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Senior Data Science Consultant – Econometrics specialist, Newcastle upon Tyne
Client: Epam
Location: Newcastle upon Tyne, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: e735cef7b5b0
Job Views: 7
Posted: 22.06.2025
Expiry Date: 06.08.2025
Job Description:
About the Role
Are you passionate about Data Science? Do you enjoy working with both technical and business stakeholders to translate vision and designs into sustainable, customer-focused solutions? If yes, we have a new position for a Senior Data Science Consultant. The successful candidate will be a key player in developing and implementing advanced pricing and marketing optimization models, leveraging Bayesian statistics, causal inference, econometric methods, and Python to deliver impactful insights in the CPG domain.
Responsibilities
* Design and build sophisticated pricing and marketing optimization models using Bayesian, causal inference, and econometric approaches
* Develop optimization models and employ Monte Carlo simulations for robust analysis
* Lead A/B testing initiatives for accurate measurement and validation of models
* Analyze large datasets to identify trends, patterns, and actionable insights
* Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
* Proficiently use Python for model development and ensure models are production-ready
* Manage the end-to-end process of deploying models to production, ensuring scalability and reliability
* Utilize Azure, Databricks, MLFlow, Airflow, and Plotly Dash for deployment and visualization
* Apply domain knowledge in CPG pricing and promotion optimization
* Work closely with data scientists, engineers, and business stakeholders
* Mentor junior team members and contribute to team knowledge sharing
Requirements
* Masters degree or higher in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics)
* Minimum of 5 years of experience in a data science role focused on pricing and marketing optimization
* Proven expertise in Bayesian, causal inference, and econometric methods
* Strong proficiency in Python and experience deploying models to production
* Experience with cloud platforms, preferably Azure, Databricks, MLFlow, Airflow, and Plotly Dash
Nice to have
* PhD in a relevant field
* Prior experience in the CPG industry, specifically in pricing and promotion optimization
Our Benefits Include
* A competitive pension plan and protection benefits including life assurance, income protection, and critical illness cover
* Private medical insurance and dental care
* Cyclescheme, Techscheme, and season ticket loans
* Employee assistance program
* Learning and development opportunities, including training, certifications, well-being programs, and LinkedIn Learning
* EPAM Employee Stock Purchase Plan (ESPP)
* Perks such as gym discounts, free in-office lunch, massages, and social events
About EPAM
* EPAM is a leading provider of digital platform engineering and development services, committed to positive impact, diversity, and innovation. Join a global community to collaborate, learn, and grow in a dynamic environment.
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