Data Platforms Associate/1st line support

Pontoon

United Kingdom

Last month

£19 – £20 ph

Applications closed

Related Jobs

View all jobs

AI Data Scientist (KTP Associate)

University of Essex Colchester, Hybrid, South East England, United Kingdom

£41 pa Hybrid

Technical Support Associate

Synthesia London, United Kingdom

Hybrid

Technical Support Associate

Synthesia United Kingdom

Permanent

Interim BI & Quality Lead

Red King Resourcing London, United Kingdom

£400 pd Hybrid

Director of Supply Chain Data Solutions- London

REM Associates Ltd Hertford, Hertfordshire, United Kingdom

£150,000 – £175,000 pa On-site

Enterprise Data Architect

Vallum Associates London, United Kingdom

On-site

Salary

£19 – £20 ph

Posted: 16 Apr 2026 (Last month)

Save job

Create job alert

Applications closed

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Job Title: IT Service Desk Specialist/1st line support

Location: Bristol 5 days on site

Contract Type: 6 months - possibility for extension

We're looking for an experienced IT Service Desk Specialist to join a busy Data Platforms team supporting Reporting and Analytics applications.

This role will suit someone who enjoys working at the intersection of IT operations and the business - managing access, supporting applications, coordinating changes, and triaging incidents through the service desk.

Key Responsibilities:

· Act as the first point of contact for incidents and service requests via JIRA/service desk

· Log, categorise, triage, and resolve tickets, escalating to 2nd line where required

· Perform daily system health checks and proactively log/manage issues

· Review weekend batch streams and backup performance, escalating exceptions

· Manage user access and security provisioning (including Active Directory updates)

· Conduct periodic access audits ensuring compliance with data governance controls

· Coordinate and implement Change Requests (CRs)

· Promote and migrate changes into Test and Production environments

· Support developers with application access, deployments, and troubleshooting

· Provide clear communication and status updates to business and IT stakeholders

Skills & Experience:

· Experience in a Service Desk / Application Support role

· Strong understanding of ITIL processes and change management

· Good knowledge of Windows-based enterprise applications

· Highly organised, process-driven, and detail-oriented

· Strong communication skills with the ability to build trusted stakeholder relationships

Tech Environment (desirable)

Please be advised: if you haven't heard from us within 48 hours, then unfortunately your application has not been successful on this occasion. We may, however, keep your details on file for any suitable future vacancies and contact you accordingly.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Apr 5, 2026

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Mar 24, 2026

Jobs

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

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. 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.