Data Scientist
Skills
About This Role
Overview
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
Python
- SQL
- Databricks
- Spark
- Docker
- APIs
- Cloud Platforms
- MLflow
- CI/CD
- Power BI
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