At a Glance
- Tasks: Lead a multidisciplinary research team to drive AI innovation and scientific excellence.
- Company: Globally recognised organisation focused on advancing science through AI.
- Benefits: Competitive salary, comprehensive benefits, and flexible working environment.
- Other info: Opportunity to collaborate with world-class researchers and define strategic direction.
- Why this job: Shape the future of AI research and make a global impact.
- Qualifications: PhD in relevant field and proven leadership in AI research.
The predicted salary is between 100000 - 120000 £ per year.
The Company
They are a globally recognised, mission-led organisation applying cutting-edge artificial intelligence to advance scientific understanding and unlock new insights from complex biological and behavioural data. Their work brings together experts across machine learning, natural sciences, and research engineering to tackle ambitious, high-impact challenges. Supported by leading research partnerships and a strong long-term vision, they are building an environment where scientific excellence, innovation, and collaboration can thrive.
The Role
You will provide executive-level scientific leadership while overseeing a multidisciplinary research organisation. Key responsibilities include:
- Defining and delivering a multi-year scientific strategy aligned with organisational goals
- Leading and developing senior research leaders across AI, scientific research, and research infrastructure functions
- Ensuring scientific excellence, rigour, reproducibility, and high research standards across all programmes
- Driving collaboration between AI researchers and domain experts to maximise research impact
- Shaping organisational structure, workforce planning, and recruitment strategy for research teams
- Serving as a trusted member of the executive leadership team and contributing to broader business strategy
- Managing research budgets and resource allocation to ensure effective delivery against priorities
Your Skills & Experience
- PhD in Machine Learning, Computer Science, Electrical Engineering, Computational Biology, or a related quantitative discipline
- Deep expertise in AI research, large-scale machine learning implementation, or a combination of both
- Proven experience leading high-performing research or AI organisations
- Strong understanding of foundation models, large-scale training infrastructure, and modern AI systems
- Ability to evaluate research quality and guide technical strategy across multiple research domains
- Exceptional stakeholder management and executive communication skills
- Experience working across academic and commercial research environments is highly desirable
- Exposure to scientific research applications, bioacoustics, computer vision, speech, audio, natural sciences, or related fields would be advantageous
What They Offer
- Competitive salary package
- Comprehensive benefits
- Executive leadership position with significant organisational influence
- Opportunity to shape the future direction of a pioneering AI research organisation
- Access to world-class researchers, collaborators, and scientific partners
- Significant scope to build teams, define strategy, and drive innovation
- Flexible and collaborative working environment
- Long-term career impact through leadership of globally relevant scientific research
Chief AI Scientist employer: Harnham
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StudySmarter Expert Advice🤫
We think this is how you could land Chief AI Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Chief AI Scientist at Harnham.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
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When you find a suitable opening like Chief AI Scientist at Harnham, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Chief AI Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
