Senior Data Scientist

GCHQ
Winchcombe
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (GenAI)

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

Senior Data Scientist – Machine Learning -  Defence –Eligible for SC

Senior Data Scientist

Senior Data Scientist

Senior Data Scientists Ref. 3409

Location: Cheltenham

Closing Date - 23:00 PM on Tuesday 18th of February 2025

Department: Technology, Engineering & Research

£41,935-£49,892 dependent on skills and experience. Opportunity to qualify for specialist skills payment ranging from £4,420-£18,720

Description

Flexible Working: We offer full-time and part-time opportunities with flexible working hours. Remote working may be possible, and there will be opportunities for some home working. It will be structured as 80% office-based and 20% from home, with one day a week dedicated to a combination of learning and working from home.

About Us

GCHQ is an intelligence, cyber and security agency with a mission to keep the UK safe. We use cutting-edge technology, ingenuity and partnerships to identify, analyse and disrupt threats. Working with our intelligence partners MI5 and MI6, we protect the UK from terrorism, cyber-attacks and espionage. At GCHQ you’ll do varied and fascinating work in a supportive and inclusive environment that puts the emphasis on teamwork.

The Role

As a Senior Data Scientist, you’ll leverage data science to advance our mission and inform policy and strategy decisions. While this role is data-centric, collaboration is at its heart.

In this role, you’ll collaborate with data scientists and mission teams to utilise our services for problem-solving and discovering new applications. You’ll work with project teams to research and implement both established and novel models, and adapt AI techniques into our microservice architecture. Supporting our Development Operations (DevOps) team, you’ll explore innovative Machine Learning Operations (ML Ops) tools and learn to host large language models across multiple Graphic Processing Units (GPUs). After a year in this role, you’ll have opportunities to manage data scientists and engineers,

You understand the power of data for a business, and at GCHQ, we know how to use it for good. Every bit of data you work on is mission-critical and not driven by commercial gain, so you can be confident that your work makes a positive impact.

There may be annual opportunities for overseas travel for collaboration, conferences, and training.

About You

A STEM or computer science-related degree, or an equivalent qualification, will be beneficial. If you don’t have a degree but possess relevant experience, please apply, as your experience is as valuable as a professional qualification. Ideally, you’ll have a deep understanding of machine learning, including training deployment, and maintenance. Additionally, you should be proficient in exploratory data analysis, statistical reasoning, and data driven decision-making.

Your experience in data science or software engineering enables you to communicate effectively with experts in both fields. This background has also shaped you into an effective manager, with a history of mentoring and supporting colleagues. Beyond these skills, you’re adept at leading teams and working with internal and external partners, as well as end users. Technically, you’re well-versed in the entire lifecycle of machine learning projects, capable of transforming a prototype capability (such as one in a Jupyter notebook) into a functional system component. Additionally, you’re proficient in a range of technologies, including but not limited to some of Python, Kubernetes, Docker, JavaScript, and Java.

Training and Development

At GCHQ, we’re committed to giving you all the support and guidance you need to build a rewarding career at the heart of national security, and we’ll do this from the very start. From day one, you’ll have a comprehensive introduction to the organisation, plus a buddy on hand to support and mentor you as you get settled in. We understand that everyone learns differently, so we’ll tailor your development to suit your needs – whether that’s through books, studying, courses, or conferences. Additionally, we offer an internal Data Science learning pathway with a significant taught component. Successfully completing this pathway will open up a variety of other learning opportunities, aligned with ambitions, career direction, and our mission requirements. The programme includes modules on exploratory data analysis, and visualisation, mathematics and statistics, machine learning, algorithms and graph theory, and big data technologies.

Rewards and Benefits

You’ll receive a starting salary of £41,935 – £49,892 depending on skills and experience. You might also qualify for a skills payment base on your expertise. Plus, you’ll enjoy other benefits, including:

  • 25 days annual leave automatically rising to 30 days after 5 years' service, and an additional 10.5 days of public and privilege holidays
  • Opportunities to be recognised through our employee performance scheme
  • Interest-free season ticket loan
  • Excellent pension scheme
  • Cycle to work scheme
  • Facilities such as a gym, restaurant, and on-site coffee bars (at some locations)
  • Paid parental and adoption leave

Equal Opportunities

At GCHQ, diversity and inclusion are critical to our mission. To protect the UK, we need a truly diverse workforce that reflects the society we serve. This includes diversity in every sense of the word, those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are underrepresented in our workforce such as women, those from ethnic minority backgrounds, people with disabilities and those from low socio-economic backgrounds.

Find out more about our culture, working environment and diversity on our website.

We’re Disability Confident

GCHQ is proud to have achieved Leader status within the DWP’s Disability Confident scheme. This is aimed at encouraging employers to think differently about disability and take action to improve how they recruit, retain, and develop disabled people. Being Disability Confident, we aim to offer a fair and proportionate number of person-to-person interviews to any candidate who self-identifies as disabled and meets the essential criteria for the role. This is our ‘Offer of Interview’ (OOI). To secure an interview for this vacancy, the essential criteria (in order of application process) are:

  • A STEM or computer science-related degree, or an equivalent qualification or relevant experience in lieu of a degree – assessed at sift.
  • Demonstrate proven management skills including mentoring and supporting colleagues – assessed at application sift.
  • Demonstrate an ability to lead teams and collaborate with internal and external partners, as well as end users – assessed at application sift.
  • Strong motivation for the role and a genuine interest for working for the organisation – assessed at application sift.
  • Demonstrate a deep understanding of machine learning, including training, deployment, and maintenance.

What to Expect

Our recruitment process is fair, transparent, and based on merit. Here is a brief overview of each stage, in order:

  • CV and application question sift
  • A competency based and technical interview – assessing your motivation for the role and your understanding of data science
  • If successful, you will receive a conditional offer of employment

Please note, you must successfully pass each stage of the process to progress to the next. Your application may take around 6 - 9 months to process, including vetting, so we advise you continue any current employment until you have received your final job offer.

Before You Apply

To work at GCHQ, you need to be a British citizen or hold dual British nationality. You can read our full eligibility criteria here.

This role requires the highest security clearance, known as Developed Vetting (DV). It’s something everyone in the UK Intelligence Community undertakes. You can find out more about the vetting process here.

Please note we have a strict drugs policy, so once you start your application, you can’t take any recreational drugs, and you’ll need to declare your previous drug usage at the relevant stage.

Before you apply, we advise you to consider setting up a separate email address for your contact with us to ensure your personal and application correspondence remain separate. Try to avoid having identifying features in your email address, such as your first and/or surname and date of birth. This is good practice and will help you manage your application with us more discreetly.

The role is based in Cheltenham, so you’ll need to live within a commutable distance. Please consider any financial implications and practicalities before submitting an application, as we do not offer relocation costs.

Please note, you should only launch your application from within the UK. If you are based overseas, you should wait until you visit the UK to launch an application. Applying from outside the UK will impact our ability to progress your application. You should not discuss your application, other than with your partner or a close family member.

Right to Withdraw Statement:

Please be aware that, we reserve the right to bring forward the closing date for this role from the original closing date once a certain number of applications have been received. Please be mindful of this and submit your application at your earliest convenience to avoid disappointment.

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 AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.