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

Nominate & Attend

Junior Data Scientist

Intellect Group
City of London
1 week ago
Create job alert

Role: Junior Data Scientist

Location: London, UK (Hybrid)

Salary: £35k-£45k (DOE)


Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability.


My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions.


Your Responsibilities:

  • Analyse complex datasets:Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions.
  • Support predictive modeling:Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes.
  • Develop data-driven solutions:Create algorithms and tools that automate and enhance decision-making across the company.
  • Collaborate with cross-functional teams:Work closely with finance, product, and technology teams to align data science initiatives with business goals.
  • Visualise data insights:Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders.


Requirements:

  • Bachelor’s degree in a STEM field:Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields.
  • Proficiency in programming languages:Experience with Python and SQL for data analysis, manipulation, and modeling.
  • Basic understanding of machine learning:Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting.
  • Experience with data visualisation tools:Knowledge of tools like Tableau/Power BI, or similar to present data effectively.
  • Strong analytical skills:Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences.


It's A Bonus If You Have:

  • Experience in finance:Prior exposure to financial data or working in a financial services environment is a plus.
  • Curiosity and drive:A passion for learning and staying updated with the latest trends in data science and finance.
  • Problem-solving mindset:Ability to think critically and approach challenges with innovative solutions.


The Benefits:

  • Growth opportunities:Be part of a fast-growing company with ample opportunities for career advancement.
  • Innovative work environment:Work with a team that values creativity, collaboration, and continuous learning.
  • Cutting-edge tools and technologies:Access to the latest data science tools to help you excel in your role.
  • Competitive compensation:A salary that reflects your skills and experience, along with performance-based bonuses.


If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.

Related Jobs

View all jobs

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

Junior Data Scientist

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 Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.