Data Scientist

Talent Acquisition Executive - UK/Europe at Zensar Technologies We are seeking an experiencedData Scientistto design, develop, and deploy advancedAI/ML modelsleveraging 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 ResponsibilitiesDesign 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 EngineeringPerform exploratory data analysis (EDA) to identify patterns and anomalies in pricing data.Develop robust feature engineering pipelines for model accuracy and interpretability.Deployment & IntegrationCollaborate with engineering teams to deploy models into production environments.Ensure scalability, performance, and

compliance with client requirements.Stakeholder CollaborationWork 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 ExpertiseStrong proficiency inPython ,R , and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).Experience withpricing analytics ,predictive modeling , andoptimization techniques .Hands-on experience withSQL ,big data platforms(Spark, Hadoop), andcloud services(AWS, Azure, GCP).Deep understanding ofpricing strategies , elasticity modeling, and revenue management.Excellent communication and stakeholder management skills.Preferred QualificationsExperience inInsurance .Familiarity withMLOpsand CI/CD pipelines for ML models.Knowledge ofgenerative AIoradvanced NLP techniquesfor pricing insights.Seniority level:Mid-Senior levelEmployment type:Full-timeJob function:Information TechnologyIndustries:IT Services and IT Consulting#J-18808-Ljbffr