They have grown from 2 people to 30 people in 2 and a half years, and have seen strong revenue growth! The company are cash rich, but data strategy poor.
What’s great about this Head of Data Science role
- You get the opportunity to develop a data science platform and a team from scratch (immediate need to hire further data scientists when you join)
- The company is rich in untapped customer data offering huge opportunities to create value
- You will work closely with world class engineers to develop a new data warehouse
- Budget and bandwidth available to develop new products and services utilise the best commercial software
- Working directly with the CMO, and also the founder of the business (an MIT grad!)
- You will need to be a top class Statistician
- You will likely have done a very numerate degree or master. You may even have a Quantitative PhD
- You will have experience of working with large customer databases & datasets, and be able to give examples of the business value you have created from them
- You will have experience of coding & software development
- You must be excited by the opportunity to build a data science capability from scratch, and someone who is very ambitious to reach the top of their field.
- You will be a strong communicator at all business level / strong commercial acumen
You may not be at that point yet, but this Head of Data Science role can offer the right candidate the chance to develop their career and reach a point where they are seen as a top performer & international expert in their field.
The Head of Data Science will join a company that is growing rapidly, and is already generating huge profits despite not having even reached series B funding. They may not even need it.
Head of Data Science employer: Wyatt Partners
As a leading global Analytics company, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. With a strong focus on professional development, we offer numerous growth opportunities for our team members, particularly in the vibrant FMCG and Retail sectors. Our competitive salary package, including bonuses and car allowances, reflects our commitment to attracting top talent and ensuring a rewarding career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those who might know someone at the company you're eyeing. A friendly chat can sometimes open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company's data strategies. Understand their challenges and think about how your experience can help them tackle disruption. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you note. It keeps you on their radar and shows your enthusiasm for the role. Plus, it’s a nice touch that can set you apart.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your experience in predictive modelling and team leadership, especially if you've worked with PhD-level talent. Tailor it to showcase how you can build structure and drive results in a data science team.
Nail the Cover Note:This is your chance to show off your personality and passion for the role. Explain why you're the perfect fit for the Head of Data Science position and how your creative thinking can contribute to the company's objectives. Keep it concise but impactful!
Showcase Your Communication Skills:Since you'll be presenting at Board level, it's crucial to demonstrate your communication prowess. Use clear, professional language in your application, and consider including examples of past presentations or reports that highlight your ability to convey complex ideas simply.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Wyatt Partners
✨Know Your Data Inside Out
As a Head of Data Science, you’ll need to demonstrate your expertise in predictive modelling and data analytics. Brush up on your past projects and be ready to discuss specific examples where your work has led to tangible business outcomes.
✨Showcase Your Leadership Skills
You’ll be leading a team of talented data scientists, so it’s crucial to highlight your experience in building and managing teams. Prepare anecdotes that showcase your ability to mentor, inspire, and drive results within a diverse group.
✨Communicate Like a Pro
Since you’ll be presenting to the Board, practice articulating complex data concepts in a clear and engaging manner. Use visuals or analogies to make your points relatable, and be prepared to answer questions from non-technical stakeholders.
✨Think Strategically
The role requires a creative thinker who can quickly move from conception to execution. Be ready to discuss how you’ve approached strategic planning in the past, particularly in terms of budget management and organisational competency.
