At a Glance
- Tasks: Lead a dynamic Data Insights Team and shape our data strategy.
- Company: Join a charitable organisation making a real impact in mental health.
- Benefits: Enjoy 25 days annual leave, private health insurance, and a pension scheme.
- Why this job: Drive innovation in AI and data science while influencing mental health policy.
- Qualifications: Strong leadership in data science and experience in mental health required.
- Other info: Hybrid work model with excellent career growth opportunities.
The predicted salary is between 75000 - 90000 £ per year.
Reporting To: Chief Executive Officer
Location: Hybrid, working from home and our office based in West London
We aim to be transparent about remuneration at MHI. As a charitable organisation, salaries for this role are predetermined and not negotiable. Please consider the advertised salary before applying.
Hours of Work: 40 hours per week, inclusive of a daily 1 hour paid lunch break
Contract: Permanent
25 days annual leave per year, plus public holidays; Company electronic devices; Enhanced salary sacrifice pension scheme; Private health insurance after completion of probation; Eligibility for a Blue Light discount card.
Closing Date: 2nd April 2026. We will be interviewing on a rolling basis and reserve the right to close the job advert early if we receive a high number of applicants.
Job Purpose
The Director of Data Science, AI and Research leads our outstanding Data Insights Team which has expertise across data engineering, analytics, data science, machine learning, generative AI, and psychology, and works to provide insights which enhance our services and which we share with others in the sector, policy makers and politicians, service users and the general public.
The Director of Data Science, AI and Research works directly with the CEO and plays a central role in leading the strategy and development of the organisation, and is responsible for key external relationships across government, the mental health sector, funders, and researchers.
Key Responsibilities
- Developing and leading MHI's long-term data insights strategy, including developing and managing external data insights partnerships with academic researchers (e.g., IGHI at Imperial College London), government (e.g., Department of Health and Social Care), and other stakeholders in the sector (e.g., CTL, and other mental health charities), and policy makers.
- Member of the Senior Management Team, contributing to development and delivery of organisational strategy, and acting as MHI spokesperson/representative where relevant.
- Leading many of MHI’s key external relationships, including those with key supporters and funders such as The Jensen and Lori Huang Family Foundation, Google.org, the Wellcome Trust, and AWS.
- Recruiting, retaining, and managing members of the Data Insights Team.
- Analysis and reporting of service data and data insights, to support decision making within MHI, to help develop new products, and for external use (e.g., media, funders, keyword partners).
- Writing funding applications to support the data insights work, and managing relationships with funders including annual reporting and updates.
- Managing relationships with external contractors who support the Data Insights Team (e.g., AWS, AWS suppliers, AI and data engineering support).
Person Specification
- Strong experience with recruiting, retaining, and managing data professionals/scientists.
- Experience with developing data and organisational strategy at a senior level.
- Deep understanding of data analytics, data science, AI and machine learning, and qualitative approaches.
- Experience engaging with a broad range of senior internal and external stakeholders.
- Demonstrable knowledge and experience in mental health/psychology/neuroscience.
- Excellent attention to detail, rigour, and thoroughness.
This role is subject to eligibility to work in the UK, plus satisfactory background and reference checks.
We understand that AI is increasingly part of everyday life, and you might choose to use it when putting together your application. While AI can be a helpful tool, we ask that anything you submit reflects your own skills, experiences, and perspective. We value authenticity and integrity, and we want to see what you uniquely bring to our team and why our mission resonates with you personally.
Director of Data Science, AI & Research employer: Mental Health Innovations
Contact Detail:
Mental Health Innovations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Science, AI & Research
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to MHI. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by researching MHI's projects and values. Show us how your experience aligns with their mission, especially in mental health and data science. We love candidates who are genuinely interested!
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in data analytics and AI can contribute to MHI's goals. Confidence is key, so rehearse until it feels natural.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who want to make a difference in the mental health sector.
We think you need these skills to ace Director of Data Science, AI & Research
Some tips for your application 🫡
Be Authentic: We want to see the real you! While it’s tempting to use AI tools, make sure your application reflects your own experiences and skills. Show us why our mission resonates with you personally.
Tailor Your Application: Take a good look at the job description and align your skills with what we’re looking for. Highlight your experience in data science, AI, and mental health to make your application stand out.
Showcase Your Leadership Skills: As a Director, we’re keen to see your leadership style. Share examples of how you’ve successfully managed teams and developed strategies in your previous roles. We love a good story!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it gets to us directly. Plus, it helps us keep track of all the amazing candidates like you.
How to prepare for a job interview at Mental Health Innovations
✨Know Your Data Inside Out
As a candidate for the Director of Data Science, AI & Research, you need to be well-versed in data analytics, machine learning, and AI. Brush up on your technical knowledge and be ready to discuss specific projects you've led or contributed to. This will show your expertise and how you can lead the Data Insights Team effectively.
✨Showcase Your Leadership Skills
This role involves recruiting and managing a team, so be prepared to share examples of how you've successfully led teams in the past. Discuss your approach to mentoring and retaining talent, as well as how you’ve developed strategies that align with organisational goals. This will demonstrate your capability to lead at a senior level.
✨Engage with Stakeholders
You’ll be working with various stakeholders, including government officials and funders. Prepare to talk about your experience in building and maintaining these relationships. Highlight any successful collaborations or partnerships you've established, as this will illustrate your ability to represent the organisation effectively.
✨Be Authentic and Reflective
MHI values authenticity, so make sure your responses reflect your true self and experiences. Think about why their mission resonates with you personally and be ready to articulate this during the interview. This will help you connect with the interviewers and show that you’re genuinely invested in the role.