Senior Banking ML Scientist – Pricing & Propensity (Relocation)
Open Data Science
Doha
On-site
QAR 291,226 - 364,033
Full time
14 days+
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Benefits offered by this job
Relocation package
Modern office in central Doha
Job summary
Open Data Science is looking for a Senior Data Scientist in Doha, Qatar, responsible for developing advanced machine learning models tailored for banking applications. The ideal candidate will possess a strong background in statistical modeling, experience with Python and SQL, and a deep understanding of banking products and financial services. This role requires delivering actionable ML solutions for pricing optimization and customer insights while collaborating with cross-functional teams. A master's degree and over 8 years in data science are preferred.
Qualifications
Deep experience in banking or financial services industry is mandatory.
8+ years of experience in data science or quantitative analysis roles.
Proven track record of delivering ML models.
Responsibilities
Design and develop machine learning models for pricing optimization.
Build propensity models for customer behavior prediction.
Develop recommendation systems for personalized offerings.
Skills
Expert knowledge of supervised and unsupervised learning techniques
Deep experience with pricing models and propensity modeling
Strong foundation in statistical analysis
Python for data analysis
SQL - Advanced user
Experience with data visualization tools
Agile methodologies experience
Education
Master's degree or PhD in Finance, Economics, Statistics, Mathematics
Tools
TensorFlow
PyTorch
pandas
scikit-learn
XGBoost
Spark
Git
Job description
Open Data Science is looking for a Senior Data Scientist in Doha, Qatar, responsible for developing advanced machine learning models tailored for banking applications. The ideal candidate will possess a strong background in statistical modeling, experience with Python and SQL, and a deep understanding of banking products and financial services. This role requires delivering actionable ML solutions for pricing optimization and customer insights while collaborating with cross-functional teams. A master's degree and over 8 years in data science are preferred.