Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Scientist

Erin Associates
Taunton
9 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist - Reply

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Data Scientist – Taunton, Somerset - Remote working - 2 years experience SQL, Machine Learning, Python, Data Mining, Data Reports– Taunton, Remote working, – £40k  This highly successful and growing organisation, based in Taunton, Somerset are looking to add an enthusiastic Junior Data Scientist to provide analysis and extraction of large data sources.   The successful Data Scientist will be part of a dynamic IT team focusing on using data mining, machine learning and statistical tools to produce data solutions. Responsibilities will include testing data mining models, creating clear client reports and data solutions. Core Skills for this Junior Data Scientist role:PythonPower BIAzureSQLMachine LearningChat GPT (ideal but not essential)Interpersonal SkillsExcellent communication skillsAbility to deal with multiple projects at one time.Well organised, self-motivated, and able to successfully work under tight project deadlines.Able to work well as part of a team, but also to be self-motivated when working alone.As part of your role ongoing self-development and learning is required to ensure you are effective within the position. Therefore, the company will support you in any career aims or any training you wish to pursue. They offer a competitive salary and excellent work/life balance, and they are looking for an ambitious Data Analyst who feels they are ready to step up in to a new challenge and progress their skill set. Key words: SQL, PowerBi, Machine Learning, Python, Data Mining, Data Reports, Taunton, SomersetEmail your cv for consideration to Bethany at (url removed) Please follow us on twitter @erinassociates Erin Associates Ltd is acting as an Employment Agency in relation to this vacancy

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.