Data Scientist

We’re looking for a hands-on Senior Data Scientist / ML Engineer to help build and deploy scalable machine learning solutions across financial products.

This is a practical, business-focused role for someone who enjoys taking models from experimentation through to production and working closely with engineering, product, and business teams to drive measurable impact.

What You’ll Do:

• Build and deploy machine learning models for real-world business problems
• Develop end-to-end ML pipelines including data preparation, training, validation, deployment, and monitoring
• Work with large and complex datasets to generate actionable insights
• Partner with engineering teams to productionize models and APIs
• Collaborate with stakeholders across product, risk, operations, and analytics
• Improve model performance, reliability, and scalability
• Contribute to MLOps, automation, and deployment best practices
• Support AI and advanced analytics initiatives across the business

Required Skills & Experience:

• 6+ years of experience in Data Science, Machine Learning, or ML Engineering
• Strong Python and SQL skills
• Experience building and deploying ML models into production environments
• Strong understanding of machine learning fundamentals and model evaluation
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Experience with tools/frameworks such as:
• scikit-learn
• PyTorch or TensorFlow
• Spark or Databricks
• Docker / CI-CD pipelines
• Experience building APIs or production services
• Ability to work with both technical and non-technical stakeholders

Preferred:

• Banking, fintech, or financial services experience
• Experience with customer analytics, fraud, or decisioning models
• Familiarity with MLOps and model monitoring
• Exposure to NLP, LLMs, or Generative AI use cases
• Experience with Airflow, MLflow, Kubernetes, or Hadoop ecosystems

We value people who:

• Take ownership and solve problems end-to-end
• Can balance experimentation with production delivery
• Think commercially and focus on business outcomes
• Communicate clearly and work well across teams
• Enjoy building scalable, reliable systems

Tech Environment

Python • SQL • Databricks • Spark • Docker • APIs • Cloud Platforms • MLflow • CI/CD • Power BI