Data Scientist (She/ He/ They)
Core
Design, develop, and enhance predictive models and time series forecasting solutions for financial clients.
Role type
Senior IC data scientist (time series & forecasting)
Builds
Production forecasting models and predictive analytics solutions
Domain
Financial services consulting
Deliverable
production ML models
Required skills
Python, time series forecasting, statistical modelling, machine learning, data analysis, feature engineering, model validation, large-scale data processing
Preferred skills
Azure Machine Learning, Databricks, R programming, MLOps, CI/CD pipelines, geospatial data analytics
Technologies
Python, Azure Machine Learning, Databricks, R, Git
Responsibilities
Develop, validate, and optimize advanced time series forecasting and predictive models; Utilize Python for data analysis, feature engineering, statistical modelling, and machine learning development; Build and deploy machine learning solutions using Azure Machine Learning and Databricks; Implement and maintain MLOps processes to enable efficient model deployment, monitoring, and lifecycle management; Work closely with business stakeholders to understand requirements and translate them into scalable data science solutions; Create clear documentation and communicate modelling outcomes and recommendations to technical and non-technical audiences.
Seniority
Senior, hands-on IC
