Science Analytics and Reporting Specialist

Reading
1 month ago
Applications closed

Related Jobs

View all jobs

Product Owner - VisNET

Data Scientist

UNPAID VOLUNTEER - Principal/Senior Technology Officer (Artificial Intelligence)

Senior Data Scientist

Senior Data Scientist

Pricing Analyst

Science Analytics and Reporting Specialist

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Package: £47,860 - £70,200 (depending on your suitability, qualifications, and level of experience)

Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.

Let us introduce the role

The Science Business Operations team at AWE is committed to driving excellence and innovation in our business processes. We are seeking a motivated individual with a growth mindset to join us as a Science Analytics & Reporting Specialist. This role offers the opportunity to make a significant impact on our reporting and analytics capabilities, supporting key stakeholders in making informed business decisions.

As a Science Analytics & Reporting Specialist, you will collaborate closely with all Science areas to develop delivery performance indicators and ensure effective reporting across all levels of the business. You will coordinate the development and management of reporting and metrics across various aspects of our business operations, including resourcing, finances, and delivery. This role requires regular engagement with stakeholders both within science and across the broader business.

Who are we looking for?

We do need you to have the following:

Proficiency in Microsoft products including Power Automate and PowerApps.

Understanding and experience in data engineering, encompassing ETL processes, data quality, integrity, and security.

Experience with reporting tools such as Power BI.

Experience with EPBVS (Enterprise Planning & Budgetary Cloud Service).

Strong proficiency in SQL and other data querying languages.

Proven analytical and critical thinking skills, with the ability to interpret complex data and present findings to a diverse audience

Everyone who works at AWE brings unique skills and perspectives to the table. We recognise that great people don't always 'tick every box'. That's why we focus on your potential, your fit with our values, your transferable skills as well as your experience. Even if you don't meet every point below, but you feel that this role and AWE are a great fit for you, please go ahead and apply, we'd love to receive your application.

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

Managing a diverse range of stakeholders, including senior leadership/stakeholders as customers

Growth mindset with a proactive approach to seeking opportunities for continuous improvement and efficiencies

Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely to various audiences.

Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models

Knowledge of Palantir Foundry and its data integration and analytics capabilities

Understanding of how to present metrics and management information

Project management experience, with the ability to manage multiple projects and deadlines simultaneously

Some reasons we think you'll love it here:

AWE has wide range of benefits to suit you. These include:

9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.

Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).

Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.

Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.

Employee Assistance Programme and Occupational Health Services.

Life Assurance (4 x annual salary).

Discounts - access to savings on a wide range of everyday spending.

Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.

Important things you need to know:

You will need to obtain and maintain the necessary security clearance for the role. This will be funded by AWE. The nature of our work does mean you need to be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV.

We want you to feel comfortable and able to shine during our recruitment process. Please let us know on your application form if you need any adjustments/accommodations during the process.

Our interviews typically take place over Teams and for most roles are a 1 stage process.

IF HYBRID POSSIBLE:

Hybrid working is available for this role on an informal, non-contractual basis. Typically 2 days onsite per week.

#LI-DS

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.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.

Veterans in Tech: A Military‑to‑Civilian Pathway into AI Jobs

Published on ArtificialIntelligenceJobs.co.uk – empowering the UK talent pipeline for artificial intelligence, data, and robotics. Introduction Leaving the Armed Forces is both a proud milestone and a daunting leap into the unknown. Whether you served with the Royal Navy, British Army, Royal Air Force or Royal Marines, one thing is certain: the skills you forged under pressure are in high demand—especially in the booming field of artificial intelligence (AI).  The UK’s AI market is expected to contribute £400 billion to the economy by 2030, with defence and security applications at its core. Employers from start‑ups to FTSE‑100 giants are crying out for disciplined professionals who understand mission‑critical environments. Ex‑service personnel fit the bill perfectly. This guide maps the military‑to‑civilian journey, signposts Ministry of Defence (MoD) transition programmes, and shows you exactly how to land your first AI role. Quick Win: Bookmark our live listings for Machine Learning Engineer roles to see which employers are hiring right now.