At a Glance
- Tasks: Lead a data science team to drive data-driven decisions and insights.
- Company: Join a top UK EdTech company transforming education with innovative tech.
- Benefits: Enjoy fully remote work, a collaborative culture, and competitive salary.
- Other info: Ideal for those passionate about EdTech and advancing educational outcomes.
- Why this job: Be part of a mission to enhance learning experiences using AI and data.
- Qualifications: 5+ years in data science, team management, and expertise in analytics tools required.
The predicted salary is between 64000 - 96000 € per year.
Head of Data Science & Analytics
£80,000 - £90,000 per annum
Fully Remote
My client is a leading EdTech business in the UK that empowers educators to create interactive and customizable teaching materials in minutes, turning static lessons into dynamic, student-centred learning experiences. With millions of active users across the globe, strong organic growth and a beloved product by teachers, the company is entering an exciting new chapter as they drive innovation through emerging technologies such as AI to build an even more powerful product.
The Head of Data Science & Analytics will build and lead the team that powers data driven decision making across the business. The role will be responsible for establishing best in class data practices and analysis, improving data accessibility and enabling every business function to leverage insights for smarter decision making.
Day to day you will be responsible for leading the delivery of high quality analysis that drives strategic and operational decisions; develop frameworks for tracking performance measuring outcomes and running testing; translating complex data in clear and actionable insights. You\'ll be supporting product innovation by exploring and implementing new AI/ML approaches. You\'ll establish and scale best practice for making data accessible, reliable and actionable as well as expand the use of self service analytics, ensure data and insights are available to inform strategic and operational decisions. You will also lead and mentor a high performing data analytics team.
- The successful candidate will have at least 5 years experience in data science and analytics and will have had some previous experience managing a team.
- Proven expertise in applied data analysis and a deep understanding of experimentation, statistical modelling, and advanced analytics.
- Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment.
- Proficiency in Python, SQL, modern data science tools/platforms and BI tools.
- Experience enabling data accessibility and self service analytics at scale.
Ideally you\'ll have a background in SaaS, EdTech or a similar industry along with experience of integrating advances analytics or AI/ML into customer facing products. This is an fantastic opportunity to join a market leader in the field of EdTech using the most advanced technology for their continued product innovation. The role is fully remote but the team are highly collaborative and inclusive and are looking for someone with as much passion as them for delivering the best product possible.
Head of Data Science & Analytics in Watford employer: Millfield Recruitment Group
As a leading EdTech business, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. With a fully remote setup, we offer flexibility alongside opportunities for professional growth in a rapidly evolving industry, ensuring that our team members can thrive while contributing to meaningful educational advancements. Join us to be part of a passionate team dedicated to transforming learning experiences through cutting-edge technology.
Contact Detail:
Millfield Recruitment Group Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & Analytics in Watford
✨Tip Number 1
Network with professionals in the EdTech and data science fields. Attend relevant webinars, conferences, or meetups to connect with industry leaders and potential colleagues. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing teams or projects. Prepare examples of how you've successfully led data-driven initiatives that resulted in significant business outcomes.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to EdTech. Being able to discuss current innovations and how they can be applied to enhance educational products will set you apart.
✨Tip Number 4
Prepare to discuss your hands-on experience with MLOps and cloud environments like AWS or Azure. Be ready to explain how you've implemented these technologies in past roles to improve data accessibility and analytics.
We think you need these skills to ace Head of Data Science & Analytics in Watford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science and analytics, particularly any leadership roles. Emphasise your hands-on experience with MLOps, cloud environments, and proficiency in Python and SQL.
Craft a Compelling Cover Letter:In your cover letter, express your passion for EdTech and how your background aligns with the company's mission. Mention specific examples of how you've driven data-driven decision making and improved data accessibility in previous roles.
Showcase Your Achievements:Include quantifiable achievements in your application. For instance, describe how your data analysis led to significant improvements in performance or decision-making processes in past positions.
Highlight Team Leadership Experience:Since the role involves leading a high-performing team, be sure to detail your experience in managing teams. Discuss your mentoring style and how you've fostered collaboration and innovation within your teams.
How to prepare for a job interview at Millfield Recruitment Group
✨Showcase Your Leadership Skills
As a Head of Data Science & Analytics, you'll be leading a team. Be prepared to discuss your previous leadership experiences, how you motivate your team, and the strategies you use to foster collaboration and innovation.
✨Demonstrate Technical Proficiency
Make sure to highlight your hands-on experience with MLOps, cloud environments like AWS or Azure, and your proficiency in Python and SQL. Be ready to discuss specific projects where you've applied these skills effectively.
✨Discuss Data Accessibility Initiatives
Since the role involves improving data accessibility, come prepared with examples of how you've enabled self-service analytics in past roles. Discuss the impact this had on decision-making processes within the organisation.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach translating complex data into actionable insights and how you would measure the success of your initiatives.
