Data Scientist

Creditsafe is looking for a dynamic and forward-thinking 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?

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.

THE TEAM

Identity resolution is one of Creditsafes core teams, enabling our customers to match their customer and client lists against our extensive database of companies across 22 different countries. Currently built with Python on 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 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 analysing patterns in company data, cleansing and enhancing data quality, and devising new rules and methodologies for efficient data matching

KEY DUTIES AND RESPONSIBILITIES

• Analyse patterns in company data across various international markets
• Interpret customer data to identify optimal strategies for enhancing our matching capabilities
• Develop analytical tools (e.g. ML models) to better identify matching patterns and rules
• Identify ways to cleanse and enhance the quality of existing and received data
• Collaborate with the technical team to build and implement rules
• 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

• A Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in a similar role.
• Proven experience with data cleansing and analysis.
• Advanced knowledge of 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.

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.

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