Data Science Manager | Al-Futtaim Automotive

Al-Futtaim; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Al-Futtaim in Dubai is seeking a Manager Data Science - Finance to lead financial analytics initiatives and oversee a team of data scientists.

You will build predictive models (ARIMA/LSTM), create finance dashboards, and generate insights to support strategic decisions.

Applicants should have 5+ years in data science with finance focus and strong Python/SQL skills, plus experience with Databricks and ML libraries.

Qualifications

• Bachelor's or MSc in Financial Analytics, Computer Science, or related field.
• 5+ years of experience in data science and analytics with a strong focus on finance.
• Proficient in Python, SQL, Databricks; experienced with ML libraries including scikit-learn, TensorFlow, PyTorch, ARIMA, SARIMA, and Prophet.
• Hands-on experience with MLOps, Git, and data visualization tools like Matplotlib, Seaborn, and Plotly.

Responsibilities

• Lead the execution of financial data science projects and manage a team of data scientists.
• Develop predictive models, dashboards, and KPI metrics to drive financial insights.
• Communicate actionable analytics and risk assessments to stakeholders.

Skills

ARIMA & LSTM modelling

Gradient boosting

Statistical analysis

Communication to non-technical

Education

Bachelor's or MSc in Financial Analytics/CS

Tools

Python

SQL

Databricks

scikit-learn

TensorFlow

PyTorch

ARIMA

SARIMA

Prophet

MLOps

Git

Plotly

Matplotlib

Seaborn

Job description

Overview Of The Role

The Manager Data Science - Finance is responsible for leading the execution of financial data science projects aimed at enhancing financial performance and managing risk through the application of advanced analytics and machine learning techniques. The role involves overseeing a team of data scientists, implementing predictive models, developing dashboards and KPI metrics, and generating financial insights that drive strategic decisions. Success in this role is measured by the ability to deliver actionable analytics solutions that align with business objectives.

What You Will Do

Predictive Modeling

• Implement various predictive models including residual value prediction, credit scoring, delinquency prediction, and collections optimization to improve financial performance and risk management.
• Deliver at least 2 use cases successfully demonstrating the application of predictive models.

Data Visualization and KPI Development

• Create financial KPI metrics and risk dashboards using statistical techniques and data visualization libraries.
• Develop and maintain 3 comprehensive finance-related dashboards that provide actionable insights to stakeholders.

Financial Insights and Analysis

• Generate and communicate financial insights by leveraging techniques such as time series decomposition, anomaly detection, and stress testing.
• Produce 3 actionable financial insights monthly to aid decision-making and strategy formulation.

Required Skills To Be Successful

• Proficiency in modeling techniques such as ARIMA and LSTM networks for predictive analytics.
• Expertise in machine learning methods including gradient boosting, ensemble methods, and neural networks.
• Strong skills in statistical techniques and data visualization for financial analysis and modeling.
• Ability to effectively communicate complex technical concepts to non-technical stakeholders.

What Qualifies You For The Role

• Bachelor's or MSc in Financial Analytics, Computer Science, or related field.
• 5+ years of experience in data science and analytics with a strong focus on finance.
• Proficient in Python, SQL, Databricks, and experienced with machine learning libraries including scikit-learn, TensorFlow, PyTorch, ARIMA, SARIMA, and Prophet.
• Hands-on experience with MLOps, Git, and data visualization tools like Matplotlib, Seaborn, and Plotly.