Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and grow a Data Science team focused on impactful machine learning solutions.
- Company: Join a dynamic Media Publishing company at the forefront of data innovation.
- Benefits: Enjoy a collaborative Agile work environment with opportunities for professional growth.
- Why this job: Make a real impact in publishing through cutting-edge data science techniques.
- Qualifications: Strong understanding of machine learning, Python, SQL, and applied statistics required.
- Other info: Experience in media or publishing is preferred but not mandatory.
The predicted salary is between 43200 - 72000 £ per year.
Head of Data Science required by a Media Publishing company to head up and grow a Data Science team. The team will be focused on Machine Learning & Statistical Analysis techniques to develop impactful solutions for the business. Initially you will lead a small team of Data Scientists, with strong growth forecast for the coming year. Allied to team growth you will also be responsible for developing Data Science production process within the business, with a view to creating an Agile work environment which can have optimal impact.
Given their nature as a publishing business, experience of applying NLP expertise is of crucial importance to this hire.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, Random Forests, etc.
- Experience with common data science toolkits, such as Python
- Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
It would be desirable for the successful candidate to come from a Media or Publishing background ideally, although we will accept applications from aligned sectors.
Head of Data Science employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network with professionals in the media and publishing industry. Attend relevant conferences or meetups where you can connect with others who work in data science roles, especially those focusing on NLP. This can help you gain insights into the specific challenges and opportunities within the sector.
✨Tip Number 2
Showcase your experience with machine learning techniques by discussing real-world applications you've worked on. Prepare to explain how you've used algorithms like k-NN or Random Forests to solve problems, particularly in a media context, as this will demonstrate your relevance to the role.
✨Tip Number 3
Familiarise yourself with Agile methodologies if you haven't already. Understanding how to implement Agile processes in a data science team will be crucial, so consider brushing up on frameworks like Scrum or Kanban and think about how you can apply them in your leadership style.
✨Tip Number 4
Prepare to discuss your vision for growing a data science team. Think about how you would approach recruitment, training, and fostering a collaborative environment. Being able to articulate a clear strategy for team development will set you apart from other candidates.
We think you need these skills to ace Head of Data Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning techniques and algorithms, as well as your proficiency in Python and SQL. Emphasise any relevant projects or roles that demonstrate your ability to lead a Data Science team.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data science and how your background in media or publishing aligns with the company's goals. Mention specific examples of how you've applied NLP expertise in previous roles.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in machine learning, statistical analysis, and programming. Be specific about the tools and technologies you have used, such as Hadoop or Hive.
Highlight Leadership Experience: Since this role involves leading a team, make sure to highlight any previous leadership or mentoring experience. Discuss how you have successfully managed teams and contributed to their growth and development.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your understanding of machine learning techniques and algorithms in detail. Highlight specific projects where you've applied these skills, especially focusing on NLP, as this is crucial for the role.
✨Demonstrate Leadership Experience
Since you'll be leading a team, share examples of your previous leadership roles. Discuss how you have successfully managed teams, fostered growth, and created an Agile work environment.
✨Familiarise Yourself with the Company’s Focus
Research the media publishing company thoroughly. Understand their products, audience, and how data science can impact their business. Tailor your responses to show how your skills align with their goals.
✨Prepare for Technical Questions
Expect technical questions related to data science toolkits like Python and SQL. Brush up on your knowledge of statistical methods and be ready to solve problems on the spot to demonstrate your analytical thinking.
