Senior Data Scientist

Job Role:
Al Futtaim is looking for a Senior Data Scientist to join our team in Dubai, part of a team sitting at the cornerstone of algorithms, mathematics and engineering, a team that is tasked with solving problems by designing and implementing production-ready data science algorithms and machine learning models to manage Risk and help Al Futtaim maintain the advantage in the market.

Job Responsibility:
This position will report to a Head of Data Science and Asset Risk
The senior data scientist is responsible for the development and management of the inhouse predictive and forecasting models that help Al Futtaim manage the Risk and its competitiveness in the market. Also, will be responsible for monitoring and reporting Risk exposures in the UAE as well as International Markets.

Calculate RV Provisions, identify hand-backs as well as their rates, and quantify features impact.
Conduct statistical and quantitative analyses to identify and quantify potential risks. Prepare RV Risk recommendations highlighting the risks and proposing mitigations
Design and develop risk measures, methodologies, and models (RV & SMR Risk)
Define the pull-forward (or backward) strategy to optimize the trade cycle.
Quantify the features importance in Time-to-fail and Mileage-to-fail
Develop other predictive and analytical models using the appropriate methodologies
Recommending actions based on your insights by effectively telling the story that is supported by data through presentations, data visualizations and clear and concise verbal and written communication skills
Building relationships with key stakeholders across Al Futtaim such as IT, Finance, Remarketing, Sales etc.
Coordinating with various stakeholders to help implement recommended actions
Guiding/mentoring other data scientists/analysts on best practices for analysis and data storytelling.
Responsible for the development of the predictive and forecasting models (RV, Equity Mining, SMR, etc.)
Responsible for the full model cycle from experimentation to deployment (ML-Flow), model calibrations to accommodate any drifts and define the post modeling adjustments (PMA) to optimize performance.
Responsible of the Regional and International Asset Risk Monitoring.

Required Skills:
Strong statistics knowledge and quantitative problem-solving skills
Proficiency with open-source ML frameworks (scikit-learn, TensorFlow, RF, xgboost, MLFlow etc.)
Excellent Python, R and SQL programming skills. Familiarity with Azure Databricks is a plus.
Advanced level of MS-Office required. Data visualization tools Power BI, Tableau or Qlik is preferred
BSc or MSc degree in Statistics, Mathematics, Actuarial, Engineering, or a closely related discipline.
Full proficiency in English (mandatory)
5+ years of experience in financial services. Preferably in the Automotive or Captive Finance industries.
5+ years of hands-on experience in Data Science (Machine Learning, NLP, Neural Nets, Time-Series Forecasting, etc.). Supervised and un-supervised learning methods for inference on data patterns.

Key Competencies:
Planning, organizing and time management
Must possess good written and verbal communication skills and be able to effectively communicate with and present to both internal and external stakeholders across all business levels.
Must be an excellent team player, able to establish strong working relationships with stakeholders, colleagues, and business partners.
Must be capable of developing related operational plans as well as detailed project level plans. Must display sound independent time management skills by delivering activity within prescribed timeframes through the effective prioritization of actions across multiple operations and projects

What equips you for the role:

• Bachelor’s degree/University degree or equivalent experience