Data Scientist

Who We Are in a Nutshell

Hi, we are FintechOS! We are the global leader in fintech enablement, on a mission to make fintech innovation accessible to every company. The FintechOS platform simplifies and accelerates the launch, servicing, and expansion of financial products and services - helping businesses realize value up to ten times faster than traditional approaches.

With FintechOS, banks, insurance providers, and companies can roll out new financial solutions in as little as 12 weeks.

Unlike other financial technologies, FintechOS liberates data from the core, enabling the creation of personalized, differentiated products and customer journeys at scale. As a cloud-native platform, FintechOS integrates with any technology or service financial and non-financial - seamlessly connecting with existing and legacy systems.

About the Role

As a Data Scientist at FintechOS, you will work with large and complex datasets to generate insights that shape business decisions and drive innovation. You will be responsible for developing predictive models, optimizing data processes, and implementing advanced analytics techniques to improve our customers' financial solutions.

What You’ll Be Doing

• Work with large datasets to extract meaningful insights that impact business decisions for our customers.


• Analyze and interpret data using statistical techniques, providing actionable insights and ongoing reports.


• Develop and implement data models and machine learning algorithms to enhance predictive capabilities.


• Assist in designing and maintaining scalable and efficient databases using Google BigQuery.


• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.


• Ensure data integrity, quality, and governance, documenting processes and implementing best practices.


• Stay up to date with advancements in data science, AI, and analytical techniques to continuously improve our capabilities.


• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

What You’ll Need

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.


• Certification in Data Science, Data Analytics, or Machine Learning is highly desirable.


• Proficiency in Python and experience using Jupyter Notebook for data analysis.


• Hands-on experience with Google BigQuery for data manipulation, storage, and analysis.


• Strong analytical and problem-solving skills, with the ability to collect, organize, analyze, and interpret large datasets.


• Knowledge of statistical modeling, machine learning algorithms, and data visualization techniques.


• Experience with data engineering practices, including ETL processes and database optimization, is a plus.


• Excellent communication skills with the ability to translate complex data into business insights.


• Ability to thrive in a fast-paced, dynamic environment, demonstrating adaptability and a customer-oriented mindset.

Our Culture

• We are a highly motivated team tackling one of the biggest technical challenges in the financial industry. The impact of our work reaches millions worldwide.


• At FintechOS, we strive to create a diverse, inclusive, and equitable workplace where talented individuals thrive and grow.


• We are committed to fostering a culture that values diversity across race, gender, sexual orientation, religion, ethnicity, and all unique traits that make us different.

Quick Facts

• Venture-backed business with co-headquarters in New York and London.


• Serving customers across North America and Europe.


• Clients range from global leaders like Groupe Société Générale, Admiral Group, and BPCE Oney, to innovative disruptors like Vibrant, eMag, and Howden.


• Strong partnerships with Deloitte, EY, PWC, and niche consulting agencies.