Data Scientist

About the Role

This Data Scientist role is a key position in shaping the future of finance at Multitude, a global FinTech company. As a Data Scientist, you'll be responsible for building and deploying end-to-end machine learning solutions that power key fintech use cases such as credit risk modeling, customer lifecycle optimization, fraud detection, and collections strategies.

Your work will directly influence key business decisions across risk, growth, and collections, making this a high-impact role for someone looking to make a difference in the financial services industry.

Key Responsibilities

• Own the full lifecycle of machine learning solutions: problem framing, data exploration, feature engineering, model development, deployment, and monitoring.
• Develop and productionize models for credit scoring, marketing optimization, collections, and other core business problems.
• Work with large-scale data to build robust data pipelines and feature datasets.
• Deploy and manage models using Azure Machine Learning, including experiment tracking, model versioning, and lifecycle management.
• Collaborate closely with stakeholders (product, risk, marketing, engineering) to identify high-impact opportunities and translate them into data solutions.
• Design, implement, and analyze A/B tests and experiments, ensuring statistically sound and business-relevant conclusions.
• Build monitoring frameworks to track model performance, detect data/model drift, and ensure long-term reliability.

Skills & Qualifications

• Strong programming skills in Python and SQL (R is a plus).
• Solid understanding of machine learning techniques and their practical trade-offs.
• Experience with Azure Machine Learning or similar platforms (AWS SageMaker, GCP Vertex AI).
• Experience deploying models into production and maintaining them (monitoring, retraining, versioning).
• Strong knowledge of experimentation and statistical methods (A/B testing, hypothesis testing).
• Degree in Data Science, Statistics, Mathematics, Econometrics, or a related field.
• Ability to translate complex analyses into clear business insights.

What You'll Learn

In this role, you'll gain hands-on experience with machine learning and data science, working with large-scale data and developing scalable, production-level solutions. You'll also learn about the fintech industry, including credit risk modeling, customer lifecycle optimization, and fraud detection.

As a Data Scientist at Multitude, you'll have the opportunity to work with a global team, collaborate with stakeholders, and contribute to key business decisions. You'll also have access to professional development programs, including LinkedIn Learning, mentorship, and leadership development initiatives.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning and data science, as well as your ability to work with large-scale data and develop scalable solutions. Emphasize your knowledge of experimentation and statistical methods, and your ability to translate complex analyses into clear business insights.

Also, be sure to customize your resume to the specific requirements of the job, using keywords from the job description to demonstrate your qualifications and experience.

Finally, consider including any relevant projects or experiences you've had working with machine learning and data science, such as building models or analyzing data for a company or organization.

This will help you stand out as a strong candidate and increase your chances of getting an interview.