Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- Data Scientist developing data-driven models at ELEKS Artificial Intelligence Office. Analyzing data and building machine learning models to support insights and forecasting.
Responsibilities
- Develop and improve data-driven models to support forecasting, optimization, and business insights
- Analyze large and complex datasets to identify patterns, trends, risks, and opportunities for improvement
- Design, build, and validate machine learning models for prediction, anomaly detection, and analytical use cases
- Develop and maintain scalable data science workflows and collaborate closely with data engineers, analysts, and other stakeholders
- Translate business problems into analytical approaches and present insights and recommendations
- Support deployment of analytical models and ensure they are reliable, scalable, and maintainable in production environments
- Monitor model performance and continuously refine models based on new data and feedback
- Contribute to knowledge sharing and improvement of data science practices, tools, and methodologies within the team
Requirements
- 5+ years of experience in the data science field working with analytical and machine learning solutions
- Strong Python skills and practical experience with common data science and machine learning libraries
- Experience building predictive models and working with structured and unstructured datasets
- Hands-on experience with anomaly detection, statistical analysis, or advanced analytical techniques
- Experience developing optimization models or analytical solutions for decision support
- Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related analytical field, or equivalent practical experience
- Solid understanding of data science methodologies, statistical modelling, and machine learning concepts
- Experience working with large datasets and applying analytical techniques to derive actionable insights
- Ability to communicate analytical findings clearly to both technical and non-technical stakeholders
- At least an Upper-Intermediate level of English
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