Data Scientist

Talent Acquisition Executive - UK/Europe at Zensar Technologies

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

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).

Deep understanding of pricing strategies, elasticity modeling, and revenue management.

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.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting

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