Data Science & AI Lead, Operations

Tanqeeb

Abu Dhabi

On-site

AED 300,000 - 520,000

Full time

12 days ago
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Job summary

Tanqeeb is seeking a Manager Data Science – Operations in Dubai to lead AI and analytics projects that boost efficiency and drive data-driven decisions. You will oversee model development, KPI reporting, and insights generation across operations, finance, and customer experience, guiding a team of data scientists.

The role emphasizes hands-on ML, statistical analysis, and effective stakeholder communication to deliver measurable business value.

Qualifications

  • Strong expertise in advanced statistics, ML, time series forecasting, regression, classification, clustering, and anomaly detection.
  • Proficiency in Python and SQL; experience with Databricks and ML libraries.
  • 4–5+ years in customer analytics, finance analytics, operations analytics, or data science.
  • Degree in computer science, statistics, data science, or related field.

Responsibilities

  • Deliver AI and data science use cases that improve operational performance.
  • Build and implement predictive models (price elasticity, predictive maintenance, churn, anomaly detection).
  • Develop KPIs and reporting with statistical process control and data visualization.
  • Generate actionable insights through statistical analyses and ML techniques.
  • Collaborate with cross-functional teams to translate data into practical recommendations.
  • Lead data scientists to ensure timely delivery of analytics solutions.

Skills

Statistics & ML
Time series & forecasting
Python
SQL
NLP techniques
Cross-functional collaboration
Stakeholder management

Education

Bachelor's or Master's in CS/Statistics/Data Science

Tools

Databricks
scikit-learn
TensorFlow
PyTorch
ARIMA/SARIMA
Prophet
Plotly/Matplotlib/Seaborn
Spark

Job description

Tanqeeb is seeking a Manager Data Science – Operations in Dubai to lead AI and analytics projects that boost efficiency and drive data-driven decisions. You will oversee model development, KPI reporting, and insights generation across operations, finance, and customer experience, guiding a team of data scientists.

The role emphasizes hands-on ML, statistical analysis, and effective stakeholder communication to deliver measurable business value.

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