We are looking to recruit for a Manger role for our e& international team to be located in Dubai.

Job Purpose and Role:

Deliver end-to-end analytics engagements for clients to generate revenue objectives for e& International. A quality focused professional with a consulting mindset and strong technical skills to deliver data science projects. Develop and Manage state of the art predictive models that use data at scale to drive CVM Activities across clients. Act as the bridge between the analytics CoE lead and the team of data scientists.

Strategic and Operational Responsibilities

•Support AA CoE leadership in identifying and implementing multiple machine learning models for different clients to drive CVM activities

•Contribute to CVM Activities by developing multiple ML models across different commercial pillars of CVM including Segmentation, ML Driven Product Recommendation Engine, Churn Management, Customer Experience, Offer Design & Pricing, Campaign Prioritization and Execution

•Conduct analytics maturity assessment for clients to design & recommend engagement roadmap

•Deliver Technical Specifications requirements to implement analytical solutions in the client environment

•Superior analytical and critical thinking skills and focus on intellectual rigor

•Project Management and delivery skills including client relationship management, drafting requirements, coordinating with different technical teams, enabling technical expertise to team members

•Highly collaborative and able to effectively partner with executives at all levels

•Strong track record of success in managing and working with high performing/quality teams

•Significant experience in International Telecom consulting or with a Global Telecom Operator, or in sectors like Banking, Insurance, Retail

Technical Responsibilities

•Translating the business requirements from stakeholders to the team of data scientists

•Experience in designing, developing, & deploying models across different types of use cases

•Structuring the approach and deliverables for multiple analytics models simultaneously

•Experience in applying basic and advanced machine learning techniques for predictive modelling i.e. feature engineering, model creation, evaluation and deployment in production environment

•Worked in implementing analytical solutions across different areas like demand forecasting, customer analytics, clustering, IoT analytics, market mix modeling, churn prediction, workforce optimization etc.

•Advanced knowledge of Machine Learning algorithms (like SVM, Logistic regression, decision trees, market basket analysis, time series forecasting), Natural Language Processing, Deep Learning, Graph Analytics & linear programming

•Minimum 8+ years’ experience with proficiency in programming languages like Python/R/SAS for Data Science use cases

•Ability to write clean, elegant and maintainable production-level codes and experience in version control

•Experience in data warehouse and mining tools like Teradata/DB2/MySQL/MS Access

•Hands-on experience in cloud platforms like AWS, Google Cloud Platform (GCP), Azure

•Experience in Digital Analytics (Google analytics) will be an advantage

•Experience in end-to-end deployment of data science/ML applications and implementation of ML-Ops

Job Requirements:

Post Graduation degree with 8 years of experience.

At Etisalat diversity is our strength and we are committed to creating an inclusive environment for all. We welcome and encourage all people to apply, regardless of gender, background, age and abilities. If you are a person of determination and require an adjustment or accommodation to the selection process, please send your request to DiversityEquity&[Click to show email]