Data Scientist

at  Creditsafe

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.

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.

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.

Desirable

• Expertise in Graph Neural Networks (GNNs)
• Strong proficiency in Python and data science libraries.
• Experience with cloud platforms like AWS, GCP, or Azure

• 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.