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Zensar Technologies

Data Scientist

Zensar Technologies
United Kingdom · Full-time · Mid-Senior

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.

Key Skills

Ranked by relevance

machine learning deep learning data analysis tensorflow hadoop spark cicd aws
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Posted
Oct 15, 2025
Type
Full-time
Level
Mid-Senior
Location
Stratford-Upon-Avon

Industries

IT Services IT Consulting

Categories

Information Technology

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