Cvm Data Insights Manager

2 months ago


UAE, United Arab Emirates du Full time

**Key Accountabilities**:

- Develop and deploy predictive insight models across segment to identify customer behavior patterns, predict churn, and maximize cross-sell and upsell opportunities across product portfolio.
- Develop and deploy AI/ML adaptive models within the PEGA platform to support real-time predictive scores and arbitration across strategies, offers, treatments and channels.
- Continuously monitor the performance of data models, ensuring accuracy and effectiveness, and update them with new data as required.
- Refine and enhance data variables by analyzing new data sources and incorporating additional features to improve model accuracy.
- Collaborate with data engineers and analysts to ensure seamless integration of data models within CVM initiatives.
- Provide insights and recommendations to stakeholders based on model outputs, contributing to the strategic direction of the CVM team. Stay informed about advancements in data science and contribute to the implementation of innovative techniques within the CVM domain.

**Qualifications, experience and skills and competencies**:
**Qualifications**:

- Bachelor’s Degree in Information Technology, Computer Science or Mathematical domain
- Master’s degree is a plus.

**Experience**:

- Proven experience in developing AI/ML models for customer behavior analysis including but not limited to, churn prediction, and cross-selling/upselling.
- Proficiency in programming languages such as Python, R, or similar tools for data modeling and analysis
- Strong analytical skills and attention to detail in refining data variables and assessing model performance.
- Excellent communication and collaboration skills to work effectively in cross-functional teams.
- Experience of PEGA Predictive Studio is a plus.
- Familiarity with customer value management concepts and strategies is advantageous.
- Experience with tools such as TensorFlow, RapidMiner, scikit-learn, or similar libraries is beneficial.

**Skills**:

- Keen attention to detail, Problem Solving and strong Analytical Skills
- Communication & negotiation skills
- Flexibility to change.
- Project & management


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