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- Tasks: Lead the development of machine learning models and simulation tools in defence.
- Company: A leading UK consultancy focused on AI and data science for impactful outcomes.
- Benefits: Competitive salary, clear progression opportunities, and a collaborative work environment.
- Why this job: Make a real-world impact by applying data science in mission-critical settings.
- Qualifications: 3-10+ years of experience in data science and strong stakeholder engagement skills.
- Other info: On-site role with travel across the UK and a dynamic, high-autonomy culture.
The predicted salary is between 64000 - 106000 £ 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 are 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 is clear progression and the chance to shape the direction of a growing AI practice.
You will 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 will 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the defence sector or related fields. Attend industry events, webinars, or meetups to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your data science projects, especially those relevant to defence. Use platforms like GitHub to share your work and demonstrate your expertise in machine learning and simulation tooling.
✨Tip Number 3
Prepare for interviews by understanding the specific challenges faced in the defence sector. Be ready to discuss how your experience can translate into real-world outcomes and how you can engage with stakeholders effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Scientist (Defence) - Onsite UK Clients in Slough
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 in defence or 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 mission-critical settings. Share specific examples of how you've driven real-world outcomes in previous roles, and let us know why you want to join our team.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! If you’ve worked with Python, MLflow, or any of the tools listed in the job description, make sure to highlight that. We’re looking for candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you’re serious about joining our team!
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 might be asked to discuss how you've used these tools in past projects.
✨Understand the Defence Sector
Familiarise yourself with the specific challenges and opportunities within 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’ve translated complex analytics into strategic business outcomes that delivered measurable value.
✨Showcase Your Collaborative Spirit
This position requires a high level of collaboration. Prepare to share experiences where you worked in multi-disciplinary teams. Highlight your ability to co-design solutions and iterate based on feedback, as this aligns with the hands-on model they value.
