National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Entry-Level Data Scientist

Why Hiring
Doncaster
1 month ago
Applications closed

Related Jobs

View all jobs

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.


About The Role:

This role demands proficiency in developing deep learning technologies with a primary focus on Python programming. We’re looking for a Data Scientist who has an interest in solving challenging ML/ AI problems. The Data Science team works on a variety of exciting analytics (ML, AI) projects.


Responsibilities

  • Tackle complex and high-impact problems in collaboration with a top-tier team of data scientists and analytics professionals
  • Demonstrate a strong passion for solving challenging big data issues
  • Effectively communicate insights and findings to scientific, business, and stakeholder audiences
  • Extract and analyze data to develop prototype models for targeting and personalization
  • Work closely with engineers and fellow data scientists to deliver scalable solutions


Education & Experience

  • Bachelor’s degree in Computer Science, Information Technology, or a related field (or foreign degree equivalent)
  • Minimum of 1 year of experience in one or more of the following: analytics, data warehousing, or software engineering
  • At least 1 year of hands-on experience with open-source machine learning tools using Python or R
  • 1 year of experience with scripting language such as Python
  • Experience in data engineering, including SQL and working with large structured or unstructured datasets
  • Strong practical experience in developing and implementing machine learning models and algorithms
  • Excellent skills in presenting data-driven insights effectively


About the Company

The company focused on solving complex data problems using advanced analytics and machine learning. The team applies modern data science techniques to develop tailored solutions for a variety of use cases. With a strong emphasis on innovation, the company combines technical expertise with insights from experienced professionals to deliver impactful results across different industries.


Key Skills

  • Data Science (required)
  • Python (required)
  • R (required)
  • SQL (required)
National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.