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
At A&M GCC, Supply Chain and Manufacturing professionals assist our clients in analyzing manufacturing operations, supply chain and distribution channels, procurement, SG&A operations and Operating model effectiveness for potential value creation opportunities and to help drive them during our client’s ownership. From our thorough fact-based analysis, we assess the state of current operations, identify performance improvement opportunities and quantify potential EBITDA improvement areas across plan, source, make and deliver functions
Our Supply Chain and Manufacturing team under Performance Improvement vertically is growing significantly and hence we are seeking a highly motivated Senior Associate who can support supply chain transformation engagements through data analytics, modelling, and operational analysis. The individual will work closely with senior leadership and client teams to deliver actionable insights and support performance improvement initiatives
How you will contribute
1. Skills – Python, ML
- Develop and automate data pipelines using Python for ingestion, cleansing, and transformation of supply chain data
- Support development and enhancement of predictive analytics models in Python (e.g., demand forecasting, inventory optimization) using libraries such as pandas, scikit-learn, stats models, and Prophet
- Develop and maintain anomaly detection models to identify irregularities in procurement costs, delivery timelines, and inventory movements.
- Development of ETL workflows for integrating data from SAP, SQL databases, and Excel-based trackers.
- Use Python for simulation of what-if scenarios in logistics and capacity planning
- Hyper Parameter tuning to enhance the performance of models
2. Demand & Supply Planning
- Strong Experience in demand planning and supply planning processes including forecasting, supply planning, production planning, scheduling, and data analysis.
- Performed demand pattern analysis and segmentation to develop the right forecasting strategy.
- Experience working with statistical forecasting, machine learning models, and supply planning optimization techniques.
- Support forecast aggregation/disaggregation activities and monitor forecast performance metrics.
3. Logistics, Transportation planning
- Conduct as-is logistics network diagnostics including transport lanes, DC locations, lead times, and costs
- Develop and support optimization models for production scheduling, routing, and load planning using tools such as PuLP, Pyomo, Heuristics, and OR-Tools.
- Analyze opportunities for logistics network optimization and process improvement.
- Model future-state scenarios for network expansion, last-mile agility, and service level improvements
- Analyze the current transportation / logistics operations and identify gaps by doing various statistical approaches
4. Logistics Analytics & Reporting
- Developed MIS dashboards on logistics cost, delivery performance, service level adherence, and transit lead times
- Implemented RCA frameworks to identify recurring fulfilment bottlenecks
- Assist in benchmarking logistics KPIs across regions/sites and identifying improvement opportunities.
5. Manufacturing Analytics
- Analyse production planning, scheduling, and capacity data to identify inefficiencies in make operations across plan-to-produce cycles
- Develop models to track and improve key manufacturing KPIs — OEE, scrap rate, yield variance, and labour productivity — using plant-level ERP and MES data
- Support client engagements on downtime root cause investigation, line balancing, and production throughput optimisation
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
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
MBA / Master’s degree in supply chain & Operations, Logistics, Business Administration, or similar discipline is preferred
Hands-on experience in Python with focus on statistical analysis, machine learning, and data modelling
Strong analytical and storyboarding skills to translate operational insights into client-ready presentations and recommendations
Excellent communication and interpersonal skills with the ability to work effectively across global teams and client environment
Ability to support multiple engagements simultaneously and deliver high-quality work within tight timelines
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.
At Alvarez & Marsal, our core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity guide everything we do, shaping a culture rooted in entrepreneurship, impact, and integrity. We trust our people to take ownership early, contribute to meaningful challenges, and drive results that matter. We empower growth and champion diverse perspectives. Above all, we value doing the right thing. For those ready to roll up their sleeves, lead with integrity, and be difference makers, this is where it starts.
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. Employees and Applicants can find A&M policy statements and additional information by region here.
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.
