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Data Scientist

Job in Stratford-upon-Avon, Warwickshire, CV37, England, UK
Listing for: Zensar Technologies
Full Time, Seasonal/Temporary position
Listed on 2025-10-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Analyst
Job Description & How to Apply Below

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, Tensor Flow, 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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