Science Analytics and Reporting Specialist

Reading
1 week ago
Create job alert

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

Related Jobs

View all jobs

QC Specialist Data Analytics

FP&A Manager

Operations Director

Analytics Product & Enablement Manager FTC

Senior Technical Services Engineer

Java Principal Software Engineer

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.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.