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- Tasks: Lead the Data Science & Research department, shaping innovative strategies and overseeing project execution.
- Company: Join a disruptive financial services SaaS company in Manchester, focused on cutting-edge technology and innovation.
- Benefits: Enjoy flexible remote work options and a vibrant city centre office environment.
- Why this job: Be at the forefront of innovation, driving advanced analytics and AI to solve real-world problems.
- Qualifications: Proven experience in leading data science teams and developing scalable data architectures is essential.
- Other info: Mirai values diversity and encourages applications from all backgrounds to foster an inclusive workplace.
The predicted salary is between 48000 - 84000 ÂŁ per year.
Direct message the job poster from Mirai Talent
Head of Data Science & Research
Location: Manchester (2 days a week in City Centre, flexible remote)
A disruptive financial services SaaS company based in Manchester, leading the industry with cutting-edge technology and a passionate focus on innovation are hiring for a brand new role. You\’d be working closely with their well-established Data and Analytics department which spans data science, engineering, and analytics, serving as the engine of their strategic advantage.
As they embark on an exciting new phase of growth, they are establishing a dedicated Research and Data Science department to fuel their innovation pipeline.
As the Head of Data Science & Research you will lead this function, designing and executing the research strategy that will shape their future offerings.
Key Responsibilities:
- Strategic Roadmapping: Lead the design, architecture, and development of the research and data science function, including infrastructure, tools, and methodologies.
- Team Leadership: Build, develop, and mentor a high-performing team of data scientists and data engineers, fostering a culture of innovation and excellence.
- Research Leadership: Define the research agenda, focusing on experimental and hypothesis-driven approaches, developing rigorous methodologies to test commercial hypotheses in simulation environments, and rolling out proof-of-concept solutions.
- Cross-Functional Collaboration: Work closely with the CTO, data leaders, and business stakeholders to align research efforts with business objectives and ensure commercial impact.
- Innovation & Experimentation: Drive the application of advanced analytics, machine learning, and AI to solve complex industry problems, delivering tangible value.
- Project Execution: Oversee the end-to-end delivery of research initiatives from concept to implementation.
Ideal Candidate Profile:
- Proven experience in leading research-oriented data science teams within a commercial setting.
- Demonstrable success in formulating hypotheses, developing testing frameworks, and validating ideas through simulations or pilot projects.
- Strong background in designing scalable data architectures, data pipelines, and experimentation environments.
- Excellent leadership skills with a track record of hiring, developing, and inspiring talented data teams.
- Strategic thinker with the ability to balance innovative research with business deliverables.
- Strong collaboration skills, capable of working closely with technical and non-technical stakeholders.
This is a unique opportunity in the North. Get in touch now to discuss!
Mirai believes in the power of diversity and the importance of an inclusive culture. It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners’ teams. This is just one of the ways they’re taking positive action to shape a collaborative and diverse future in the workplace.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
Computer Games and Financial Services
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Head of Data Science employer: Mirai Talent
Contact Detail:
Mirai Talent 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 data science field, especially those who have experience in financial services. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends that could be relevant to your role.
✨Tip Number 2
Familiarise yourself with the specific technologies and methodologies mentioned in the job description. This could include advanced analytics, machine learning, and AI applications. Being well-versed in these areas will help you demonstrate your expertise during discussions.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully built and mentored teams in the past. Highlight specific examples where your guidance led to innovation or improved performance within a data science context.
✨Tip Number 4
Research the company’s current projects and initiatives in data science and analytics. Understanding their strategic goals will allow you to align your vision for the research agenda with their business objectives, showcasing your ability to contribute from day one.
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 in leading data science teams and your success in formulating hypotheses and developing testing frameworks. Use specific examples that demonstrate your leadership skills and strategic thinking.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and how your background aligns with the company's goals. Mention your experience with advanced analytics, machine learning, and AI, and how you can drive value in their research initiatives.
Showcase Relevant Projects: Include details of relevant projects you've led or contributed to, especially those involving experimental and hypothesis-driven approaches. Highlight any successful proof-of-concept solutions you've rolled out in previous roles.
Highlight Collaboration Skills: Emphasise your ability to work closely with both technical and non-technical stakeholders. Provide examples of how you've successfully collaborated with cross-functional teams to align research efforts with business objectives.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Leadership Skills
As the Head of Data Science, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully built and developed high-performing teams in the past, focusing on fostering innovation and excellence.
✨Align with Business Objectives
Understand the company's strategic goals and be ready to discuss how your research agenda can align with these objectives. Highlight your experience in collaborating with cross-functional teams to ensure that data science initiatives deliver commercial impact.
✨Demonstrate Technical Expertise
Be prepared to discuss your technical background in data architectures, pipelines, and experimentation environments. Share specific examples of how you've applied advanced analytics, machine learning, or AI to solve complex problems in previous roles.
✨Prepare for Hypothesis-Driven Discussions
Since the role involves defining research agendas based on experimental approaches, come equipped with examples of hypotheses you've formulated and tested. Discuss the methodologies you used and the outcomes of those experiments to showcase your analytical thinking.
