Data Checking Administrator

Leeds
1 day ago
Create job alert

A leading Leeds-based tech organisation is looking for a candidate who is comfortable around data - checking large volumes of data, mapping data, and leading on suggesting process improvements. This role involves checking large volumes of data throughout your shift, ensuring that large data sets are correct. You must have experience of working with data.

Key Responsibilities:

Manage and analyse large volumes of data to ensure accuracy and functionality across various systems.
Monitor systems to ensure data is behaving as it should. If data isn't performing correctly, investigate and resolve the issue.
Map data, ensuring it's organised and flows correctly across different systems.
Constantly look for ways to improve data processes and identify areas for improvement.
Work with spreadsheets, ensuring data is well-managed and accurate.
Collaborate with your team to ensure smooth and efficient operations.
No direct customer contact, but a vital part of the team ensuring everything runs efficiently behind the scenes.

Shifts & Schedule:

5 shifts a week, including weekends.
3 shifts: 9am - 5pm.
2 late-night shifts per month: until 10pm.
Weekend shifts will start at 7am, 9am, or 1pm for 8-hour shifts.

Ideal Candidate:

Data Science Graduate or someone with experience in a data-related role.
Strong ability to manage large sets of data and work with spreadsheets (Excel, Google Sheets, etc.).
An analytical mindset with the ability to identify issues and solve problems when data isn't behaving as expected.
A keen eye for improvement opportunities within data processes.
Excellent attention to detail and strong organisational skills.Please apply today if you love data and would like to work for a forward thinking employer in Leeds.

Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles.

We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.

PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK

Related Jobs

View all jobs

AI Trainer for Dutch Writers/Speakers (College Degree Required)

AI Trainer for Catalan Writers/Speakers (College DegreeRequired)

AI Trainer for Dutch Writers/Speakers (College DegreeRequired)

Account Manager - Creative Agency

Senior Product Manager

Senior Electrical Design Engineer (Water)

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.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

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

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.