We are seeking an experienced Data Scientist to design, develop, and deploy advanced AI/ML models leveraging client pricing datasets. The ideal candidate will have a strong background in statistical modeling, machine learning, and data engineering, with proven experience in building scalable solutions for pricing optimization and predictive analytics.

Key Responsibilities

Model Development:

• Design and implement AI/ML models for pricing optimization, elasticity analysis, and revenue forecasting.
• Apply advanced algorithms (e.g., regression, tree-based models, deep learning) to large-scale pricing datasets.

Data Analysis & Feature Engineering:

• Perform exploratory data analysis (EDA) to identify patterns and anomalies in pricing data.
• Develop robust feature engineering pipelines for model accuracy and interpretability.

Deployment & Integration:

• Collaborate with engineering teams to deploy models into production environments.
• Ensure scalability, performance, and compliance with client requirements.

Stakeholder Collaboration:

• Work closely with pricing analysts, business teams, and client stakeholders to translate business objectives into data-driven solutions.
• Present insights and recommendations through clear visualizations and reports.

Required Skills & Qualifications

Education:

Degree. in Data Science, Computer Science, Statistics, or related field.

Technical Expertise:

• Strong proficiency in Python, R, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with pricing analytics, predictive modeling, and optimization techniques.
• Hands-on experience with SQL, big data platforms (Spark, Hadoop), and cloud services (AWS, Azure, GCP).
• Domain Knowledge:
• Deep understanding of pricing strategies, elasticity modeling, and revenue management.
• Soft Skills:
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in Insurance.
• Familiarity with MLOps and CI/CD pipelines for ML models.
• Knowledge of generative AI or advanced NLP techniques for pricing insights.