Lead Data Scientist

Cardiff
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - UK 12 Month FTC

Lead Data Scientist - 12 month FTC

Lead Data Engineer

Global Data Engineering Lead, Data Engineer

Role - Lead Data Scientist

Location - Cardiff (Hybrid 2 days per week)

Salary - Dependant on experience (Circa £90,000)

Looking for a new challenge in 2025… We're seeking a skilled and enthusiastic Data Scientist to Join an innovative team at the forefront of leveraging data to drive impactful solutions. You'll be key in building advanced models, optimising processes, and developing scalable data systems within a collaborative and agile environment.

What You'll Do

Design forecasting models and algorithms to optimise performance.
Engineer robust data pipelines to leverage diverse datasets in predictive systems.
Refine CI/CD pipelines, Infrastructure as Code (IaC), and test-driven development practices.
Collaborate across software development, data engineering, and operational teams for seamless solutions.
Provide mentorship to junior team members and foster a culture of collaboration.What You'll Bring

3+ years of experience in data science, with hands-on expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure).
Proficiency in Git version control systems.
Knowledge of IaC tools (e.g., Terraform), CI/CD pipelines, and test-driven development is a plus.
A degree in a quantitative field is advantageous but not essential.
Comfortable in a lead role with proven experience in a similar positionWhy You Should Apply

This is more than just a job, it's an opportunity to grow, innovate, and make an impact in a fast-moving sector. In return you'll get the following:

Competitive salary + quarterly profit-sharing.
Generous holiday allowance
Private medical coverage (including dental and vision) and mental health support.
Personal training budget and paid conference attendance.
Flexibility to work from home with a collaborative in-office culture.This is your chance to join a team where your ideas, skills, and career growth are truly valued.

Ready to Apply?

Contact Lewis Allen to find out more!

Please apply with a CV and a cover letter outlining why you're perfect for the role. We also have a referral scheme so if you know of someone who would be great for the role please get in touch.

*Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities

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.