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

Nominate & Attend

Entry-Level Data Scientist

Why Hiring
Plymouth
2 weeks ago
Applications closed

Related Jobs

View all jobs

Entry-Level Artificial Intelligence Automation 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.

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

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.