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Data Scientist

Zensar Technologies
Stratford-upon-Avon
3 weeks ago
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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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