Data Science Lead

Roke
Gloucester
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Data Analytics & Data Science Lead

Senior Data Scientist

Machine Learning and AI Engineering Lead

Vice President Data Science

Head of Analytics & Data Science

As a Data Science Lead, you’ll lead on delivering technical solutions for Roke’s National Security Customers, focussing on Data Services and defining novel technical approaches. Your teams will include a mix of technical abilities including data engineering, machine learning, cloud, DevOps and software engineering skills.

Roke are a leading technology & engineering company with clients spanning National Security, Defence and Industry; working alongside our customers to solve their complex and unique challenges by bringing the physical and the digital together. 

As a Data Science Lead, customer engagement will be a large part of your role, playing a key part in the customer consulting, presales and business development strategy; with the opportunity to prepare and contribute to technical proposals and bids.
 
The Key Requirements... 
Ideally experience in a number of areas, including some of the below;

Designing and building scalable data platforms Analytical techniques for extracting insight from a variety of data sources Visualisation of complex data Machine learning At least one programming language Python, Java, C++) DevOps techniques for supporting repeatable deployment and testing Cloud technologies (AWS/Azure/GCP) Experience with Agile and Agile leadership roles.

If you do not meet all of the above, please still apply, as there are development opportunities available.

Built over a 60-year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act – through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe – that’s our mission, passion, and motivation. 
 
Joining a team united by purpose and ambition, you’ll be at the heart of an exciting growth journey: having doubled in size over the last 4 years, we intend to double our headcount by 2027. At Roke, every individual counts. We push technical boundaries, together. We re-invest in product innovation, and we empower our people to make a difference. 
 
Where you’ll work… 
You’ll find our Gloucester site in a business park two minutes from junction 11A of the M5; The site allows easy access to our local customer base. Set on the outskirts of the Cotswolds, you are never far from a picturesque view or lunch time walk. 
 
Why you should join us... 
Operating as one Roke, there is a shared belief that everyone has a responsibility to create an environment that encourages you to bring your whole self to work; in a place where everyone has the time, trust and freedom to succeed. 
 
We are committed to a policy of Equal Opportunity, Diversity and Inclusion, enabled by our employee led resource groups of Women In Roke, Neurodiversity, Inspire (LGBT+) ME (Majority Ethnic), Veterans and Disability; which each contribute to making Roke a great place for people from all backgrounds to work.
 
Mental health and wellbeing is also important to Roke, there is a group of supportive Mental Health First Aiders to lend a listening ear for anyone who needs it; alongside a team of Mental Health First Aid Champions who help build a mentally healthy workplace, challenge stigma and support positive wellbeing. 
 
The Benefits and Perks...

Flexi-time: Working hours to suit you and your life  Annual bonus: Based on profit share and personal performance  Private medical insurance: Includes cover for existing conditions  Holiday: 25 days plus public holidays and your birthday off  Chemring Share Save: Monthly savings into a 3 or 5 year plan. 

 
Clearances… 
Due to the nature of this role, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the for the last 10 years. 
 
The Next Step... 
Click apply, submitting an up-to-date CV. We look forward to hearing from you. 
 
 

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.