Senior Data Science Consultant – Econometrics specialist

Epam; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading global provider of digital platform engineering and development services is seeking a Senior Data Science Consultant specializing in econometrics in London. This role involves designing advanced pricing and marketing optimization models, collaborating with cross-functional teams, and using Python for model deployment. The successful candidate will have a passion for data science and the ability to translate complex data into actionable insights.

Benefits

Group pension plan

Private medical and dental insurance

Employee assistance program

Learning and development opportunities

Qualifications

• 5+ years in data science, focusing on pricing and marketing optimization.
• Strong expertise in Bayesian statistics and Python.
• Experience with deployment using cloud platforms.

Responsibilities

• Design and build pricing and marketing optimization models.
• Analyze large datasets for actionable insights.
• Mentor junior team members.

Skills

Bayesian statistics

causal inference

econometric methods

Python

Monte Carlo simulations

Education

Masters degree or higher in a quantitative field

Tools

Azure

Databricks

MLFlow

Airflow

Plotly Dash

Job description

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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