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- Tasks: Lead the development of machine learning models and simulation tools for defence projects.
- Company: A leading UK consultancy focused on AI and data science in high-stakes environments.
- Benefits: Competitive salary, clear progression opportunities, and a collaborative work culture.
- Why this job: Make a real-world impact by working directly with clients on mission-critical solutions.
- Qualifications: 3-10+ years of experience in data science and strong stakeholder engagement skills.
- Other info: On-site role with travel across England and Scotland, requiring British citizenship.
The predicted salary is between 64000 - 108000 £ per year.
Are you ready to apply data science where it matters most? Do you want your models to drive real-world outcomes in mission-critical settings? Do you enjoy working onsite with a variety of invested clients?
A leading UK consultancy is building a dedicated AI & Data Science team to strengthen its delivery capability in Defence. They’re known for outcome-driven transformation work and operate a genuinely hands-on model where technical teams embed with client stakeholders to make change stick. The business has a strong track record across complex, high-stakes environments, and is now scaling its DS capability to deliver ML, GenAI and simulation solutions end-to-end. For high performers, there’s clear progression and the chance to shape the direction of a growing AI practice.
You’ll work directly with end users and senior stakeholders to shape solutions from concept through to embedded impact. This is a high-trust, high-autonomy role where you’ll own both technical delivery and stakeholder engagement - all within a deeply collaborative consulting environment. They’re hiring at Lead (3-5 years of experience) to Principal level (5-10+ years of experience).
Key Responsibilities- Build and deploy machine learning models and simulation tooling in secure environments
- Lead technical delivery across multi-disciplinary teams, including consultants and engineers
- Work closely with client stakeholders on-site to co-design and iterate on solutions
- Translate complex analytics into strategic business outcomes with measurable value
- Salary: £80,000 - £150,000
- Working model: On-site 4–5 days/week across UK client locations in England & Scotland (travel required)
- Tech Stack: Python, MLflow, Databricks, Docker, Azure OpenAI, simulation frameworks
- Clearance: British citizenship / Security Clearance eligibility required
- Visa: This role cannot sponsor
Interested? Please apply below.
Lead Data Scientist (Defence) - Onsite UK Clients in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (Defence) - Onsite UK Clients in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the defence sector or those already working at the consultancy. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Showcase your skills in action! If you've got projects or case studies, bring them along to interviews. Demonstrating how you've tackled real-world problems with data science will make you stand out.
✨Tip Number 3
Prepare for technical discussions! Brush up on your knowledge of machine learning models and simulation tools relevant to the role. Being able to discuss your approach and thought process will impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Scientist (Defence) - Onsite UK Clients in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with machine learning models and any relevant projects you've worked on in defence or similar high-stakes environments. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in defence and how you can contribute to our mission-driven work. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially with tools like Python, MLflow, and Azure OpenAI. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description, especially Python, MLflow, and Azure OpenAI. Brush up on your knowledge of machine learning models and simulation frameworks, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Understand the Defence Sector
Familiarise yourself with the specific challenges and requirements of the defence sector. Research recent developments and how data science is being applied in mission-critical settings. This will show your genuine interest and help you connect your skills to their needs.
✨Prepare for Stakeholder Engagement
Since this role involves working closely with client stakeholders, think about examples from your past where you successfully engaged with clients or team members. Be ready to discuss how you can translate complex analytics into strategic business outcomes that deliver measurable value.
✨Showcase Your Collaborative Spirit
This position requires a high level of collaboration within multi-disciplinary teams. Prepare to share experiences where you’ve worked in a team setting, highlighting your ability to lead technical delivery while fostering a collaborative environment. Emphasise your adaptability and communication skills.
