At a Glance
- Tasks: Build and deploy machine learning models to drive real-world outcomes in Defence.
- Company: Leading UK consultancy known for hands-on, outcome-driven transformation work.
- Benefits: Competitive salary, clear progression opportunities, and a collaborative environment.
- Other info: On-site role with travel across England and Scotland; British citizenship required.
- Why this job: Make a real impact in mission-critical settings while working with invested clients.
- Qualifications: 3-10+ years of experience in data science and strong stakeholder engagement skills.
The predicted salary is between 64000 - 96000 € 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 are 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 England employer: Harnham
Join a leading UK consultancy that excels in delivering impactful data science solutions within the Defence sector. With a strong emphasis on collaboration and hands-on engagement, you'll have the opportunity to work directly with clients, driving meaningful change while enjoying a culture that prioritises employee growth and progression. This role offers a unique chance to shape the future of AI practices in a high-trust environment, making it an excellent employer for those seeking to make a difference in mission-critical settings.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Defence) - Onsite UK Clients in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in defence or data science. Attend meetups, webinars, or even local events to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to machine learning and simulation. This will give potential employers a taste of what you can do and how you can drive real-world outcomes.
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and values. Be ready to discuss how your experience aligns with their goals, especially in high-stakes environments. Tailor your responses to highlight your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Scientist in Defence. Highlight your experience with machine learning models and any relevant projects that showcase your ability to drive real-world outcomes.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about applying data science in mission-critical settings. Share specific examples of how you've worked with stakeholders to deliver impactful solutions.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, MLflow, and other tools listed in the job description. We want to see how your technical expertise aligns with our needs in a collaborative consulting environment.
Apply Through Our Website:For the best chance of success, make sure to apply through our website. This way, we can easily track your application and get back to you quickly. We can’t wait to see what you bring to the table!
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 case studies that highlight how data science is being applied in mission-critical settings. This will show your genuine interest and help you connect your experience to their needs.
✨Prepare for Stakeholder Engagement Questions
Since this role involves working closely with client stakeholders, be ready to discuss your experience in stakeholder engagement. Think of examples where you’ve successfully collaborated with clients to co-design solutions and how you translated complex analytics into actionable business outcomes.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Practice articulating your thought process when approaching complex problems, especially in high-stakes environments. Highlight your ability to lead technical delivery and work within multi-disciplinary teams.
