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Job Description

As a Senior Data Scientist, you will play a crucial role in analyzing complex data sets, developing sophisticated models, and providing strategic insights to drive data-driven decision-making. You need to have hands-on experience in data science, strong problem-solving abilities, and a deep understanding of statistical analysis and machine learning techniques. You will work closely with cross-functional teams to identify business opportunities, design experiments, and deliver actionable recommendations to optimize our operations and drive business growth.
Your Role and Responsibilities

• Analyse large and complex data sets to identify patterns, trends, and insights that can drive business strategy and decision-making
• Develop and implement advanced machine learning algorithms and statistical models to solve complex business problems
• Collaborate with stakeholders to define project objectives, requirements, and success metrics

Required Technical and Professional Expertise

• Strong proficiency in programming languages such as PySpark, Python, R, or Scala, with expertise in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch)
• 7-12 years of experience as a Data Scientist, with a proven track record of successfully delivering data-driven solutions to complex business problems
• Extensive experience in developing and deploying machine learning models, including feature engineering, model selection, and evaluation
• Strong experience in Python and PySpark for data processing and analysis at scale, including familiarity with handling big data and optimizing performance in distributed environments.

Preferred Technical and Professional Expertise

• Familiarity with banking domain concepts, such as customer segmentation, fraud detection, risk assessment, credit scoring, and regulatory compliance. Experience in the Banking and financial services industry
• Proven ability to work effectively in a collaborative, fast-paced environment and manage multiple projects simultaneously

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