29 Cplex Jobs

Role: Data Scientist Location: India (Remote) About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. About DS/AI Competency Center: Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools. Website: https://lingarogroup.com/ Requirements: Must Have: 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have). Familiarity with theory behind various machine learning concepts Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban). Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. Experience in working with client-facing role. Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope. Great communication skills. Nice to have: Other programming languages knowledge e.g., SQL, R Experience working in Spark (PySpark) Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) Strong statistical/mathematical background Experience in working in matrix organization Tasks: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements) Creation and following of standards to improve competency quality. Know-how and experience from projects in Supply Chain area, or optimization projects is a plus Why join us: Stable employment. On the market since 2008, 2000+ talents currently on board in 7+ global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Please click on this website to submit your application: https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=58b86d44db3b4c5993eab2801d9d9a01

The CPLEX Studio Optimization team is searching for a polyvalent developer/engineerwith a broad skill base to contribute to the development and maintainance of the CPLEX Optimization product and its associated tools.We are looking for talented and passionate software engineer with a strong background in Java and backend development, with ability to design, develop, test and document features and components. Duties would include (but not be limited to) development and maintainance of: - CPLEX Studio modeling and solving APIs - CPLEX Studio performance measurement infrastructure - Other CPLEX Studio modules as appropriate Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience. Excellent knowledge of the Java Ecosystem (JNI, OSGI/Equinox) Experience in designing and building applications Familiarity with build tool chains Some familiarity with Linux systems and admin tools Preferred technical and professional experience Comfortable on various systems (OS, CPU, containers) Knowledge of some IDE plug-ins development Knowledge of C, C++, Python or .NET Core Knowledge of JavaScript

We are seeking an Optimization Specialist focused on developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. In this role, you will play a pivotal part in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions that optimize complex business processes The ideal candidate will excel in formulating and solving various optimization problems (LP, MILP, combinatorial optimization, scheduling, etc.) and will be adept in applying innovative algorithms to achieve optimal solutions. Our current technical environment: Language: Python Frameworks/Others: COIN-OR , PyTorch, NumPy, SciPy, Pyomo and Django Application Architecture: Scalable, Resilient, Reactive, event driven, secure microservices architecture. Cloud: AWS What you’ll do: Mathematical Optimization Solvers: Design, develop, and implement advanced mathematical optimization models and solvers to address complex business challenges across various domains, such as scheduling, routing, resource allocation, and inventory management. Identify and model optimization problems across different kinds of Manufacturing businesses, focusing on LP, MILP, combinatorial optimization, and scheduling. Design and implement robust optimization algorithms, including both classical methods and advanced heuristic and metaheuristic techniques Evaluate and select appropriate non-commercial (e.g., COIN-OR, SCIP) and commercial solvers (e.g., Gurobi, CPLEX, COIN-OR, PuLP or AMPL) for specific problems, customizing and extending as necessary. Machine Learning Model Development: Design, develop, and deploy machine learning models to analyze large datasets, generate insights, and make predictions that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms. Perform data analysis and statistical validation of models and solutions, ensuring accuracy and efficacy. Keep abreast of the latest developments in optimization and computational intelligence, incorporating these advancements into problem-solving strategies. Push the team towards better quality software by constructively pointing out opportunities to reduce complexity and to write cleaner code and more effective tests. Identify root causes of issues and fixes those rather than their symptoms. Design services to be self-healing and to offer self-service capabilities from the ground up to achieve minimum manual intervention. What we are looking for: 1-3 years of experience in Operations Research and Python programming Bachelors in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. Has experience building optimization models from scratch Preferably have some constraint programming knowledge and know-how to Understand standard scheduling / job shop model models and improve upon them Demonstrable experience with both non-commercial and commercial optimization solvers, with a keen ability to tailor solutions to complex problems. Strong statistical analysis skills, with proficiency in tools such as Python. Excellent problem-solving abilities, creativity in approach, and a track record of innovative solutions in optimization. Effective communication skills for presenting complex concepts to technical and non-technical audiences. About Techtinium Techtinium has a passion for innovative products. Specializing in the design and development of exceptional software, our diverse team includes developers, architects, designers, analysts, testers, project managers, and proud caffeine enthusiasts. Our success is rooted in the belief that our people are our greatest asset. Through careful selection, sourcing, hiring, and retention, we’ve cultivated a team of intelligent and motivated experts dedicated to delivering superior software solutions. At Techtinium, we consistently exceed expectations, fostering enduring relationships that have led to the establishment of separate dedicated companies to manage and nurture our products. Joining Techtinium means embarking on a journey where your skills are honed across the entire software development lifecycle. From mastering scalable applications to thriving in a positive, thought-provoking, and collaborative environment, your contributions will be valued in shaping creative solutions for our global clientele. If you’re ready for an exciting professional adventure, explore opportunities with us at https://techtinium.com/. We’re eager to welcome you to our team!

Roles & Responsibilities: Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data. Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points. Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency. Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams. Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock). Technical & Functional Skills: 6+ years of experience in demand forecasting and supply chain optimization in manufacturing or pharma domain. Strong demand forecasting expertise- Time series, machine learning and deep learning models. Strong programming in Python, SQL; familiarity with GCP or Azure. Deep knowledge of supply chain processes - production planning, inventory management, and logistics. Experience with simulation tools (e.g. Arena) is a plus. Ability to communicate complex models to non-technical stakeholders and influence decision-making. Good to have Expertise in solvers (e.g. Gurobi, CPLEX/ILOG, Hexaly) for MILP and Constraint-based optimization. About the Department | Digital Process and Excellence (DPEx): Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital. With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third. Some its priorities are: Reimagine Dr. Reddy’s as a ‘platform-based’ organization. Create Data as an asset that brings competitive advantage and business impact. Create Digital solutions that make the lives of our patients and customers easier and better.

A Ph.D., master’s degree in operations research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field and at least 2 – 8 years of work experience in applying advanced optimization/statistics techniques in engineering and manufacturing domain. Hands on experience in Operations Research/ Optimization LP, Integer programming, Mixed Integer Programming, Decomposition Algorithms, Simulated Annealing, Genetic Algorithm, Hybrid SA & GA, Tabu search, Discrete event Simulation, Ant colony optimization, Markov decision processes. Experience with CPLEX, Gurobi, Data Visualization tools. Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms. Experience in collaborating for strategic Optimization/OR roadmaps to advance business capabilities Develop and operate solutions that optimize and automate business decisions using large data sets and algorithms Exceptional problem-solving skills. Passion for translating data into action and business insights, and keen to learn and develop new methods/technologies. Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization Proficient in one or more of the following programming languages: C++, Python, R. Ability to communicate technical information to a non-technical audience.

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. We are seeking a skilled back-end developer to join our IBM Software team. As part of our team, you will be responsible for developing and maintaining high-quality software products, working with a variety of technologies and programming languages. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. Your Role And Responsibilities The CPLEX Studio Optimization team is searching for a polyvalent developer/engineer with a broad skill base to contribute to the development and maintainance of the CPLEX Optimization product and its associated tools. We are looking for talented and passionate software engineer with a strong background in Java and backend development, with ability to design, develop, test and document features and components. Duties would include (but not be limited to) development and maintainance of: CPLEX Studio modeling and solving APIs CPLEX Studio performance measurement infrastructure Other CPLEX Studio modules as appropriate Preferred Education Master's Degree Required Technical And Professional Expertise 4+ years of experience. Excellent knowledge of the Java Ecosystem (JNI, OSGI/Equinox) Experience in designing and building applications Familiarity with build tool chains Some familiarity with Linux systems and admin tools Preferred Technical And Professional Experience Comfortable on various systems (OS, CPU, containers) Knowledge of some IDE plug-ins development Knowledge of C, C++, Python or .NET Core Knowledge of JavaScript

We are hiring a Data Scientist (part-time) with a few years of experience. Expectation: about 15-20 hours per week for 3mths. Can turn into full-time for a strong performer. Join us and help us build the models that will define how resources are planned across Warehouses all over the US. You’ll lay the ML foundation to scale across thousands of warehouses and millions of packages. About Us Inveno is a US-based startup revolutionizing warehouse operations with intelligent resource planning powered by specialized AI. We’re on a mission to eliminate manual inefficiencies in warehouse management by building custom models that deliver smart, data-driven planning. What Problem Are We Solving — and Why? Today, 75% of US warehouses rely on manual shift planning — determining where staff go, which trucks unload where, which items get processed when — all without automation. This results in over $1 million in annual inefficiencies per warehouse. We are here to change that. By harnessing operational data and developing custom AI and optimization models, we help warehouse managers plan with precision, speed, and scale. Who’s Building This? We’re a founding team of 3: A warehouse operations expert with 8 years of experience at top logistics startups in the US and India. A CEO who’s built and exited 3 companies and led teams at Alibaba Group. A CTO who scaled engineering and systems at Bangladesh’s top-funded startup. Our Progress So Far Our V1 product is currently in development. We’ve already secured a paid contract with the global brand house with other major brands in the pipeline (including top US retailers) Key Responsibilities Lead Optimizer Development: Architect and implement our core optimization engine using tools like Google’s Math-OPT, NVIDIA cuOpt, or OR-Tools. Focus on improving labor planning, dock assignments, and wave planning to ensure on-time fulfillment. Build Machine Learning Models: Create and deploy supervised learning models to support and enhance the optimizer using complex real-world warehouse data. Shape LLM Interaction Layer: Collaborate with engineering to design workflows where LLMs convert user input into operational rules that feed into the optimizer. Establish MLOps Best Practices: Set up model versioning, deployment, monitoring, and experimentation pipelines that ensure robust and scalable ML infrastructure. Qualifications & Skills (Must-haves) Experience designing and deploying constraint-based optimization models using tools like Google OR-Tools, Gurobi, CPLEX, or similar. Advanced Python skills with fluency in the data science stack: NumPy, pandas, scikit-learn, etc. Strong foundation in supervised ML, including feature engineering, model selection, and validation techniques. Proven ability to translate complex operational problems into solvable mathematical or ML models. Bachelor’s or Master’s degree in Computer Science, Operations Research, Statistics, or a related quantitative field.

Title : Principal Data scientist Location : Chennai or Bangalore Experience : 10-13 years Job Summary We are seeking a highly skilled and techno-functional Optimization Specialist with 1013 years of experience in developing enterprise-grade optimization solutions and platforms. The ideal candidate will possess deep expertise in mathematical optimization, strong hands-on Python programming skills, and the ability to bridge the gap between technical and business teams. You will lead the design and deployment of scalable optimization engines to solve complex business problems across supply chain, manufacturing, pricing, logistics, and workforce planning. Key Responsibilities Design & Development : Architect and implement optimization models (LP, MILP, CP, metaheuristics) using solvers like Gurobi, CPLEX, or open-source equivalents. Platform Building : Lead the design and development of optimization-as-a-service platforms with modular, reusable architecture. Techno-Functional Role : Translate business requirements into formal optimization problems and provide functional consulting support across domains. End-to-End Ownership : Manage the full lifecycle from problem formulation, model design, data pipeline integration, to production deployment. Python Expertise : Build robust, production-grade code with modular design using Python, Pandas, NumPy, Pyomo/Pulp, and APIs (FastAPI/Flask). Collaboration : Work with business stakeholders, data scientists, and software engineers to ensure solutions are accurate, scalable, and aligned with objectives. Performance Tuning : Continuously improve model runtime and performance; conduct sensitivity analysis and scenario modeling. Innovation : Stay abreast of the latest in optimization techniques, frameworks, and tools; proactively suggest Skills & Qualifications : Bachelors or Masters in Operations Research, Industrial Engineering, Computer Science, or related fields. 1012 years of experience in solving real-world optimization problems. Deep understanding of mathematical programming (LP/MILP/CP), heuristics/metaheuristics, and stochastic modeling. Proficiency in Python and experience with relevant libraries (Pyomo, Pulp, OR-Tools, SciPy). Strong experience building end-to-end platforms or optimization engines deployed in production. Functional understanding of at least one domain : supply chain, logistics, manufacturing, pricing, scheduling, or workforce planning. Excellent communication skills able to interact with technical and business teams effectively. Experience integrating optimization models into enterprise systems (APIs, cloud deployment, Qualifications : Exposure to cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Familiarity with data visualization (Dash, Plotly, Streamlit) to present optimization results. Certification or training in operations research or mathematical optimization tools. (ref:hirist.tech)

With our AI-driven platform the o9 Digital Brain we integrate global enterprisessiloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage But our impact doesnt stop there Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too, We're on the lookout for the brightest, most committed individuals to join us on our mission Along the journey, well provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet, What youll do for us Demonstrate thorough knowledge of industry best practices, business processes, o9s solutions, technical architecture, and value proposition, Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of data loads and validating the e2e workflows, Identify any design issues in the existing setup and co-ordinate with other o9 consultants to solve the business problem Be the single point of contact for any platform level upgrade/patch/hot fix, Configure the o9 platform based on the change requests/enhancements post go-live and deliver them to solve deep operations / supply chain problems, Create and execute workflow and data analytics test-cases Work on bugs/issues and track progress at resolving issues using support tool, Support 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, What youll have Experience: 2+ years of experience with implementing planning applications is a MUST, Education: Btech/BE/MCA/Mtech Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable, Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP, Characteristics: Strong ability to lead by example and demonstrate proficiency in both product and domain Patient listener with the ability to 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, We really value team spirit: Transparency and frequent communication is key At o9, this is not limited by hierarchy, distance, or function, What well do for you Competitive salary and benefits, High growth organization very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day, Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials If youre in the office, feel free to join these events in person, Food and drink:

Location Chennai, Tamil Nadu, India Job ID R-229643 Date posted 18/06/2025 Job Title: Lead Consultant - Principal AI Engineer Introduction to role: Career level: E Are you ready to tackle the most challenging AI and mathematical optimization problems in the pharmaceutical industry? As a Lead Consultant - Principal AI Engineer, you'll join a global team of technical experts, including AI engineers, data scientists, and software developers. Your mission? To design, develop, and support innovative tools that will revolutionize AstraZeneca's operations, making us more efficient in our quest to improve the lives of millions of patients worldwide. Are you up for the challenge? Accountabilities: Contribute to the design and development of end-to-end mathematical optimization or AI solutions for the business. Visualize complex datasets and model outputs using the latest front-end technologies. Mentor AI scientists, plan and supervise technical work, and collaborate with stake holders. Work within an agile framework and in multi-functional teams to align AI solutions with business goals. Engage internal stake holders and external partners for the successful delivery of AI solutions. Continuously monitor and optimize AI models to improve accuracy and efficiency. Document processes, models, and key findings & contribute to building internal AI capabilities. Essential Skills/Experience: Bachelor's in operations research, mathematics, computer science, or related quantitative field. Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph). Demonstrated experience (at least 3 years) using mathematical optimization software such as CPLEX, Gurobi, XPRESS or OR-Tools. Experience with heuristic and meta-heuristic algorithms as an alternative to the above software. A working knowledge of optimization concepts. 5+ years of experience and demonstrable technical skills in developing mathematical optimization solutions for complex real-world problems. Proven, hands-on coding experience, knowledge of software development standard methodologies and deployment practices such as CI/CD, testing, version control. 5+ years of experience developing high-quality optimization tools. Ideally including Python. A track record of understanding and translating complex business problems into engineering problems. Creative, collaborative, & product-focused. Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch. Experience productionizing ML/Gen AI services and working with complex datasets. Strong understanding of software development, algorithms, optimization, and scaling. Excellent communication and business analysis skills. Desirable Skills/Experience: Master’s or PhD in a relevant quantitative field. Cloud engineering experience (AWS cloud services). Snowflake. Software development experience (e.g. React JS, Node JS). When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca is where innovation meets large-scale impact. We connect across the entire business to drive transformative change and improve patient outcomes. Our inclusive team thrives on collaboration with leading experts, leveraging cutting-edge techniques to deliver novel solutions. Here, you can raise your personal profile by publishing your work and showcasing your achievements. We empower our employees to drive efficiencies that enable success while maintaining high ethical standards. Join us as we continue our journey towards becoming a digital and data-led enterprise. Ready to make a difference? Apply now and be part of our transformative journey! Date Posted 19-Jun-2025 Closing Date 03-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. ]]>

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, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You will spend a significant part of your time solving complex client problems in the Supply Chain domain, specializing in digital Supply Chain Planning supported by SCM Connections. You will work in teams to collaborate with our clients to define new organizational structures, roles and processes across global organizations. This includes gathering and analyzing information, formulating, and testing hypotheses, and developing recommendations for presentation to client management. You will make a meaningful, hands-on contribution to the analysis, design, and implementation of business performance approaches, developing tailor-made solutions and working closely with clients to ensure positive impact and sustainable results. In this exciting collaborative culture, you will not only have the opportunity to work directly with clients, you will also share your expertise and insights with colleagues globally, thereby expanding our knowledge and refining our approaches in the Manufacturing & Supply Chain field. In addition to client-facing responsibilities, you will also help to configure and deploy supply chain planning systems (e.g., O9, Kinaxis, SAP IBP, etc.) at various clients and facilitate the data integration of clients’ legacy systems and advanced planning solution. You will define and coordinate the execution of user acceptance testing (UAT) and created tailored, comprehensive training documentation to assist with change management. Additionally, you will help to enhance the collective firm knowledge with regards to supply chain technology, contributing to our knowledge base and helping to create new offerings to be deployed at clients. Projects may include leading the deployment of supply chain planning solutions at clients, assisting clients with selection of technology for supply chain planning, stochastic simulation of inventory levels with the objective of creating a robust inventory policy, and conducting diagnostics on supply chain health and performance for our clients. You will use your expertise to drive change in system and help guide clients on their digital supply chain journeys, as well as improvements to the overall execution of the supply chain. You will join one of our McKinsey Gurugram/Chennai offices as a part of the Manufacturing and Supply Chain team (MSC-X), the analytics wing of McKinsey & Company's Operations practice, that focuses on deeply tech-enabling our client service. MSC-X comprises an ecosystem of customizable, web-based digital tools that turbocharge McKinsey diagnostics while serving as a platform on which clients can digitize their plants and production environments to improve performance. Our open-source technology allows groups to capitalize on existing modules and use pre-built benchmarking infrastructure. You will work directly with our clients and McKinsey colleagues to deploy our digital capabilities and ensure we bring tangible, lasting impact to clients. Our client project teams work with major global organizations across multiple industries to solve their most challenging problems. In most cases, this means working on site, directly with client engineering groups. Additionally, you will work with internal product development teams to ensure we optimize our capabilities and constantly innovate. Your Qualifications and Skills Post-graduate degree in operations management, statistics, or industrial engineering, with a strong quantitative underpinning 8+ years’ experience in a client-facing consulting role configuring and deploying supply chain planning systems such as O9, SAP IBP, Kinaxis, Blue Yonder, E2Open, OMP, Anaplan, etc. Good understanding of data requirements for advanced planning systems and the technical requirements for data integration and optimization Experience in leading a technical team on solution delivery Experience with agile and scrum methodologies and/or familiarities with common ERP systems (e.g., SAP) preferred Statistical, optimization and simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is desirable Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization Skills to communicate complex ideas effectively Demonstrated aptitude for analytics Comfortable with extensive travel, up to 80% Show more Show less

We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities Lead and contribute to internal optimization-focused data science projects from design to deployment. Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. Collaborate with business stakeholders to gather requirements and translate them into data science use cases. Build robust data pipelines and use statistical and machine learning methods to drive insights. Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. Minimum 8 years of relevant experience in data science, with a strong focus on optimization. Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. Experience with end-to-end lifecycle of internal optimization projects. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. Familiarity with dashboards and visualization tools like Power BI or Tableau. Prior experience in consulting or internal centers of excellence (CoE) is a plus. Additional Notes This is a contractual/project-based role and not a permanent/full-time position. Compensation will be finalized post-interview, based on mutual agreement and project scope. The project may be divided into phases, with compensation linked to successful milestone completion. Skills: data science , communication , mentoring , optimization , metaheuristic algorithms,sql,linear programming,data pipelines,python,machine learning,mathematical optimization,mixed-integer programming,operations research,statistical methods,heuristic algorithms

Job Title : O9 Solutions Consultant Location : PAN India Experience : 5 Years - 10 Years Notice Period : Immediate Joiners to 30 Days ( Not considering the candidate's with 60 Days and 90 Days NP ) Desired Skills : ✅ 5+ years of experience on SCM ✅ 2+ years of experience on O9 ✅ Hands-on expertise in Supply Planning and o9 Supply Chain Solver is a must ! Job Description : 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 What you should possess: At least 5 years of experience with implementing Demand planning applications is a MUST 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. 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 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. Interested candidate can share me your profile to the below mail Id : harsha.kulkarni@cogniznat.com Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary: UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. What you’ll do for us… Demonstrate thorough knowledge of industry best practices, business processes, o9’s solutions, technical architecture, and value proposition. Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of data loads and validating the e2e workflows. Identify any design issues in the existing setup and co-ordinate with other o9 consultants to solve the business problem. Be the single point of contact for any platform level upgrade/patch/hot fix. Configure the o9 platform based on the change requests/enhancements post go-live and deliver them to solve deep operations / supply chain problems. Create and execute workflow and data analytics test-cases. Work on bugs/issues and track progress at resolving issues using support tool. Support 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. What you’ll have… Experience: 2+ years of experience with implementing planning applications is a MUST. Education: Btech/BE/MCA/Mtech Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Characteristics: Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability to 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. We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. What we’ll do for you… Competitive salary and benefits. High growth organization - very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day. Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials. If you’re in the office, feel free to join these events in person. Food and drink: Enjoy healthy snacks, fresh fruit, teas and coffees on us. Work Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared More about o9…. o9 Solutions is one of the fastest-growing enterprise SaaS companies in the world today. As per the last public disclosure, o9 was valued at approximately $3.7B. Our mission is to digitally transform planning and decision-making for small and large enterprises. We have a high-energy, values driven, people centric culture that focuses on being the most valuable partner to our clients. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, NIKE, Walmart, AB-InBev, Starbucks, Danone, Caterpillar, Toyota and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Bangalore, Tokyo, Seoul, and Sao Paulo. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, color, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value. o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

Title : Principal Data scientist Location: Chennai or Bangalore Experience: 10-13 years Job Summary We are seeking a highly skilled and techno-functional Optimization Specialist with 10–13 years of experience in developing enterprise-grade optimization solutions and platforms. The ideal candidate will possess deep expertise in mathematical optimization, strong hands-on Python programming skills, and the ability to bridge the gap between technical and business teams. You will lead the design and deployment of scalable optimization engines to solve complex business problems across supply chain, manufacturing, pricing, logistics, and workforce planning. Key Responsibilities Design & Development : Architect and implement optimization models (LP, MILP, CP, metaheuristics) using solvers like Gurobi, CPLEX, or open-source equivalents. Platform Building : Lead the design and development of optimization-as-a-service platforms with modular, reusable architecture. Techno-Functional Role : Translate business requirements into formal optimization problems and provide functional consulting support across domains. End-to-End Ownership : Manage the full lifecycle from problem formulation, model design, data pipeline integration, to production deployment. Python Expertise : Build robust, production-grade code with modular design using Python, Pandas, NumPy, Pyomo/Pulp, and APIs (FastAPI/Flask). Collaboration : Work with business stakeholders, data scientists, and software engineers to ensure solutions are accurate, scalable, and aligned with objectives. Performance Tuning : Continuously improve model runtime and performance; conduct sensitivity analysis and scenario modeling. Innovation : Stay abreast of the latest in optimization techniques, frameworks, and tools; proactively suggest enhancements. Required Skills & Qualifications Bachelor’s or Master’s in Operations Research, Industrial Engineering, Computer Science, or related fields. 10–12 years of experience in solving real-world optimization problems. Deep understanding of mathematical programming (LP/MILP/CP), heuristics/metaheuristics, and stochastic modeling. Proficiency in Python and experience with relevant libraries (Pyomo, Pulp, OR-Tools, SciPy). Strong experience building end-to-end platforms or optimization engines deployed in production. Functional understanding of at least one domain: supply chain, logistics, manufacturing, pricing, scheduling, or workforce planning. Excellent communication skills – able to interact with technical and business teams effectively. Experience integrating optimization models into enterprise systems (APIs, cloud deployment, etc.). Preferred Qualifications Exposure to cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Familiarity with data visualization (Dash, Plotly, Streamlit) to present optimization results. Certification or training in operations research or mathematical optimization tools. Show more Show less

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

Role Summary : We are seeking a highly skilled Senior Data Science Consultant with 8+ years of experience to lead an internal optimization initiative. The ideal candidate should have a strong background in data science, operations research, and mathematical optimization, with a proven track record of applying these skills to solve complex business problems. This role requires a blend of technical depth, business acumen, and collaborative communication. A background in internal efficiency/operations improvement or cost/resource optimization projects is highly desirable. Key Responsibilities : - Lead and contribute to internal optimization-focused data science projects from design to deployment. - Develop and implement mathematical models to optimize resource allocation, process performance, and decision-making. - Use techniques such as linear programming, mixed-integer programming, heuristic and metaheuristic algorithms. - Collaborate with business stakeholders to gather requirements and translate them into data science use cases. - Build robust data pipelines and use statistical and machine learning methods to drive insights. - Communicate complex technical findings in a clear, concise manner to both technical and non-technical audiences. - Mentor junior team members and contribute to knowledge sharing and best practices within the team. Required Skills And Qualifications : - Masters or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or related fields. - Minimum 8 years of relevant experience in data science, with a strong focus on optimization. - Expertise in Python (NumPy, Pandas, SciPy, Scikit-learn), SQL, and optimization libraries such as PuLP, Pyomo, Gurobi, or CPLEX. - Experience with end-to-end lifecycle of internal optimization projects. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience working on internal company projects focused on logistics, resource planning, workforce optimization, or cost reduction. - Exposure to tools/platforms like Databricks, Azure ML, or AWS SageMaker. - Familiarity with dashboards and visualization tools like Power BI or Tableau. - Prior experience in consulting or internal centers of excellence (CoE) is a plus.

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, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. 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 and document issues and track progress of issue resolution. 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. This is a chance for you to come and 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 Show more Show less

Job Description The 55ip Quant team is looking for a quantitative professional to research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory (RIA) & wealth management firms As a Research Analyst at JP Morn Chase within the Asset and Wealth Management and the 55ip Quant team, you will have the opportunity to research, implement, test, and maintain the core algorithms of our technology-enabled investment platform for large investment advisory (RIA) & wealth management firms. If you have a background in statistical modules using software design constructs and tools, are motivated, a problem solver, and an effective team player looking to make a significant impact in supporting research projects, this role could be a perfect fit for you. This position offers the chance to grow as an independent researcher. Job Responsibilities Involve in end-to-end research, development, and maintenance of investment algorithms Contribute to development and maintenance of optimization models, take part in building out the research and development framework Thoroughly vet investment algorithmic results and contribute to the research data platform design Investigate datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements Take part in research & code reviews , develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live Support research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods Collaborate with technology teams to ensure appropriate requirements, standards, and integration Required Qualifications, Capabilities, And Skills Experience in a quantitative role Proficient in Python, Git and Jira Master’s degree in computer science, computational mathematics, or financial engineering Excellent mathematical foundation and hands-on experience working in the finance industry Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc. Strong communication (written and oral) and analytical problem-solving skills Strong sense of attention to detail, pride in delivering high quality work and willingness to learn An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.) Knowledgeable in SQL Preferred Qualifications, Capabilities, And Skills Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus Able to shift gears and react quickly to timely requests Self-motivated, proactive, responsive-ability to think strategically but also willing to dig into the details and tactics Understanding of LaTeX and/or RMarkdown is a plus ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Show more Show less

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 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: Master of Engineering, Master of Business Administration, 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 Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Show more Show less

Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. Be part of something revolutionary At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet. What you’ll do for us… Demonstrate thorough knowledge of industry best practices, business processes, o9’s solutions, technical architecture, and value proposition. Responsible for solution usability and uptime by resolving any customer issues in a timely fashion, ensuring accuracy of data loads and validating the e2e workflows. Identify any design issues in the existing setup and co-ordinate with other o9 consultants to solve the business problem. Be the single point of contact for any platform level upgrade/patch/hot fix. Configure the o9 platform based on the change requests/enhancements post go-live and deliver them to solve deep operations / supply chain problems. Create and execute workflow and data analytics test-cases. Work on bugs/issues and track progress at resolving issues using support tool. Support 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. What you’ll have… Experience: 2+ years of experience with implementing planning applications is a MUST. Education: Btech/BE/MCA/Mtech Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable. Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning and S&OP. Characteristics: Strong ability to lead by example and demonstrate proficiency in both product and domain. Patient listener with the ability to 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. We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. What we’ll do for you… Competitive salary and benefits. High growth organization - very strong entrepreneurial culture and no corporate politics Support network: Work with a team you can learn from and every day. Diversity: We pride ourselves on our international working environment Social: Fun after-work activities like Friday Socials. If you’re in the office, feel free to join these events in person. Food and drink: Enjoy healthy snacks, fresh fruit, teas and coffees on us. Work Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared More about o9…. o9 Solutions is one of the fastest-growing enterprise SaaS companies in the world today. As per the last public disclosure, o9 was valued at approximately $3.7B. Our mission is to digitally transform planning and decision-making for small and large enterprises. We have a high-energy, values driven, people centric culture that focuses on being the most valuable partner to our clients. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, NIKE, Walmart, AB-InBev, Starbucks, Danone, Caterpillar, Toyota and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Bangalore, Tokyo, Seoul, and Sao Paulo. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, color, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law More about us… With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law. Show more Show less

What success looks like in this role: Mathematical Modelling & Optimization Analyse complex business and industrial challenges and translate them into mathematical optimisation models. Develop linear, nonlinear, mixed-integer programming (MIP), constraint programming (CP), and graph-based models to address large-scale combinatorial issues. Implement models using AMPL, Gurobi, CPLEX, Pyomo, or specialised solvers for benchmarking and testing. Explore hybrid quantum-classical algorithms for optimisation, collaborating with experts in quantum computing. Develop and apply metaheuristic optimisation techniques such as Genetic Algorithms, Simulated Annealing, and Ant Colony Optimisation to tackle large-scale, complex business challenges. Integration of Hybrid Advanced Metaheuristic and HPC Collaborate closely with our Quantum and HPC R&D teams to identify high-value combinatorial problems where quantum computing can offer a computational advantage. Develop proof-of-concept (PoC) studies that compare classical optimisation techniques with quantum/hybrid approaches. Work with software developer solution engineers to integrate HPC-powered solvers for large-scale combinatorial optimisation problems. Industry Applications & NextGen Advisory Develop decision support systems and prescriptive analytics solutions for clients in finance, logistics, cybersecurity, and smart infrastructure. Provide leadership and contribute to white papers, patents, and publications on innovative quantum optimisation methodologies. You will be successful in this role if you have: BA/BS degree and 0-2 years’ relevant experience OR equivalent combination of education and experience Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here .

Job description ORMAE is looking for Operations Research Scientist / Sr. Operations Research Scientist Who we are: - ORAME is a successful AI & Optimization Company founded and headed by Guinness World Record Holder Dr. Amit Garg an IIT Delhi Graduate who has won medals for India in Global Math Championships. ORMAE has 50+ Global Clients including 12+ $1B+ Clients. - ORMAE has helped them on 100+ Optimization & Data Science Projects across the globe including USA, Germany, UAE, Saudi Arabia, Japan & India. ORMAE is backed by 3 Angel Investors from UAE ORMAE is one of the very few Operations Research & Data Science consulting company, mainly focus in converting groundbreaking digital business transformation ideas into innovative Optimization and Data Science solutions. - Our services are extended to multiple areas like Supply Chain, logistics, health care, telecom, retail and many more Requirement: - ORMAE is looking for an experienced Operations Research Scientist/ Sr. Operations Research Scientist with sound analytics background to deliver solutions for complex problems of our clients. - One should have 5 plus years of working experience in designing and implementing complex/large scale optimization solutions. - The scientist should have exposure to Operations Research algorithm design and implementation. Advanced analytics experience is preferred. - Should have a strong interest and ability to solve mathematical modeling including column generation, cutting plane & LP tools like Cplex, Gurobi, GAMS, AMPL is expected. Skills : - Ability to understand the business problem and convert it as a mathematical problem is preferred. Exposure to Optimization & statistical software like Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is preferred. - Should have a scientific mindset and interest in Operation Research algorithms like routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, supply chain management. -Effective Client Management skills. Additional skills: - Programming experience in Python/Java/C#/ C++/R of the optimization algorithm is preferred. Education : Graduation or Masters in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a similar field from any premium institute. Perks : - Working with a young enthusiast team. - A unique experience: Working on analytics to solve real-time problems. - Working with reputed mathematician Dr. Amit Garg (Guinness World Record Holder) Flexible working hours, with a high potential OR Team. What Is in it For Me ; Candidate Benefits : - Meritocracy based Career Progression - Livewire Environment - Global Exposure - Great Technical cross training & mentorship - Happening start up - in the garden city of Bengaluru Show more Show less