Data Scientist

Key Responsibilities:

• Data Preprocessing: Clean, transform, and preprocess structured and unstructured data to prepare it for analysis.
• Predictive Modeling: Design, develop, and deploy predictive models using AI, ML, and Deep Learning algorithms to drive business outcomes.
• Data Analysis: Identify key features, patterns, trends, and insights from complex data sets to inform business decisions.
• Collaboration: Work closely with cross-functional project teams to support multiple project tracks and provide data-driven insights.
• Domain Expertise: Experience working in the Banking or Finance domain is highly desirable.
  

Required Skills:

• Technical Skills:
• Hands-on experience with Statistical Modeling, Machine Learning, and Deep Learning techniques.
• Knowledge of developing Propensity Models and Customer Segmentation.
• Proficiency in Python, R, and SQL programming languages.
• Familiarity with TensorFlow and PyTorch for AI model development.
• Experience with data visualization tools like Power BI or Tableau is a plus.
• Soft Skills:
• Excellent communication and interpersonal skills to effectively interact with stakeholders.
• Ability to work in a fast-paced and collaborative environment.
• Team player with mutual respect for team members, stakeholders, and vendors.
  

Experience and Education:

• Experience: 1-5 years of professional experience in data science and business analytics.
  

Education