Economist

Farnborough
9 months ago
Applications closed

Related Jobs

View all jobs

BDO Digital Data Architecture and Engineering Senior Manager/Director

Data Engineer

Data Scientist - Measurement Specialist

Lead Data Scientist - Marketing Science

Data Scientist - Measurement Specialist

Junior Data Analyst

Working for a leading provider of economic and capability data for the Defence industry the position is varied and interesting. The role is ideal for someone with a desire to work on joint industry/government funded projects who thrives in a collaborative environment engaging with external economist in industry and government departments.

WFH 3 days per week. 9 Day fortnight.

Must live within 60-90 minute commute of Farnborough, Hampshire.

See below for comprehensive benefits.

All applicants must be British Citizens and dual nationality must be declared. This is a pre-requisite for reasons of National Security).

Economist Responsibilities:

  • Retrospective analysis and reporting on historical data.

  • Design and delivery of surveys to primes within the defence industry and Govt Depts.

  • Support the management and development of the Joint Economic Data Hub

  • Focus on the production and development of the Annual Economic Report.

  • Production of in year case studies and reports focusing on emerging themes in the defence industry (domestic and international).

  • Management of analysis projects supporting company's Customer Work Plan

  • Utilise and exploit a range of toolsets for gathering data, specifically the development and distribution of surveys to member organisations.

  • Provide stakeholders with informed and insightful briefing material which is easy to digest by audiences without an economic background.

  • Analysis of drivers in defence-related academic research, and investment in Science and Technology

  • Support the development and implementation of a new data gathering approaches – network with member companies to identify existing sources of data.

  • Manage and support the rollout of new visualisation methods and technologies

  • Support the curation and evolution of the Shared Information Space

  • Challenge perceptions, ensure best practice and consistency of material.

  • Ensure data protection is managed in accordance with policy and procedure.

    Essential Personal Attributes for the Economist role:

  • A UK citizen in order to achieve the required Security Clearance (dual nationality must be declared for reasons of national security)

  • Ability to work in Farnborough, Hampshire 2 Days (must be within sensible commute eg 1hr).

  • Economics Degree or Masters and 24 months experience in an Economics related function

  • Ability to analyse, interpret and present quantitative economic data using key economic theory and models with an interest in retrospective analysis

  • Strong analytical skills with the ability to critically appraise and summarise economic evidence

  • Strong desire to explore different forms of communication and different techniques for projecting messages

  • Strong desire to undertake research, data collection, and creative reporting of information

  • Sound experience of writing reports and briefings

  • Attention to detail and accuracy in checking numerical data

  • Ability to manage multiple projects, prioritise work and meet deadlines

  • Proven ability to work collaboratively in multi-stakeholder environments

    Economist Salary & Benefits:

    Bonus; Pension; Private health insurance; Life insurance; Cycle to work scheme; 9 day fortnight; Hybrid working; Extended remote working; Enhanced parental leave; 28 days annual leave; Buy additional annual leave; Long service additional annual leave

    Thank you for your application however due to the high volume of candidates applying, if you have not heard back from us within 5 days please assume that you have not been successful on this occasion

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.