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Creditsafe is looking for a dynamic and forward-thinking mathematics focussed Data Scientist to join our Identity Resolution Team. This role is more than a job - it's 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

WHO ARE WE?

Privately owned and independently-minded, Creditsafe operates with the singular vision of powering business decisions. We do this by delivering valuable intelligence on customers, suppliers and potential buyers to corporates, public sector organisations and SMEs globally.

Our journey began in 1997 in Oslo, Norway in 1997, with a revolutionary dream to make business information accessible to all. Twenty-five years later, we’ve not only realised this dream, changed the market for the better, made data intelligence accessible to all businesses big and small but most importantly, opened up new avenues of data intelligence for businesses with machine learning, AI and connected data.

From risk management through to opportunity identification, our industry-leading solutions, power decisions for companies by turning their data into actionable insights that help them become stronger, grow faster and thrive.

THE TEAM

Identity resolution is one of Creditsafe’s core teams, enabling our customers to match their customer and client lists against our extensive database of companies across 22 different countries. Currently built on a python, hadoop / hive and AWS tech stack, the product is constantly evolving and is currently going through a very exciting phase where we seek to streamline and improve our matching capabilities across the whole business.

JOB PROFILE

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.

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.

SKILLS AND QUALIFICATIONS

• 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

• 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.