Data Scientist

2 weeks ago

Cardiff, United Kingdom Creditsafe Full time

We are currently looking a Data scientist to join the Identity resolution team within the Core engineering department.

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

Creditsafe is looking for a dynamic and forward-thinking mathematics focused Data Scientist to join our Identity Resolution Team. This role is more than a job - it is an opportunity to dive headfirst into a world of transformative tech and impactful analysis. We are driven by the spirit of innovation and our passion for understanding people's needs. We thrive on using cutting-edge technologies such as Machine Learning and data-driven insights to understand our customers at a granular level.

As our Data Scientist, you will apply your mathematical acumen and use state-of-the-art machine learning algorithms and sophisticated data analysis techniques to decode customer behaviours and translate them into actionable insights, along with contributing to the development and implementation of mathematically driven strategies and solutions that improve our matching capability.

Join us now and become an integral part of shaping the future of our identity resolution service leaving a lasting legacy in our company’s history.

KEY DUTIES AND RESPONSIBILITIES

Apply mathematical principles and techniques to analyse patterns in company data across various international markets.

  • Use vector space principles to Identify matching patterns and rules
  • Collaborate with the technical team to build and implement mathematical rules and models that improve our matching capability.
  • Prepare comprehensive reports on the results of data analyses.
  • Collaborate with other teams to identify opportunities for process and policy improvements.

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

Able to apply mathematical principles and techniques to analyse patterns in company data across various international markets.

  • Use vector space principles to Identify matching patterns and rules
  • Collaborate with the technical team to build and implement mathematical rules and models that improve our matching capability.
  • Prepare comprehensive reports on the results of data analyses.
  • Collaborate with other teams to identify opportunities for process and policy improvements.
  • A bachelor’s degree in mathematics, Data Science, Statistics, or a related field.
  • Proven experience in a similar role with a strong focus on mathematical modelling.
  • Proven experience with data cleansing and analysis.
  • Advanced knowledge of mathematical principles, particularly vector space concepts, and how they apply to data analysis.
  • Proficiency in using data processing and analysis tools and software.
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
  • Strong problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced, team-oriented environment.
  • Proficiency in English; knowledge of additional languages is a plus.

BENEFITS

  1. Competitive Salary.
  2. Company Laptop supplied.
  3. Bonus Scheme.
  4. 25 Days Annual Leave (plus bank holidays).
  5. Hybrid working model.
  6. Healthcare & Company Pension.
  7. Cycle to work and Wellbeing Programme.
  8. Global Company gatherings and events.
  9. E-learning and excellent career progression opportunities.
  10. Plus more that can be found on the benefits section on the Careers page,

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

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