At a Glance
- Tasks: Lead innovative data strategies and develop cutting-edge products using machine learning.
- Company: A well-known household brand with a mission-driven, customer-centric focus.
- Benefits: Competitive salary, dynamic work environment, and opportunities for team growth.
- Other info: Join a fast-paced team that values creativity and adaptability.
- Why this job: Make a real impact by driving innovation and efficiency in a high-growth setting.
- Qualifications: Experience in data leadership and a strong understanding of AI and machine learning.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
This well-known household brand is looking for an exceptional Head of Applied Research (Data Science) to drive innovation across the business. This role involves developing new ways of working, utilising extensive data, introducing new products, and harnessing the power of machine learning to foster efficiency and delight customers. The organisation is mission-driven with a strong customer-centric focus. You will support this by developing innovative new products and technologies, and fine-tuning data capabilities. You will build a team to provide expertise on the overall data strategy and best practices for a high-growth environment. The ideal candidate will possess deep technical knowledge and impeccable leadership skills, gained in both corporate and high-growth businesses.
Main Responsibilities
- Define and own the overall data strategy, with a constant focus on products and their improvement.
- Own the extraction of data insights to support each department in the company.
- Nurture your team’s growth and development, inspiring them to drive automation efficiency and ensure the success of the operating model transformation.
- Provide leadership on the most effective use of data, both present and future.
- Be responsible for building and owning the overall automation vision to advance algorithmic methods and unlock their business impact.
- Create synergy across the organisation to solve problems and demonstrate research solutions and prototypes, aiming to turn these into products with quantifiable benefits.
- Manage, recruit, and motivate a high-performing team.
Requirements
- Bachelor’s degree with strong academic performance – a PhD is a plus, but not required if experience combined with curiosity/drive compensates.
- Data leadership experience gained in a data-led consumer or service industry.
- Strong capability to implement data-led thinking into all aspects of the organisation.
- Excellent experience and knowledge of AI and machine learning and their ability to deliver significant business benefits. Active interest in learning how the latest innovations can be applied.
- Hands‑on data engineering and analytics background with an innovative and forward‑thinking approach.
- Understanding of how to delve deep into a business model, enable maximised data effectiveness, and align with a company’s mission.
- Proven delivery focus, ensuring the data product is fit‑for‑purpose by working closely with stakeholders, applying a multi‑disciplinary skillset coupled with subject matter expertise.
- Ideally from a background of companies that move fast, change and evolve quickly to meet evolving customer needs.
Head of Applied Research (Data Science/ Machine Learning) – Online Consumer Business employer: The Search Group
This renowned household brand is an exceptional employer, offering a dynamic work culture that prioritises innovation and customer satisfaction. With a strong commitment to employee growth, the company provides ample opportunities for professional development and leadership within a high-growth environment. Located in a vibrant area, employees benefit from a collaborative atmosphere that encourages creativity and the application of cutting-edge data science and machine learning techniques.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Applied Research (Data Science/ Machine Learning) – Online Consumer Business
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We want you to show them you’re not just a fit for the role, but also for their mission-driven environment. Tailor your answers to reflect their values!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. We can’t stress enough how important it is to articulate your experience and showcase your leadership skills confidently.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. And remember, apply through our website for the best chance!
We think you need these skills to ace Head of Applied Research (Data Science/ Machine Learning) – Online Consumer Business
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Applied Research. Highlight your data leadership experience and any innovative projects you've led. We want to see how your skills align with our mission-driven approach!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for data science and machine learning. Share specific examples of how you've driven innovation in previous roles, and don’t forget to mention why you’re excited about this opportunity with us.
Showcase Your Team Leadership Skills:We’re looking for someone who can inspire and nurture a high-performing team. In your application, be sure to include examples of how you've developed talent and fostered a collaborative environment. We love seeing leaders in action!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at The Search Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data science and machine learning. Brush up on your knowledge of AI applications and be ready to discuss how they can drive innovation in the company’s products.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in building and nurturing high-performing teams. Be ready to discuss how you’ve inspired your team to embrace automation and efficiency, as this role requires strong leadership in a fast-paced environment.
✨Align with Their Mission
Understand the company’s mission and customer-centric focus. Think about how your previous experiences align with their goals and be prepared to share specific instances where you’ve successfully implemented data-led strategies that improved customer satisfaction.
✨Prepare for Problem-Solving Scenarios
Expect to tackle hypothetical scenarios during the interview. Practice articulating your thought process on how to solve complex data challenges and turn research solutions into tangible products that deliver quantifiable benefits.
