Senior Data Scientist – Pricing
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
16-10-2025
Vacancies:
1 Vacancy
Job Summary
About the Role
Were looking for a Senior Data Scientist Pricing to lead the design execution and optimization of pricing and revenue management this role youll drive data-backed decision-making using advanced analytics and machine learning tools to enhance profitability market competitiveness and sustainable revenue growth.
Youll work closely with Sales Marketing Finance and Product teams delivering actionable insights and scalable pricing models that directly impact business performance.
Key Responsibilities
Analyze and consolidate key pricing and commercial metrics including:
Promotion depth and discount impact
Price variance and effective price tracking
Market share and competitor performance
Incremental Gross Margin (IGM) and Trade Margin (TM)
Pocket Price Waterfall and revenue leakage analysis
Price Pack Architecture (PPA) and promotional effectiveness
Distribution and market penetration insights
Develop maintain and scale pricing models dashboards and simulation tools using Python SQL and Databricks.
Automate reporting and analytics pipelines for predictive and prescriptive pricing insights.
Conduct market intelligence and competitive benchmarking to refine pricing strategies.
Recommend optimal list prices discount structures channel pricing and promotion funding allocations.
Execute post-event analyses to assess pricing and promotional ROI against KPIs.
Lead pricing governance ensuring policy adherence and process scalability.
Communicate insights effectively to executive stakeholders through data visualization and storytelling.
Stay updated on emerging pricing technologies market trends and analytical frameworks.
Requirements
Qualifications
- Bachelors degree in Business Economics Finance Mathematics Statistics or related field.(MBA or advanced degree preferred)
5 years of experience in Pricing Strategy Revenue Management or Commercial Finance.
Technical proficiency in:
Python (data analysis modeling automation)
SQL (large-scale data querying)
Data bricks AWS Sage maker or similar big data platforms
Git (version control)
Power BI Tableau or Looker (data visualization)
Experience in:
Pocket Price Waterfall modeling
Promotional effectiveness analysis
Price Pack Architecture (PPA) optimization
Proven ability to lead Monthly Business Reviews (MBRs) and cross-functional initiatives.
Excellent communication and storytelling skills with the ability to translate complex analyses into business impact.
Preferred Skills
Knowledge of dynamic pricing models machine learning applications in pricing and Revenue Growth Management (RGM) frameworks.
Experience with cloud data environments (AWS Azure Data bricks GCP).
Understanding of trade investment optimization and go-to-market strategy.
Industry exposure in FMCG CPG Retail SaaS or eCommerce environments.
Benefits
Why Join Us
Work with cutting-edge data and AI technologies to influence real-world pricing outcomes.
Collaborate with high-performing teams across commercial financial and product functions.
Be part of a culture that values innovation agility and continuous learning.
Salary - 18 LPA
Required Skills:
Required Qualifications Bachelors degree in Computer Science Data Science or a related technical field. 5 years of hands-on experience in data engineering roles. Proven experience with data lake and data warehouse technologies such as: Databricks Apache Spark Azure Data Lake Azure Blob Storage Azure Data Factory ETL Pipelines Spark SQL Strong experience with relational databases (e.g. PostgreSQL MySQL Microsoft SQL Server). Solid background in Python for data manipulation and pipeline development. Hands-on experience with the Azure cloud ecosystem and CI/CD practices. Deep understanding of data modeling principles and data architecture best practices. Preferred/Additional Skills (Nice to Have) Familiarity with DevOps tools and practices. Experience working with Linux environments. Exposure to the Hadoop ecosystem. Understanding of Docker containers and their use in data engineering. Experience optimizing and indexing large-scale datasets for high performance. Soft Skills Strong communication skills (verbal and written) in English. High attention to detail and a technical problem-solving mindset. Ability to work collaboratively with clients and cross-functional teams. Customer-oriented approach with a passion for delivering impactful data solutions. Experience mentoring or leading junior team members is a plus.
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
