Data Scientist

We are looking for a Data Scientist to join our Technology and Data team. The incumbent must have 5 to 7 years of experience in Data Science, preferably within the Financial Services or Investment industry, and should be passionate about applying machine learning, predictive analytics and quantitative methods to financial and investment challenges.

Requirements

• 5-7 years of experience in Data Science, preferably within the Financial Services or Investment industry
• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Financial Engineering, or a related field
• Data Science / Artificial Intelligence / Machine Learning Certifications (Preferred)
• Experience in building and deploying machine learning and AI models in production environments
• Expertise in Python, SQL, (R optional) and other relevant programming languages for data science and quantitative research
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar)
• Exposure to cloud computing platforms (AWS, Azure etc.) and distributed computing (Spark, Dask etc.)
• Experience with big data technologies (Hadoop, Snowflake, Databricks) and data engineering best practices
• Strong analytical and problem-solving skills with the ability to translate complex investment data into actionable insights
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Ability to manage multiple projects simultaneously and deliver results in a fast-paced environment
• Mentoring capabilities to guide junior data scientists/analysts/engineers

Benefits

• Opportunity to embed data science practices in a purpose-led investment business
• Exposure to diverse investment strategies and real-world financial applications
• A collaborative and innovative team culture
• Flexibility and growth potential in a supportive environment

Tagged as: Python, Snowflake, SQL