Data Scientist

0026 Checkout Technology Ltd; London; On-site; GBP 45,000 - 85,000; Full time

Job description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

About the Role:

As a Data Scientist at [Your Company Name], you will play a key role in leveraging our vast datasets to extract meaningful insights, build predictive models, and drive data-informed decisions across the organization. You will work closely with cross-functional teams, including [mention relevant teams like Engineering, Product, Marketing, etc.], to understand their needs and deliver impactful data-driven solutions. This is an exciting opportunity to contribute to [mention specific areas of impact or projects].

Responsibilities:

• Data Exploration and Preprocessing: Collect, clean, and transform large and complex datasets from various sources. Identify and address data quality issues.
• Statistical Analysis and Modeling: Apply statistical techniques, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and data mining methods to analyze data, identify patterns, and build predictive models.
• Feature Engineering: Develop and implement effective features from raw data to improve model performance.
• Model Evaluation and Deployment: Evaluate the performance of models using appropriate metrics and deploy them into production environments.
• Data Visualization and Communication: Create compelling visualizations and communicate complex data insights and findings to both technical and non-technical audiences.
• Collaboration and Problem Solving: Work closely with stakeholders to understand business problems, define data science solutions, and translate findings into actionable recommendations.
• Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new techniques and tools to improve our capabilities.
• Documentation: Maintain clear and concise documentation of methodologies, models, and results.
• Contributing to Data Infrastructure: Collaborate with data engineers to improve data pipelines and infrastructure for better data accessibility and quality.

Qualifications Required:

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or a related discipline.
• [Number] + years of experience working as a Data Scientist or in a similar analytical role.
• Strong understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn in Python; dplyr, ggplot2 in R).
• Experience with SQL and working with relational databases.
• Excellent problem-solving and analytical skills with the ability to translate business questions into data-driven solutions.

Additional Information

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from, however you identify and whichever payment method you use, our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success. When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

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