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- Tasks: Lead a team of data scientists to develop advanced models for fraud detection and performance insights.
- Company: Join a growing AdTech/SaaS company focused on data excellence and innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and a 4-day work week.
- Why this job: Shape the future of data science in a collaborative environment with impactful projects.
- Qualifications: Ph.D. or Master’s in relevant fields; strong experience in data science leadership and machine learning.
- Other info: Opportunity to mentor and influence a dynamic team while staying ahead of industry trends.
The predicted salary is between 72000 - 108000 £ per year.
This range is provided by Creo Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Head of Data Science – AdTech/SaaS/Fraud or Anomaly Detection
Job Summary :
We seek an experienced and visionary Head of Data Science to join our growing team. In this role, you will bring thought leadership and promote a culture of data excellence by leveraging our data assets to develop advanced data models for identifying fraudulent behaviour and surfacing performance insights within our clients\’ advertising campaigns.
You will communicate and educate the organisation on all things data and data science so you must have a desire to present, collaborate and coach non-technical organisational team members. You will have strong experience in machine learning applications in highly scalable transactional systems and oversight of their implementation and delivery into client-facing applications. You will have extensive experience in creating and promoting a collaborative culture of data-driven decisions, leading by example a team of data scientists & data analysts.
Key Responsibilities :
- Lead and mentor a growing team of data scientists and analysts, providing technical guidance and career development support.
- Hire, mentor and manage a data science and data analyst team to ensure we have a clear vision of its data and how to maximise its usage.
- Lead complex data science projects, offering guidance on model development, deployment, and optimisation.
- Establish best practices in machine learning, statistical analysis, and model governance.
- Responsible for the design and performance of our algorithmic approaches.
- Design and implement advanced statistical models and machine learning algorithms to solve complex problems.
- Collaborate with the wider Product and Technology teams and broader internal stakeholders across the business to understand market issues and identify opportunities where data science can deliver business value.
- Oversee the development and deployment of scalable data models.
- Monitor and evaluate the performance of our machine-learning models.
- Develop frameworks to assess and mitigate risks associated with data biases, model inaccuracies, and operational failures.
- Stay at the forefront of industry trends and machine learning technologies.
- Communicate insights and progress to non-technical stakeholders in a clear and actionable manner.
Requirements :
- Substantial experience in data science, with experience in a leadership or management role.
- Experience understanding key stakeholder needs and leveraging our core data assets to solve business problems across internal and external use cases.
- Proven track record of delivering data-driven solutions from conception to delivery.
- Ph.D. or Master’s Degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Engineering, or Data Science).
- Experience in aligning data science initiatives with business goals and prioritising impactful projects.
- Platform-agnostic approach to machine learning technologies.
- Proficiency in Python.
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
- Strong knowledge of data engineering tools and technologies (e.g., Spark, Hadoop, SQL).
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Understanding of industry regulations, compliance, and ethical considerations (e.g., GDPR, HIPAA, data ethics).
- Exceptional communication and presentation skills, with the ability to influence stakeholders.
- Experience building dashboards and insights using BI tools such as Tableau or Quicksight.
- Experience in designing team goals and workstreams and aligning them with organisational objectives.
Why Join Us?
- Be part of a growing, innovative company with a dynamic and collaborative team.
- Opportunity to shape and influence the people function in a scaling organisation.
- Competitive salary and benefits package, including flexible working options.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Advertising Services and Data Infrastructure and Analytics
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Head of Data Science employer: Creo Recruitment
Contact Detail:
Creo Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Make sure to showcase your leadership experience in data science. Highlight specific instances where you've successfully led teams or projects, as this role emphasizes mentoring and guiding a growing team.
✨Tip Number 2
Familiarize yourself with the latest trends in machine learning and data science. Being able to discuss current technologies and methodologies will demonstrate your commitment to staying at the forefront of the industry.
✨Tip Number 3
Prepare to discuss how you've aligned data science initiatives with business goals in previous roles. This will show that you understand the importance of delivering impactful solutions that drive business value.
✨Tip Number 4
Practice your communication skills, especially in explaining complex data concepts to non-technical stakeholders. This is crucial for the role, as you'll need to effectively convey insights and progress across the organization.
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 substantial experience in data science and leadership roles. Emphasize your proficiency in Python and machine learning frameworks, as well as your ability to deliver data-driven solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and your vision for leading a team. Mention specific projects where you've successfully implemented machine learning models and how you can contribute to the company's goals.
Showcase Communication Skills: Since the role requires exceptional communication skills, provide examples of how you've effectively communicated complex data insights to non-technical stakeholders in previous positions.
Highlight Collaborative Experience: Demonstrate your experience in collaborating with cross-functional teams. Discuss how you've worked with product and technology teams to align data science initiatives with business objectives.
How to prepare for a job interview at Creo Recruitment
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll be expected to lead and mentor a team. Be prepared to discuss your previous leadership experiences, how you've guided teams, and the impact of your mentorship on their growth.
✨Demonstrate Technical Expertise
Make sure to highlight your proficiency in machine learning frameworks and data engineering tools. Be ready to discuss specific projects where you implemented advanced statistical models or machine learning algorithms.
✨Communicate Clearly with Non-Technical Stakeholders
Since part of your role involves educating non-technical team members, practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated insights to stakeholders in the past.
✨Align Data Science with Business Goals
Be ready to discuss how you've previously aligned data science initiatives with business objectives. Share examples of impactful projects you've prioritized and the results they achieved for the organization.
