great opportunity for exposure and growth in an MNC.
ability to directly liaise with stakeholders
about the company
Our client is a premier global enterprise with a massive international presence and an expansive footprint across multiple growth markets. Renowned for continuous innovation and large-scale digital initiatives, the organization offers a dynamic, fast-paced environment rich with career advancement opportunities. As they continue to expand their global operations, you will gain exposure to high-impact strategic projects while benefiting from excellent long-term professional growth.
about the role
- Design, build, and deploy high-impact statistical and machine learning models to solve complex business problems.
- Manage end-to-end data science projects, from exploratory analysis and feature engineering to deployment and performance monitoring.
- Write clean, maintainable Python code for production environments using standard software engineering practices.
- Translate technical insights and recommendations into clear strategy for business leaders and cross-functional teams.
- Mentor junior data team members, fostering technical growth and sharing analytical best practices.
skills and experience
- Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, or equivalent practical experience.
- Minimum 1-2 years of strong track record of developing and deploying machine learning solutions in business settings (customer forecasting and prediction of habits etc)
- Advanced proficiency in Python, machine learning libraries, and cloud platforms (GCP or equivalent).
- Demonstrated ability to communicate technical findings to non-technical stakeholders effectively.
- Proven experience in technical leadership or mentoring junior team members.
To apply online please use the 'apply' function, alternatively you may contact Evangeline.
(EA: 94C3609/ R24124002 )