Job Description

Location: Gurugram, India

Date Posted: Oct 4, 2025

Description

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work--guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity--are why our people love working at A&M.

The Team

Our Performance Improvement team provides Business Transformation and Performance Improvement Services to Corporates, Investors, and their portfolio companies, delivering -
Performance improvement via cost reduction and revenue growth programmes Large, complex organizational restructuring and business transformation Rapid Results Program, which helps to quickly and effectively assess business process management risks and identify key areas impeding performance

How you will contribute

As Manager of Data Science at A&M GCC PI Supply Chain team, you will contribute across the key areas below:

Python, ML

Develop and automate data pipelines using Python for ingestion, cleansing, and transformation of supply chain data Design predictive analytics models in Python (e.g., demand forecasting, inventory optimization) using libraries such as pandas, scikit-learn, stats models, and Prophet Implement anomaly detection models to flag irregularities in procurement costs, delivery timelines, and inventory movements. Develop end-to-end ETL workflows for integrating data from SAP, SQL databases, and Excel-based trackers. Use Python for simulation of what-if scenarios in logistics, supply planning Hyper Parameter tuning to enhance the performance of models Design A/B tests and apply causal inference techniques for business impact analysis Strong in statistics and probability: hypothesis testing, confidence intervals, and bootstrapping Work with cloud platforms (AWS, GCP, Azure) and tools such as S3, Databricks Create interactive visualizations and dashboards using Plotly, Seaborn, and Power BI for communicating insights

Functional

Process know-how of supply chain planning and Logistics operations Build and deploy statistical and machine learning models (ARIMA, XGBoost, Prophet) for demand forecasting, supply planning and Logistics optimization Hands-on experience with Pyomo, PuLP, OR-Tools, and heuristics for scheduling, routing, and load optimization Build scenarios to analyze how varying key inputs like number of trucks, DC's and Dealers etc. influence the performance of entire network Create interactive dashboards using Power BI and Python for tracking logistics KPIs and operational metrics Present data led cases / scenarios and model outputs to leadership for decision support and implementation readiness

Qualifications

Minimum of 6-11 years of experience in data science / modelling for functions across supply chain, i.e., logistics, transportation, distribution strategy, or downstream supply chain execution roles Hands-on experience of minimum 3-4 years in python with focus on statistical analysis and machine learning Previous advisory experience from a top-tier strategy firm, niche logistics consulting firm, or Big-4 consultancy preferred Bachelor's degree in engineering, logistics, supply chain, or a related field Master's degree in Computer Science / Operations Research / Industrial Engineering is preferred Strong storyboarding skills to translate operational insights into impactful client presentations Excellent communication and interpersonal skills with high motivation to drive logistics transformation Ability to manage multiple logistics-focused engagements and meet tight deadlines Experience in KPI tracking and performance dashboards Strong analytical, quantitative, and root-cause problem-solving skills

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.

Inclusive Diversity

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A&M's entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work--guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity--are the main reasons our people love working at A&M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&M way.

Equal Opportunity Employer

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It is Alvarez & Marsal's practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .

Unsolicited Resumes from Third-Party Recruiters

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Please note that as per A&M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.