Data Science Manager | Al-Futtaim Automotive

Robinson & Co (Singapore) Pte Ltd; Dubai; On-site; AED 300,000 - 600,000; Full time

Job summary

Al-Futtaim Automotive seeks a Data Science Manager to drive finance-focused analytics initiatives, including predictive modeling, dashboards, and strategic insights.

You will lead a team of data scientists, deliver actionable analytics, and collaborate with finance stakeholders to strengthen risk management and financial performance using ML techniques.

Qualifications

• Proficiency in ARIMA and LSTM for predictive analytics.
• Expertise in gradient boosting, ensemble methods, and neural networks.
• Strong statistical and data visualization skills for finance.
• Ability to explain complex concepts to non-technical stakeholders.
• Bachelor's or MSc in related field; 5+ years in data science with finance focus.
• Proficient in Python, SQL, Databricks; familiar with scikit-learn, TensorFlow, PyTorch, ARIMA, SARIMA, Prophet.

Responsibilities

• Implement predictive models such as residual value, credit scoring, delinquency, and collections optimization.
• Deliver at least 2 use cases demonstrating predictive model applications.
• Create financial KPI metrics and risk dashboards using statistical methods.
• Develop and maintain 3 finance dashboards for stakeholders.
• Compute time series decomposition, anomaly detection, and stress testing for insights.
• Produce 3 actionable financial insights monthly to guide decisions.

Skills

ARIMA

LSTM

Gradient boosting

Ensemble methods

Neural networks

Statistical techniques

Data visualization

Non-technical communication

Education

Bachelor's in Financial Analytics

MSc in Financial Analytics

MSc in Computer Science

Tools

Python

SQL

Databricks

scikit-learn

TensorFlow

PyTorch

ARIMA

SARIMA

Prophet

Matplotlib

Seaborn

Plotly

Job description

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Data Science Manager | Al-Futtaim Automotive

• 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.

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.