Junior Data Scientist – Finance – Guildford area

Guildford
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist/ Senior Risk Scientist

Django Developer

Python Developer - Digital Transformation Team

Graduate/Junior Data Engineer

Senior Data Engineer

Junior MI Analyst

Junior Data Scientist – Finance – Guildford area

Are you a recent Data Graduate or Junior Data Scientist eager to kickstart your career in a role that would combine Data Science and some Engineering?

I am working with an ambitious finance company in the Guildford area to recruit a Junior Data Scientist who brings someone skills and experience in Data Engineering to join their Data team. As part of a small team you will focus on Data Science but will also get involved in the end-to-end data lifecycle.

I’m looking for a recent Graduate / Junior Data Engineer with a Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or related field and proven skills through training, internships or commercial experience in a Data Engineer, Data Science or Data Analytics role.

The role:

  • Build Data Science models

  • Help in the process of manipulating data from a Snowflake data warehouse.

  • Develop algorithms and robust data-driven solutions.

    To be considered you will have experience with many of the following technologies:

  • Building predictive models using a range of techniques and implementing Generative AI tools.

  • Proficiency in programming languages such as Python or Scala.

  • Experience with ETL, Data Pipelines, Data Modelling, Data Warehousing and Data

  • Experience with SQL Server, T-SQL and MS BI Stack – SSIS, SSAS, SSRS

    £35,000 - £50,000 + good pension + 25 days holiday + Discretionary bonus + Private medical + life assurance

    Location: Hybrid Working - 3 days in the office based in the Guildford area

Get the latest insights and jobs direct. Sign up for our newsletter.

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 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.