Investigative Officer

Reading
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Fintech & Payments)

Data Analyst / Civil Engineer / Geophysicists / Geoscientist

Data Analyst

HR Data Analyst

Data Warehouse Developer

A fantastic opportunity for an experienced and analytical Investigative Officer has become available to work for a regulatory body on an interim contract for 3-6 months.You will join our investigation team to support the delivery of trade remedy investigations.Your new role

Liaise with external stakeholders to obtain data for case analysis, including issuing questionnaires.
Maintain the public file for the case by publishing non-confidential documents on the TRA's online platform.
Where appropriate, undertake assurance activities on the evidence received, which is often financial in nature.
Weigh up evidence received and make assessments against the criteria for each element of an investigation.
Draft reports for publication and take this through Quality Assurance and sign off processes.
Keep a clear written record of all analysis and decision-making and produce written reports for publication, in line with TRA standards.
Work with other members of the organisation in line with TRA's values to deliver your case work, including drawing in advice and submitting work for review.
Personal attributes and skills:

Able to gain proficiency and acquire and leverage new skillsets at pace. Well-organised, delivery-focused and adept at planning and prioritising to deliver to deadlines;
A team player, able to work with colleagues from a range of professions.
Comfortable using a range of IT systems and software packages, including Microsoft Excel, Outlook, Word, and document management systems, with an aptitude for applying technology to operational needs;
Comfortable with detailed analysis of quantitative and financial data and with quality assuring the analytical work of others;
An excellent written communicator - in particular, able to prepare robust, persuasive, impartial documents, including detailed reasoned decisions that take into account the sensitive political and legal environment in which we work;
An effective oral communicator, capable of representing the organisation professionally with a range of stakeholders
What you'll need to succeed

Essential:

Experience drawing together research and analysis to draft reports independently;
Experience working with financial and/or economic data to make assessments;
Experience working with procedures and policies, for example in a regulatory setting.Desirable:

Experience of managing risk, preferably in a casework environment;
Experience working in or with a government or regulatory body
Understanding of the work of businesses and markets
Understanding of commercial financial and management accounts
Experience of verifying or auditing financial and other data
Experience of delivering against a project plan or fixed timetable
What you'll get in return
A competitive day rate, this role can be predominantly remote with the expectation of attending the office (Reading) twice a month. An opportunity to work for a high-profile organisation who are doing very interesting work that will add excellent depth to your experience.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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.