Data Scientist

Creditsafe
Cardiff
6 months ago
Create job alert

We are currently looking Data Analyst, to work in our Cardiff Bay office.

You will be expected to attend the office 50% of the working week, to align with our hybrid working policy.

WHO ARE WE?

At Creditsafe, we weave our core values of customer-obsession, trust, respect and the courage to be different into the very fabric of our culture. With these values, we’ve fostered a culture of growth, innovation, well-being and success for the last 20 years at Creditsafe and created a legacy of successful career trajectories within our community of Creditsafers.

Powering business decisions for over 100,000 business across the world requires more than just the right tools. As a company, we don’t shy away from rolling up our sleeves to do everything possible to create a welcoming environment where every new talent is guided, supported and nurtured to grow and become a part of the culture.

With 25 offices across 14 countries, our geographically disperse community of colleagues are a testament to our inclusive and diverse culture that comes together to solve complex problems and learn from each other.

Twice featured in The Sunday Times list of ‘100 Best Companies to Work,’ our list of successful Creditsafers who’ve created long-standing, strong career trajectories out of what started out as jobs, just keeps growing. We’re proud to be a part of a culture and a company where careers are made and where talent meet its true potential.

JOB PROFILE

As part of a team based at the HQ of Creditsafe, the successful candidate would be required to assist with the analysis and processing of a wide range of data. The primary responsibilities will involve the analysis of new/existing data sets, the development of processes to improve and build new data products, data mapping, testing and dealing with data queries.

KEY DUTIES AND RESPONSIBILITIES

  • Analysis of existing data and newly sourced data to identify the best ways that it can be processed and utilized in Creditsafe products.
  • Mapping data from various sources into database tables and into structures used in our reports and other products.
  • Data testing including comparing content and completeness between databases.
  • Identify, analyse, and interpret trends or patterns in complex data sets.
  • Liaising with data suppliers and maintaining a working relationship with them.
  • Monitoring the receipt and loading of data files.
  • Investigation and resolution of data queries from internal or external customers
  • Preparing reports based on analysis and presenting them internally to senior stakeholders.

The responsibilities detailed above are not exhaustive and you may be requested to take on additional responsibilities deemed as reasonable by their direct line manager.

SKILLS AND QUALIFICATIONS

  • MS Office or equivalent (Word, Excel, Power Point, Access etc.)
  • Databases with an understanding of how they are updated and maintained.
  • Data Analysis skills to query databases (e.g. SQL, Oracle and Python)
  • Communication software experience, e.g. E-mail, Teams, Skype, Zoom etc.
  • Internet, Intranet, Share Point etc.
  • A high level of mathematical ability.
  • The ability to analyse, model and interpret data.
  • Problem-solving skills.
  • A methodical and logical approach.
  • The ability to plan work and meet deadlines.
  • Accuracy and attention to detail.
  • Interpersonal skills.
  • Team working skills.
  • Written and verbal communication skills.

BENEFITS

  • Competitive Salary.
  • Company Laptop supplied.
  • Bonus Scheme.
  • 25 Days Annual Leave (plus bank holidays).
  • Hybrid working model.
  • Healthcare & Company Pension.
  • Cycle to work and Wellbeing Programme.
  • Global Company gatherings and events.
  • E-learning and excellent career progression opportunities.
  • Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/gb.

Creditsafe is an equal opportunities employer that values diversity. Please contact Creditsafe if there is any support you need with your application.

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Supply Chain Optimisation

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.