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Senior Data Science Consultant – Econometrics specialist, London
Client: Epam
Location: London, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: b2c4c0410c1b
Job Views: 3
Posted: 29.06.2025
Expiry Date: 13.08.2025
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?
Can you communicate efficiently and influence quicker deliveries? If yes, we have a new position for a Senior Data Science Consultant. The successful candidate will play a key role in developing and implementing advanced pricing and marketing optimization models, leveraging expertise in Bayesian statistics, causal inference, econometric methods, and proficiency in 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 analysis
- Lead A/B testing initiatives for measurement and validation
- Analyze large datasets to identify trends and actionable insights
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- Use Python for model development and ensure models are production-ready
- Manage the end-to-end process of deploying models, ensuring scalability and reliability
- Utilize Azure, Databricks, MLFlow, Airflow, and Plotly Dash for deployment and visualization
- Apply domain knowledge in CPG pricing and promotion to improve model relevance
- Work closely with data scientists, engineers, and stakeholders
- Mentor junior team members and share knowledge
Requirements
- Masters degree or higher in a quantitative field (e.g., Computer Science, Statistics, Physics, Mathematics)
- Minimum 5 years of experience in data science, focusing on pricing and marketing optimization
- Expertise in Bayesian, causal inference, and econometric methods
- Strong proficiency in Python and experience deploying models
- Experience with cloud platforms, preferably Azure, Databricks, MLFlow, Airflow, and Plotly Dash
Nice to Have
- PhD in a relevant field
- Experience in the CPG industry, specifically in pricing and promotion optimization
Benefits
- Group pension plan, life assurance, income protection, and critical illness cover
- Private medical and dental insurance
- Cyclescheme, Techscheme, season ticket loans
- Employee assistance program
- Learning and development opportunities, professional training, certifications, well-being programs, LinkedIn Learning, and more
- EPAM Employee Stock Purchase Plan (ESPP)
- Perks like gym discounts, free lunch, massages, social events
- Benefits subject to eligibility and probationary period
About EPAM
- Leading global provider of digital platform engineering and development services
- Committed to positive impact, inclusive culture, and innovation
- Collaborate with diverse, multinational teams on innovative projects
- Opportunities for learning, growth, and discovering your potential