Supply Chain Data Scientist

VWR International; Pune District; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

VWR International is seeking a data science-focused professional to apply advanced analytics to supply chain planning and inventory management. The role emphasizes practical use of data, project leadership, and collaboration across global teams to develop tools, models, and simulations that deliver financial value.

You will source data, validate outputs, and deploy analytical solutions while working with SAP/APO-IBP, SQL, Python/R, and BI tools.

Qualifications

• Degree in Supply Chain Management or APICS CPIM certification.
• 5-7+ years experience in Global Supply Chain and Inventory Management essential.
• Knowledge of planning systems (SAP APO/IBP, OM Partners) and SAP architecture is required.
• Experience with data wrangling, analytics tools, and ETL pipelines.

Responsibilities

• Collaborate with stakeholders to develop analytical tools, optimization models, and simulations.
• Develop replenishment strategies and inventory optimization within distribution networks.
• Support planning teams with data-driven decision support and reporting.

Skills

Project management

Supply chain planning

Data analysis

ETL pipelines

AI-assisted development

Education

Degree in Supply Chain Management

APICS CPIM certification

Tools

SAP APO/IBP

OM Partners

Excel

Power BI

SQL

R/Python

Snowflake

Job description

Job Summary

The purpose of this role is practical application of data science in supply chain planning and inventory management to improve underlaying processes and deliver financial value.

To succeed in this role, you must have multidisciplinary skill set - proven experience in project management and SC planning, knowledge of planning systems (SAP APO/IBP, OM Partners or similar), SAP architecture (underlying tables, transactions) and strong technical and analytical skills.

In this creative role you will have unique opportunity to collaborate with various stakeholders in the global organization working on various improvement initiatives, development of analytical tools, optimization models or supply chain simulations and you need to feel comfortable in each stage of this process (design, develop and deploy) to thrive and succeed.

You are self-starter with hands-on approach and continues improvement mindset working on your own initiative under moderate supervision. You know how to source and use data together with statistical methods and technology to improve processes. It is important you have theoretical knowledge but more important you understand how to use it in practice to add value.

Your nearest assignments will focus on portfolio segmentation, product life cycle management, development of replenishment strategies and inventory optimization within distribution network. All contributing to development of planning tool supporting decision making process for planning teams.

Qualifications

• Degree in Supply Chain Management or APICS CPIM certification and 5-7+ years experience in Global Supply Chain and Inventory Management essential (multi-site, multi-region),
• Degree or certification in Data Science desirable,
• Formal Project Management and problem-solving training desirable, e.g., Six Sigma, Lean.

Knowledge, Skills and Abilities

• Demonstrated ability to select and work with appropriate analytical tools and software (Excel, PBI, relevant libraries in R and Python or SQL) and build ETL pipelines,
• Demonstrated experience using AI-assisted development and automation tools, such as Codex, to accelerate data analysis, code development, documentation, troubleshooting, and creation of analytical tools while applying appropriate validation and governance,
• Ability to critically evaluate AI-generated outputs for accuracy, data quality, business relevance, bias, and operational feasibility before applying them to supply chain planning, inventory optimization, or decision-support processes,
• Demonstrated ability to analyze large data sets and visualize findings,
• Demonstrated ability to wrangle, cleanse and model data from various sources (SAP, .csv, .xlsx, .txt, .parquet, .rds, data lake etc.),
• Proficient in Excel and Power BI (Power Query/M, DAX, relational database model, data visualization); Power BI Data Analyst Associate certification is a plus,
• Knowledge of SQL and R/Python highly desirable,
• Experience working with data warehouse/data lake desirable (experience with Snowflake a plus),
• Knowledge of Statistics and Machine Learning or strong willingness to quickly develop in this area.

Demonstrated ability to analyze large data sets and to prioritise actions for maximum impact.

Ability to develop and deploy short-term tools and reporting capabilities (with quantified accuracy and precision) essential.

Solid written and verbal communication skills, experience in a matrix environment desirable.

Environmental Working Conditions

Typically works in an office environment with adequate lighting and ventilation and a normal range of temperature and noise level.

Work assignments are diversified. Examples of past precedent are used to resolve work problems.

Most aspects of work are timebound and fit into a standard reporting cycle based on the monthly financial reporting calendar. There is an ongoing requirement to work to deadlines and to manage competing priorities.

Minimal physical effort is required. Work is mostly sedentary but does require walking, standing, bending, reaching, lifting or carrying objects that typically weigh less than 10 lbs.