Overview
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About Our Client
A leading distribution business in the UAE, recognised for its expansive logistics operations and commitment to innovation.
Job Description
* Develop and deploy predictive models for demand forecasting, inventory optimisation, and customer segmentation.
* Perform exploratory data analysis and statistical modeling to uncover actionable insights.
* Collaborate with business stakeholders to translate problems into data science solutions.
* Build and maintain scalable data pipelines and model deployment frameworks.
* Evaluate model performance and ensure continuous improvement through retraining and tuning.
* Document methodologies and present findings to technical and non-technical audiences.
* Stay updated with industry trends and emerging techniques in machine learning and data science.
The Successful Applicant
* Minimum 5 years\' experience in machine learning, data science, or applied statistics.
* Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow).
* Strong understanding of classical ML techniques, statistical modeling, and data wrangling.
* Experience with cloud platforms (e.g., AWS, Azure) and data engineering tools.
* Excellent problem-solving and communication skills.
* Bachelor\'s or Master\'s degree in Computer Science, Statistics, Mathematics, or related field.
What\u2019s on Offer
* Opportunity to lead high-impact AI and data science projects in a dynamic industry.
* Collaborative work culture with access to cutting-edge tools and technologies.
Contact
Manpreet Kaur
Quote job ref: JN-092025-6824186
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
Industries
* Staffing and Recruiting
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