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
