117 Cplex Jobs

Position Title Data Scientist II Function/Group Digital & Technology Location Mumbai India Shift Timing 11 AM – 8 PM Role Reports to Manager Data Science Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link Purpose of the role General Mills, Digital and Technology India, is seeking a Data ScientistII to join the Data Science team in the Enterprise Data Capabilities function. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, optimization, price optimization, logistics, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills. Key Accountabilities Deliver on business problems: Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Develops AI solutions leveraging the best practices and enables maintainability and scalability. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed. Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders. Recognizes opportunities to apply external industry trends and implements them within role. Consultation Lead Interactions with stakeholders to learn on problem statement and drive results. Be an advocate for data science team. Constructively challenge the other data scientists on approach Contribute to best practices as we evaluate new platforms, tools and pipelines. Stakeholder Management Manage the assigned priorities, assigned tasks and consistency of execution. Develop trust and credibility with business leaders. Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability. Collaboration Works on problems of diverse scope. Demonstrates good judgment in selecting methods and techniques. Networks with senior internal and external personnel in own area of expertise. Lead research work to new analytic trends aligned to business. Demonstrates learning agility and ability to apply to work. Leverage and contribute to new open-source innovation. Minimum Qualifications Minimum qualification- bachelor’s degree (full time) Total analytics experience required 6-9 Years. Bachelor’s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute. 3+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution Proven implementation of ML and AI practices Expertise in supervised ML algorithms, Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus. Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups. Bachelor’s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute. Must - Have Technical Skills And Experience (Expertise in at least one among section1 and/or section2) Section1-Operations Research(Optimization and simulation) Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming and discrete event simulation problems Must have hands on experience in solving enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem. Should be comfortable in designing own heuristic algorithms or implementing any known heuristic approach. Have worked in areas like network optimization, cutting stock, knapsack kind of problems, monte carlo and discrete event simulation Must have worked in at least a couple of major commercial/open source OR tools and software like python, Google OR tools , IBM Ilog Cplex, Gurobi, AIMMS, FICO express etc Section-2- AI/ML Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning Proven implementation of ML and AI practices Exposure to unsupervised learning and NLP Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization. Proficiency on Cloud Platform( GCP preferable), SQL, Python and R

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. In connected supply chain at PwC, you will focus on optimising supply chain operations and improving endtoend visibility and collaboration. You will work closely with clients to analyse supply chain processes, identify areas for improvement, and develop strategies to enhance efficiency, reduce costs, and increase responsiveness. Working in this area, you will provide guidance on technology and data analytics to create a connected and agile supply chain network. & Summary A career in our Supply Chain Management practice, will provide you with the opportunity to help our clients optimize all elements of their supply chain to move beyond the role of a costeffective business enabler and become a source of competitive advantage. We focus on product innovation and development, supply chain planning and execution, procurement and sourcing, manufacturing operations, logistics and warehousing, digital technologies to drive both topline growth and profitability. You ll be a part of a team that helps organisation s in transforming their supply chains into a strategic asset. You ll work with our clients to develop a supply chain strategy, optimise their supply chain footprint and logistics, manage transportation and distribution, develop integrated business planning solutions, and leverage digital to make it future ready. Responsibilities Demonstrate thorough knowledge of industry best practices, business process, o9 s solutions, technical architecture and value proposition. Lead the complete lifecycle of a project from design to delivery of o9 s solutions to customers across industries and geographies. Understanding of our customer s requirements by leading workshops with functional and business owners of the processes and documenting it. Effectively map the business requirements into o9 s platform and come up with a clear, phased achievable blueprint. Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process. Plan, develop and deliver Super User and End User training, for a global user base. Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. Support customer demonstrations. Be a mentor and guide to junior members. Mandatory skill sets 7 years of experience with implementing supply chain planning applications is a MUST. 2 implementations Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, TSQL or similar is desirable. Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation. Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure. Ability to analyse and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Preferred skill sets 10-15 years of experience in Supply Chain and in Supply Planning o9 Experience in Working with the o9 Supply Planning, Scheduling Configuring UIs, setting up rules, users etc on the Supply Planning Good understanding of o9 solver and inventory module Working with planners / endusers on user acceptance testing Understanding of key Supply Planning concepts Good to have End to End implementation experience 1 or 2 Years of experience required 7 10 Years Education qualification B.Tech/B.E/M.Tech/M.E/MBA/MCA

Lead Simulation Engineer – Digital Twin Simulation & Network Optimization This position will be based in India – Bangalore/Pune Job Summary We are looking for a Lead Simulation Engineer to spearhead our efforts in Digital Twin Simulation and Network Optimization . In this senior role, you will architect, design, and oversee the development of advanced simulation and optimization models to enhance global logistics, warehouse operations, and supply chain network efficiency. You will lead a team of engineers, mentor junior members, and collaborate cross-functionally with product, data, and operations teams to deliver scalable, high-impact solutions. The ideal candidate combines deep technical expertise in simulation and optimization with leadership skills and a strategic mindset to drive innovation and operational excellence. Key Responsibilities Technical Leadership: Define the vision, architecture, and roadmap for simulation and optimization initiatives, ensuring scalability and alignment with business goals. Model Development: Lead the design and implementation of digital twin simulations for warehouse, logistics, and supply chain systems. Optimization Strategy: Drive the creation of advanced network optimization models to improve flows, resource allocation, and performance at scale. Collaboration & Integration: Partner with business stakeholders, data engineers, and operations teams to embed simulation-driven insights into decision-making and daily workflows. Mentorship & Guidance: Coach, mentor, and upskill junior simulation engineers, fostering technical excellence and innovation. Quality & Delivery: Establish best practices for coding, testing, and documentation to ensure robust and maintainable solutions. Insights & Communication: Present findings, optimizations, and recommendations to senior leadership in both technical and business terms. Innovation: Explore and evaluate emerging techniques (AI/ML-enhanced simulations, real-time twins, advanced heuristics) to push boundaries in simulation-driven decision support. Must-Have Technical Skills Python Expertise: Advanced proficiency in OOP, algorithms, data structures; writing scalable, modular, testable code. Data Handling & Computation: pandas, NumPy for large-scale data analysis and numerical simulations. Data Integration: Proficient in REST APIs (requests) and SQL for data ingestion. Discrete-Event Simulation: Expertise in DES principles with SimPy, modeling large, complex systems (warehousing, logistics, supply chains). Optimization & Operations Research: Strong background in LP/MIP, solving large-scale VRP/assignment problems with OR-Tools, Pyomo, or PuLP. Graph Analytics: Advanced use of NetworkX for analyzing supply chain topologies and flows. Software Engineering Practices: Git, CI/CD pipelines, Docker, and cloud-native development. API Development: Designing and deploying REST services (Flask, FastAPI) for scalable simulation integration. Visualization: Building dashboards/plots with Matplotlib, Seaborn, or Plotly to communicate insights effectively. Nice-to-Have Technical Skills Advanced Optimization: Commercial solvers (Gurobi, CPLEX) with Python APIs; heuristics and meta-heuristics for VRP and complex routing. ML-Enhanced Simulations: Using scikit-learn, TensorFlow, or PyTorch for predictive and adaptive modeling. Alternative Simulation Paradigms: Agent-based or hybrid modeling approaches. Streaming & IoT: Real-time data processing with Kafka, MQTT for live digital-twin updates. Geospatial Analytics: Tools like GeoPandas, Shapely, OSRM, Google Maps APIs for route optimization and visualization. Interactive Dashboards: Dash or Streamlit for simulation/optimization interfaces. 3D Visualization: PyVista, Vedo, or similar libraries for advanced digital-twin visualizations. Who You Are 10+ years of experience in simulation, optimization, or applied operations research, with at least 3+ years in a lead or managerial role. Proven success in leading cross-functional simulation/optimization projects that directly impacted operations or logistics. Strong problem-solving, analytical, and decision-making skills with the ability to balance technical depth and business impact. Excellent communication and leadership skills, with the ability to influence both technical teams and business stakeholders. Passionate about innovation, continuous improvement, and building next-generation digital twins for global-scale systems. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Manager Job Description & Summary At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. In connected supply chain at PwC, you will focus on optimising supply chain operations and improving end-to-end visibility and collaboration. You will work closely with clients to analyse supply chain processes, identify areas for improvement, and develop strategies to enhance efficiency, reduce costs, and increase responsiveness. Working in this area, you will provide guidance on technology and data analytics to create a connected and agile supply chain network. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career in our Supply Chain Management practice, will provide you with the opportunity to help our clients optimize all elements of their supply chain to move beyond the role of a cost-effective business enabler and become a source of competitive advantage. We focus on product innovation and development, supply chain planning and execution, procurement and sourcing, manufacturing operations, logistics and warehousing, digital technologies to drive both topline growth and profitability. You’ll be a part of a team that helps organisation’s in transforming their supply chains into a strategic asset. You’ll work with our clients to develop a supply chain strategy, optimise their supply chain footprint and logistics, manage transportation and distribution, develop integrated business planning solutions, and leverage digital to make it future ready. Responsibilities: · Demonstrate thorough knowledge of industry best practices, business process, o9’s solutions, technical architecture and value proposition. · Lead the complete lifecycle of a project from design to delivery of o9’s solutions to customers across industries and geographies. · Understanding of our customer’s requirements by leading workshops with functional and business owners of the processes and documenting it. · Effectively map the business requirements into o9’s platform and come up with a clear, phased achievable blueprint. · Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. · Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process. · Plan, develop and deliver Super User and End User training, for a global user base. · Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. · Support customer demonstrations. · Be a mentor and guide to junior members. Mandatory skill sets: · 7 years of experience with implementing supply chain planning applications is a MUST. 2 implementations · Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. · Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. · Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable. · Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation. · Strong ability to lead by example and demonstrate proficiency in both product and domain. · Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure. · Ability to analyse and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Preferred skill sets: · 10-15 years of experience in Supply Chain and in Supply Planning o9 · Experience in · Working with the o9 Supply Planning, Scheduling · Configuring UIs, setting up rules, users etc on the Supply Planning · Good understanding of o9 solver and inventory module · Working with planners / end-users on user acceptance testing · Understanding of key Supply Planning concepts · Good to have - End to End implementation experience - 1 or 2 Years of experience required: 7 - 10 Years Education qualification: B.Tech/B.E/M.Tech/M.E/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Structured Query Language (SQL) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Business Planning, Coaching and Feedback, Communication, Cost Accounting, Cost Management, Creativity, Design for Flexibility, Distribution Channel Optimization, Embracing Change, Emotional Regulation, Empathy, Establishing Inventory Levels, Financial Management, Inclusion, Intellectual Curiosity, Inventory Management, Learning Agility, Logistics Management, Manufacturing Operations Management, Market Trends {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a SAP consulting generalist at PwC, you will focus on providing consulting services across various SAP applications to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of SAP applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career in our Supply Chain Management practice, will provide you with the opportunity to help our clients optimize all elements of their supply chain to move beyond the role of a cost-effective business enabler and become a source of competitive advantage. We focus on product innovation and development, supply chain planning and execution, procurement and sourcing, manufacturing operations, logistics and warehousing, digital technologies to drive both topline growth and profitability. You’ll be a part of a team that helps organisation’s in transforming their supply chains into a strategic asset. You’ll work with our clients to develop a supply chain strategy, optimise their supply chain footprint and logistics, manage transportation and distribution, develop integrated business planning solutions, and leverage digital to make it future ready. Responsibilities: · Demonstrate thorough knowledge of industry best practices, business process, o9’s solutions, technical architecture and value proposition. · Lead the complete lifecycle of a project from design to delivery of o9’s solutions to customers across industries and geographies. · Understanding of our customer’s requirements by leading workshops with functional and business owners of the processes and documenting it. · Effectively map the business requirements into o9’s platform and come up with a clear, phased achievable blueprint. · Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. · Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process. · Plan, develop and deliver Super User and End User training, for a global user base. · Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. · Support customer demonstrations. · Be a mentor and guide to junior members. Mandatory skill sets: · 4+ years of experience with implementing supply chain planning applications is a MUST. 2 implementations · Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. · Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. · Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable. · Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation. · Strong ability to lead by example and demonstrate proficiency in both product and domain. · Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure. · Ability to analyse and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Preferred skill sets: · 3 to 5 years of experience in Supply Chain and in Supply Planning o9 · Experience in · Working with the o9 Supply Planning, Scheduling · Configuring UIs, setting up rules, users etc on the Supply Planning · Good understanding of o9 solver and inventory module · Working with planners / end-users on user acceptance testing · Understanding of key Supply Planning concepts · Good to have - End to End implementation experience - 1 or 2 Years of experience required: 4 - 7 Years Education qualification: B.Tech/B.E/M.Tech/M.E/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Chartered Accountant Diploma, Master of Engineering, Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills O9 Software, SAP FICO, SAP Implementations Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Application Software, Business Model Development, Business Process Modeling, Business Systems, Communication, Creativity, Developing Training Materials, Embracing Change, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Innovative Design, Intellectual Curiosity, IT Infrastructure, Learning Agility {+ 18 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

As a Senior Functional Consultant specializing in Demand Planning at o9 Solutions, you will play a crucial role in leveraging your extensive knowledge to drive business value and ensure operational excellence. Your responsibilities will include: - Demonstrating a deep understanding of industry best practices, o9's solutions, and technical architecture, with a specific focus on Demand Planning. - Ensuring the usability and uptime of solutions by promptly resolving customer issues, maintaining data accuracy, and validating end-to-end workflows for demand forecasting. - Collaborating with other consultants to identify design issues and address business problems related to demand planning. - Serving as the primary point of contact for platform upgrades, patches, and enhancements specific to demand planning modules. - Configuring the o9 platform to address post-go-live change requests and enhancements, with a focus on demand forecasting and supply chain optimization. - Developing and executing workflow and data analytics test cases for demand planning, as well as managing bug tracking and resolution processes. - Leading training sessions for Super Users and End Users on global demand planning operations. - Actively contributing to process improvement and feature development based on customer feedback by working closely with development and operations teams. To excel in this role, you should possess: - 5-10 years of experience in implementing supply chain planning applications, with a strong emphasis on Demand Planning. - Proven expertise in leading full lifecycle implementations across various planning platforms, particularly on complex projects and strategic initiatives. - A deep understanding of advanced supply chain planning concepts such as Demand Management, Supply Planning, Demand Forecasting, S&OP, and Inventory Optimization. - Proficiency in configuring and optimizing supply chain solutions to enhance operational efficiency. - Advanced technical skills in SQL, MDX, T-SQL, or similar database and query languages, as well as statistical, optimization, and simulation tools like R, SAS, and CPLEX. - Familiarity with leading ERP and SCM applications, demonstrating the ability to manipulate complex data models. - Exceptional leadership and communication skills to mentor junior consultants, lead project teams, and effectively communicate solutions to stakeholders at all levels. Join us at o9 Solutions and make a significant impact on demand planning processes and operational excellence.,

IRIS Data Engineer – (Azure & Snowflake, Python, SOX, CPLEX /Gurobi) Job Location: 100% remote India Job Duration: 6 Months and Hrs/Wk:40.00 Position is 100% remote, seeking folks offshore or nearshore as long as they can work US core business hour As IRIS Data Engineer, you will work with Data Scientists and Data Architects to translate prototypes into scalable solutions. A degree is not required, as long as they have the right skillset and can commit to the work/projects assigned. • There will likely be 2 rounds of interviews for this position. Key Skills Required • Programming: Python, SQL, Spark • Cloud Platforms: Azure, Snowflake • Data Tools: DBT, Erwin Data Modeler, Apache Airflow , API Integrations, ADF • Governance: Data masking, metadata management, SOX compliance • Soft Skills: Communication, problem-solving, stakeholder engagement Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi. Key Responsibilities: 1. Data Pipeline Design & Development Data Engineers are responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs. This includes: • Integration of structured and unstructured data from various sources into data lakes and warehouses. • Build and maintain scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake and Azure SQL Server, control -M. • Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases. • Design, develop, and optimise DBT models to support scalable data transformations. 2. Cloud Platform Engineering They operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies. • Manage environments, performance tuning, and configuration for cloud-native data solutions. 3. Data Modeling & Architecture • Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows. • Collaborate with solution architects and analysts to ensure models meet business needs. 4. Data Governance & Security • Ensure data integrity, privacy, and compliance through governance practices and secure schema design. • Implement data masking, access controls, and metadata management for sensitive datasets. 5. Collaboration & Agile Delivery • Work closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions. • Participate in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment. Technical Skills: • 7+ years of data engineering or design experienc e, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting. • 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring. (Including Drifting, Model Adaptation and Data Collection). • 5+ years of experience in data engineering using Snowflake. • Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance. • Experience in building and managing streaming and batch inferencing. • Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi. • Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes). • Experience with CI/CD tools such as GitHub Actions, GitLab , Jenkins, or similar tools. • Familiarity with security best practices in DevOps and ML Ops. • Experience in developing and maintaining APIs (e.g.: REST) • Agile/Scrum operating experience using Azure DevOps. • Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others. Professional Skills: • Strong analytical and problem-solving skills and passion for product development. • Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders. • Professional attitude and service orientation; team player. • Ability to translate business needs into potential analytics solutions. • Strong work ethic: ability to work at an abstract level and gain consensus. • Ability to build a sense of trust and rapport to create a comfortable and effective workplace.

Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. In connected supply chain at PwC, you will focus on optimising supply chain operations and improving end-to-end visibility and collaboration. You will work closely with clients to analyse supply chain processes, identify areas for improvement, and develop strategies to enhance efficiency, reduce costs, and increase responsiveness. Working in this area, you will provide guidance on technology and data analytics to create a connected and agile supply chain network. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career in our Supply Chain Management practice, will provide you with the opportunity to help our clients optimize all elements of their supply chain to move beyond the role of a cost-effective business enabler and become a source of competitive advantage. We focus on product innovation and development, supply chain planning and execution, procurement and sourcing, manufacturing operations, logistics and warehousing, digital technologies to drive both topline growth and profitability. You’ll be a part of a team that helps organisation’s in transforming their supply chains into a strategic asset. You’ll work with our clients to develop a supply chain strategy, optimise their supply chain footprint and logistics, manage transportation and distribution, develop integrated business planning solutions, and leverage digital to make it future ready. Responsibilities: · Demonstrate thorough knowledge of industry best practices, business process, o9’s solutions, technical architecture and value proposition. · Lead the complete lifecycle of a project from design to delivery of o9’s solutions to customers across industries and geographies. · Understanding of our customer’s requirements by leading workshops with functional and business owners of the processes and documenting it. · Effectively map the business requirements into o9’s platform and come up with a clear, phased achievable blueprint. · Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. · Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process. · Plan, develop and deliver Super User and End User training, for a global user base. · Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. · Support customer demonstrations. · Be a mentor and guide to junior members. Mandatory skill sets: · 4+ years of experience with implementing supply chain planning applications is a MUST. 2 implementations · Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. · Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. · Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable. · Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation. · Strong ability to lead by example and demonstrate proficiency in both product and domain. · Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure. · Ability to analyse and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Preferred skill sets: · 3 to 5 years of experience in Supply Chain and in Supply Planning o9 · Experience in · Working with the o9 Supply Planning, Scheduling · Configuring UIs, setting up rules, users etc on the Supply Planning · Good understanding of o9 solver and inventory module · Working with planners / end-users on user acceptance testing · Understanding of key Supply Planning concepts · Good to have - End to End implementation experience - 1 or 2 Years of experience required: 2-4 Years Education qualification: B.Tech/B.E/M.Tech/M.E/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills O9 Software Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Business Planning, Communication, Cost Accounting, Cost Management, Creativity, Design for Flexibility, Distribution Channel Optimization, Embracing Change, Emotional Regulation, Empathy, Establishing Inventory Levels, Financial Management, Inclusion, Intellectual Curiosity, Inventory Management, Learning Agility, Logistics Management, Manufacturing Operations Management, Market Trends, Operational Excellence {+ 15 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Position: Senior Data Engineer - IRIS Location: Remote Duration: Contract Position Key Skills Required • Programming: Python, SQL, Spark • Cloud Platforms: Azure, Snowflake • Data Tools: DBT, Erwin Data Modeler, Apache Airflow , API Integrations, ADF • Governance: Data masking, metadata management, SOX compliance • Soft Skills: Communication, problem-solving, stakeholder engagement • A degree is not required, as long as they have the right skillset and can commit to the work/projects assigned. • There will likely be 2 rounds of interviews for this position. As IRIS Data Engineer, you will work with Data Scientists and Data Architects to translate prototypes into scalable solutions. Key Responsibilities: 1. Data Pipeline Design & Development Data Engineers are responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs. This includes: • Integration of structured and unstructured data from various sources into data lakes and warehouses. • Build and maintain scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake and Azure SQL Server, control -M. • Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases. • Design, develop, and optimise DBT models to support scalable data transformations. 2. Cloud Platform Engineering They operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies. • Manage environments, performance tuning, and configuration for cloud-native data solutions. 3. Data Modeling & Architecture • Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows. • Collaborate with solution architects and analysts to ensure models meet business needs. 4. Data Governance & Security • Ensure data integrity, privacy, and compliance through governance practices and secure schema design. • Implement data masking, access controls, and metadata management for sensitive datasets. 5. Collaboration & Agile Delivery • Work closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions. • Participate in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment. Technical Skills: • 7+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting. • 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring. (Including Drifting, Model Adaptation and Data Collection). • 5+ years of experience in data engineering using Snowflake. • Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance. • Experience in building and managing streaming and batch inferencing. • Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus). • Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes). • Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools. • Familiarity with security best practices in DevOps and ML Ops. • Experience in developing and maintaining APIs (e.g.: REST) • Agile/Scrum operating experience using Azure DevOps. • Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others.

Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. In connected supply chain at PwC, you will focus on optimising supply chain operations and improving end-to-end visibility and collaboration. You will work closely with clients to analyse supply chain processes, identify areas for improvement, and develop strategies to enhance efficiency, reduce costs, and increase responsiveness. Working in this area, you will provide guidance on technology and data analytics to create a connected and agile supply chain network. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career in our Supply Chain Management practice, will provide you with the opportunity to help our clients optimize all elements of their supply chain to move beyond the role of a cost-effective business enabler and become a source of competitive advantage. We focus on product innovation and development, supply chain planning and execution, procurement and sourcing, manufacturing operations, logistics and warehousing, digital technologies to drive both topline growth and profitability. You’ll be a part of a team that helps organisation’s in transforming their supply chains into a strategic asset. You’ll work with our clients to develop a supply chain strategy, optimise their supply chain footprint and logistics, manage transportation and distribution, develop integrated business planning solutions, and leverage digital to make it future ready. Responsibilities: · Demonstrate thorough knowledge of industry best practices, business process, o9’s solutions, technical architecture and value proposition. · Lead the complete lifecycle of a project from design to delivery of o9’s solutions to customers across industries and geographies. · Understanding of our customer’s requirements by leading workshops with functional and business owners of the processes and documenting it. · Effectively map the business requirements into o9’s platform and come up with a clear, phased achievable blueprint. · Work with a team of experts to configure, solution as per the design to solve deep operations / supply chain problems and institute rigorous performance monitoring process. · Work with the customer to resolve issues and coordinate defect tracking, analysis and resolution process. · Plan, develop and deliver Super User and End User training, for a global user base. · Actively help in improving internal processes and product features based on customer feedback by interfacing with the development and operations teams. · Support customer demonstrations. · Be a mentor and guide to junior members. Mandatory skill sets: · 4+ years of experience with implementing supply chain planning applications is a MUST. 2 implementations · Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. · Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. · Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable. · Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation. · Strong ability to lead by example and demonstrate proficiency in both product and domain. · Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure. · Ability to analyse and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key. Preferred skill sets: · 3 to 5 years of experience in Supply Chain and in Supply Planning o9 · Experience in · Working with the o9 Supply Planning, Scheduling · Configuring UIs, setting up rules, users etc on the Supply Planning · Good understanding of o9 solver and inventory module · Working with planners / end-users on user acceptance testing · Understanding of key Supply Planning concepts · Good to have - End to End implementation experience - 1 or 2 Years of experience required: 2-4 Years Education qualification: B.Tech/B.E/M.Tech/M.E/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills O9 Software Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Business Planning, Communication, Cost Accounting, Cost Management, Creativity, Design for Flexibility, Distribution Channel Optimization, Embracing Change, Emotional Regulation, Empathy, Establishing Inventory Levels, Financial Management, Inclusion, Intellectual Curiosity, Inventory Management, Learning Agility, Logistics Management, Manufacturing Operations Management, Market Trends, Operational Excellence {+ 15 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

As a Sales Excellence COE Advanced Modeling Manager at Accenture, you play a crucial role in empowering our teams to compete, win, and grow. Your expertise lies in utilizing machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio to derive valuable insights from data. In this role, you will be responsible for generating business insights that drive process improvements, enhance sales performance, and maximize profitability for Accenture. By building and utilizing models and scorecards, you will enable business leaders to grasp trends and market dynamics effectively. Collaborating closely with operations teams, you will translate these insights into user-friendly solutions, while overseeing tool access and monitoring their usage. Your core responsibilities include collecting and processing data from various functions such as Sales, Marketing, and Finance, analyzing data to develop actionable insights, and communicating these insights clearly to stakeholders. Furthermore, your role entails collaborating with the COE team to create scalable solutions that enhance operational efficiency. To excel in this position, you are required to have a Bachelor's degree or equivalent experience, strong oral and written communication skills in English, and a minimum of five years of experience in data modeling and analysis. Your skill set should encompass expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools. Additionally, project management experience, business acumen, and meticulous attention to detail are essential attributes for success in this role. Moreover, possessing a Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform (GCP) and BigQuery, experience with Salesforce Einstein Analytics, familiarity with optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX, and exposure to Power Apps will be advantageous. Join us at Accenture, where Sales Excellence thrives on data-driven insights and innovation, and be a part of a dynamic team that is dedicated to driving excellence and growth in sales performance.,

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud, integrates with your existing systems to digitize, augment, and automate decisions in real-time. Aera helps enterprises around the world transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the worlds best-known brands. Responsibility Model Development : Assist in designing, implementing, and testing mathematical models for optimization problems (e.g., linear programming, integer programming, mixed-integer programming, network flow models) Collaborate on creating scalable optimization models for applications like planning, routing, scheduling, inventory management, and capacity utilization. Create heuristic models in addition to mathematical models as per the problem requirements. Data Analysis: Derive insights from data. Validate model inputs and outputs Clean, pre-process and integrate datasets for use in optimization models. Testing & Documentation thoroughly testing your work before deploying and Documenting About you Bachelor’s degree in Operations Research, Industrial Engineering, Mathematical Modeling or related fields The duration of the internship is 6 months. Experience with optimization modeling and solvers (CPLEX, Gurobi, COIN-OR, etc.) Experience with python Proactive self-starter who is comfortable taking ownership of their work and meeting deadlines Willingness to join full-time on successful completion of internship Our Environment AWS hosted infrastructure Linux Python

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Hands on working experience in Supply Chain, Industrial Engineering, Operations Research, Data Science, or related fields. Strong working experience in supply chain analytics with proven modelling and data analysis expertise. Hands-on experience with supply chain optimization tools (Llamasoft, Optilogic, AIMMS, Anylogistix). Familiarity with optimization solvers (Gurobi, CPLEX, AIMMS) and simulation tools. Strong proficiency in Power BI, Tableau, and Excel. Experience with machine learning, simulation, and advanced forecasting. Understanding of S&OP/IBP processes and digital supply chain transformation. Industry background in FMCG, CPG, Automotive, or Discrete Manufacturing. Advanced SQL & Python for data extraction, analysis, and modelling. Excellent communication and collaboration skills for working across global teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analysing the clients needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs. Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Position - Lead O9 Functional Consultant - Manager Job Location - Bangalore , Work from Office Max Notice Period - 2 Months Experience - 12 to 16 Years Max Salary- 44 Lakhs with 15% variable Organisation - Top 5 Indian IT Company Responsibilities Gather and translate business requirements into functional specifications for the o9 platform. Design and configure o9 solutions (worksheets, alerts, metrics, workflows) for supply chain, demand, MEIO and S&OP processes. Lead end-to-end o9 implementation projects, including configuration, integration, and testing. Support integration with ERP systems (Oracle) and ensure seamless data flow. Conduct testing (SIT, UAT), troubleshoot issues, and document solutions. Collaborate with stakeholders to drive adoption and provide training. Act as an o9 subject matter expert, advising on best practices. Technical Skills: Proficiency in o9 platform modules, configuration, and integration capabilities. Familiarity with programming languages (e.g., Java, Python, JavaScript) and SQL for data analysis and model development. Knowledge of supply chain models, optimization solvers (e.g., Gurobi, CPLEX), and advanced planning tools. Show more Show less

Position - Lead O9 Functional Consultant - Manager Job Location - Bangalore , Work from Office Max Notice Period - 2 Months Experience - 12 to 16 Years Max Salary- 44 Lakhs with 15% variable Organisation - Top 5 Indian IT Company Responsibilities Gather and translate business requirements into functional specifications for the o9 platform. Design and configure o9 solutions (worksheets, alerts, metrics, workflows) for supply chain, demand, MEIO and S&OP processes. Lead end-to-end o9 implementation projects, including configuration, integration, and testing. Support integration with ERP systems (Oracle) and ensure seamless data flow. Conduct testing (SIT, UAT), troubleshoot issues, and document solutions. Collaborate with stakeholders to drive adoption and provide training. Act as an o9 subject matter expert, advising on best practices. Technical Skills: Proficiency in o9 platform modules, configuration, and integration capabilities. Familiarity with programming languages (e.g., Java, Python, JavaScript) and SQL for data analysis and model development. Knowledge of supply chain models, optimization solvers (e.g., Gurobi, CPLEX), and advanced planning tools.

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Hands on working experience in Supply Chain, Industrial Engineering, Operations Research, Data Science, or related fields. Strong working experience in supply chain analytics with proven modelling and data analysis expertise. Hands-on experience with supply chain optimization tools (Llamasoft, Optilogic, AIMMS, Anylogistix). Familiarity with optimization solvers (Gurobi, CPLEX, AIMMS) and simulation tools. Strong proficiency in Power BI, Tableau, and Excel. Experience with machine learning, simulation, and advanced forecasting. Understanding of S&OP/IBP processes and digital supply chain transformation. Industry background in FMCG, CPG, Automotive, or Discrete Manufacturing. Advanced SQL & Python for data extraction, analysis, and modelling. Excellent communication and collaboration skills for working across global teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analysing the clients needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs. Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Strong working experience in supply chain analytics with proven modelling and data analysis expertise. Hands-on experience with supply chain optimization tools (Llamasoft, Optilogic, AIMMS, Anylogistix). Familiarity with optimization solvers (Gurobi, CPLEX, AIMMS) and simulation tools. Strong proficiency in Power BI, Tableau, and Excel. Experience with machine learning, simulation, and advanced forecasting. Understanding of S&OP/IBP processes and digital supply chain transformation. Industry background in FMCG, CPG, Automotive, or Discrete Manufacturing. Advanced SQL & Python for data extraction, analysis, and modelling. Excellent communication and collaboration skills for working across global teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analysing the clients needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs. Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Strong working experience in supply chain analytics with proven modelling and data analysis expertise. Hands-on experience with supply chain optimization tools (Llamasoft, Optilogic, AIMMS, Anylogistix). Advanced SQL & Python for data extraction, analysis, and modelling. Familiarity with optimization solvers (Gurobi, CPLEX, AIMMS) and simulation tools. Strong proficiency in Power BI, Tableau, and Excel. Experience with machine learning, simulation, and advanced forecasting. Understanding of S&OP/IBP processes and digital supply chain transformation. Industry background in FMCG, CPG, Automotive, or Discrete Manufacturing. Familiarity with machine learning libraries (scikit-learn, TensorFlow) and multi-objective optimization. Experience with parallel computing, stochastic optimization, and cloud platforms (AWS, Azure, GCP). Knowledge of supply chain platforms (Llamasoft, O9, Anaplan, Kinaxis). Strong consulting background and application integration experience. Excellent communication and collaboration skills for working across global teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analysing the clients needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs. Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact You will spend a significant part of your time (>70-80%) working with the Manufacturing and Supply Chain (MSC-X) practice and consulting teams in McKinsey to design and implement advanced digital integrated planning solutions and demonstrate thorough solution of industry best practices, business process, Advanced Planning Solutions (APS) technical architecture and value proposition. You will participate in the complete lifecycle of a project from design to delivery of APS solutions to customers across industries and geographies and gather understanding of our customer’s requirements by participating in workshops with functional and business owners of the processes and documenting it. As part of your role, you will work closely with architects to develop clear functional and technical design and document data requirements and build complex datasets, as well as configure the APS platform based on the blueprint laid out during design to solve deep operations/supply chain problems. You will also create and execute workflow and data analytics test-cases, document issues, and track the progress of resolutions. You will be in the lead of the more junior system configurators (delivery analysts), taking care of day- to-day support, and review quality of work. You will also play a lead role towards clients. You will play the role of a support in the Super User and End User training, for a global user base, actively helping to improve internal processes and product features based on customer feedback by interfacing with the development and operations teams' qualifications. You will be a part of Manufacturing and Supply Chain (MSC-X), the analytics wing of McKinsey & Company's MSC practice, and will work directly with Indian client project teams on supply chain and integrated business planning related issues of McKinsey’s clients from various industry verticals. You will focus on three main aspects amongst others: E2E supply chain planning (S&OP/IBP) quick & deep dive diagnostics with analytics, supply process design, and planning transformations & implementations. Next to McKinsey you will be working with our collaboration companies/software vendors of advanced planning solutions. You will be working hands on with clients in need of supply chain solutions across different industries and geographical regions. You will be part of the future of integrated business planning. You will be based in Gurugram/Chennai/ Bengaluru and will travel frequently to serve clients onsite. Your Qualifications and Skills Post-graduate degree in operations management, statistics, or industrial engineering, with a strong quantitative underpinning 3+ years of experience with implementing planning applications like O9 and SAP IBP is a must, with demand or supply planning focus Additionally, exposure to Kinaxis / Blue Yonder / E2Open / OMP / Anaplan / Riverlogic / AIMMS is a plus Experience on working with clients, translating business requirements to technical features and integration accordingly Deep understanding of supply chain planning concepts including Distribution Planning, Master Planning, S&OP, Heuristic/Optimization based supply chain solvers Statistical, optimization and simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable Understand concepts of history cleansing, customer segmentation, statistical forecast algorithms and their uses, forecast errors, consensus planning and S&OP process (for demand planning) Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation Strong ability to lead by example and demonstrate proficiency in both product and domain Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations, even under pressure Ability to analyze and process large amounts of data and complement it with intuition to prioritize and focus on the highest value opportunities or the biggest risks is key

Overview : We are seeking talented Optimization scientist to join our team. As an Optimization Engineer, you will be responsible for developing and implementing optimization algorithms and techniques to improve the performance, efficiency, and reliability of our systems and processes. You will work closely with cross-functional teams to analyse complex problems, design innovative solutions, and drive continuous improvement initiatives. Responsibilities : 1. Develop mathematical models and algorithms for optimization problems (LP, IP, MIP, NLP, QP)across various domains, such as supply chain management, resource allocation, scheduling, and routing. 2. Implement optimization solutions using Python and optimize code for performance and scalability. 3. Collaborate with data scientists, engineers, and business stakeholders to understand requirements, gather data, and define optimization objectives and constraints. 4. Conduct thorough analyses of data sets, system performance metrics, and operational processes to identify optimization opportunities and areas for improvement. 5. Design experiments and simulations to evaluate the effectiveness and robustness of optimization algorithms and validate proposed solutions. 6. Work closely with software development teams to integrate optimization models and algorithms into production systems and applications. 7. Monitor the performance of deployed optimization solutions, analyse results, and iterate on algorithms to achieve desired outcomes. 8. Communicate findings, insights, and recommendations to stakeholders through presentations, reports, and documentation. Qualifications : 1. Bachelors or masters degree in computer science, operations research, engineering, mathematics, or a related field. 2. Solid understanding of optimization theory, mathematical modelling, and algorithm development. 3. Proficiency in Python programming. 4. Experience with optimization libraries and frameworks, such as SciPy, NumPy, Gurobi, or CPLEX. 5. Strong analytical and problem-solving skills, with the ability to translate complex problems into actionable insights and solutions. 6. Experience working with large-scale data sets, databases, and distributed computing environments. 7. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Strong working experience in supply chain analytics with proven modelling and data analysis expertise. Hands-on experience with supply chain optimization tools (Llamasoft, Optilogic, AIMMS, Anylogistix). Familiarity with optimization solvers (Gurobi, CPLEX, AIMMS) and simulation tools. Strong proficiency in Power BI, Tableau, and Excel. Experience with machine learning, simulation, and advanced forecasting. Understanding of S&OP/IBP processes and digital supply chain transformation. Industry background in FMCG, CPG, Automotive, or Discrete Manufacturing. Advanced SQL & Python for data extraction, analysis, and modelling. Excellent communication and collaboration skills for working across global teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analysing the clients needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs. Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Strong working experience in supply chain analytics with proven modelling and data analysis expertise. Hands-on experience with supply chain optimization tools (Llamasoft, Optilogic, AIMMS, Anylogistix). Familiarity with optimization solvers (Gurobi, CPLEX, AIMMS) and simulation tools. Strong proficiency in Power BI, Tableau, and Excel. Experience with machine learning, simulation, and advanced forecasting. Understanding of S&OP/IBP processes and digital supply chain transformation. Industry background in FMCG, CPG, Automotive, or Discrete Manufacturing. Advanced SQL & Python for data extraction, analysis, and modelling. Excellent communication and collaboration skills for working across global teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analysing the clients needs in the context of the project. Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it. Determining and implementing design methodologies and tool sets. Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs. Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it. Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement. Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs. Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Job Description: We are looking for an Operations Research professional to design and implement solutions for scheduling, optimization, assignment, and alignment problems. The ideal candidate should have strong problem-solving skills along with hands-on expertise in mathematical modeling and optimization techniques. Key Responsibilities: Build and implement optimization models for scheduling and resource alignment problems. Apply linear programming and advanced OR techniques to business use cases. Develop algorithms and solutions using Python and Google OR-Tools (or similar solvers). Work with tools like CPLEX for large-scale optimization. Collaborate with stakeholders to translate business requirements into OR models. Required Skills & Experience: Strong background in Operations Research and Optimization. Proficiency in Linear Programming. Hands-on experience with Python. Experience with solvers such as Google OR-Tools and CPLEX. Strong problem-structuring and analytical thinking ability. Preferred Skills: Experience in applying OR techniques to real-world scheduling or assignment problems. Exposure to other optimization solvers will be an added advantage.

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud™, integrates with your existing systems to digitize, augment, and automate decisions in real-time. Aera helps enterprises around the world transform decision-making – delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world’s best-known brands. Responsibility Model Development : Assist in designing, implementing, and testing mathematical models for optimization problems (e.g., linear programming, integer programming, mixed-integer programming, network flow models) Collaborate on creating scalable optimization models for applications like planning, routing, scheduling, inventory management, and capacity utilization. Create heuristic models in addition to mathematical models as per the problem requirements. Data Analysis: Derive insights from data. Validate model inputs and outputs Clean, pre-process and integrate datasets for use in optimization models. Testing & Documentation thoroughly testing your work before deploying and Documenting About You Bachelor’s degree in Operations Research, Industrial Engineering, Mathematical Modeling or related fields The duration of the internship is 6 months. Experience with optimization modeling and solvers (CPLEX, Gurobi, COIN-OR, etc.) Experience with python Proactive self-starter who is comfortable taking ownership of their work and meeting deadlines Willingness to join full-time on successful completion of internship Our Environment AWS hosted infrastructure Linux Python If you share our passion for building a sustainable, intelligent, and efficient world, you’re in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let’s build this! Aera Technology is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the Data Science algorithms that could be used to solve a given problem and ranking them by their success probability Developing robust solutions for logistics for vehicle routing, scheduling, planning, demand forecasting, workforce management, network design & optimization, etc. Develop solutions based on advanced statistical modeling, simulations, optimization algorithms, etc. to help decision makers take complex business decisions in various business scenarios Lead/ collaborate with a team of data scientists in developing and delivering machine learning models for production setting Understand key business processes, operational constraints, critical bottlenecks and metrics to optimize at a detailed level Improve key organizational metrics through developing data-science based solutions Perform data wrangling and due diligence activities on data quality Performing Exploratory Data Analysis (EDA), defining the preprocessing or feature engineering to be done on a given dataset, developing Machine Learning models, validating models, deployment, etc. Collaborate with the application development team for deploying the data science solutions Proactively drive impact to business by owning the data science initiatives end-to-end and collaborating with other stakeholders Collaborate with the Operations, Network, Control Tower and Business Analysis team to develop cutting edge analytics solutions that improve the business Maintain thorough and comprehensive documentation of data science initiatives Develop robust work products by following best practices through all stages of development, testing & deployment ELIGIBILITY: BE/Tech in Engineering, MBA/Masters/PhD candidates preferred Strong background in strong in Statistics, Supply Chain and Operations Research concepts Domain experience in working on logistics, supply chain or operations research areas would be preferred Experience in solving complex & large scale problems such as linear, non-linear programming, mixed integer optimization, etc. Ability to independently and proactively drive initiatives with minimal supervision Strong working knowledge of solvers such as CPLEX, GUROBI, LINDO, etc. Proficient in Python & R, with sound knowledge of OOPS concepts Expertise in Optimization, Simulations, Queuing Theory, Game Theory, Forecasting Techniques, etc. Familiarity with statistical modeling, machine-learning approaches & deep-learning Experience in using Big Data platforms, Spark & Hadoop platform would be preferred Excellent communication skills and ability to effectively manage stakeholders Experience with working on a variety of Logistics, Supply Chain or Operations research use-cases in Ecommerce Excellent understanding of statistics, probability, linear algebra and other mathematical concepts that supports modern ML and Optimization techniques Familiarity with data visualization tools