62 Gurobi Jobs

Job Description Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division. Be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Job Responsibilities Design and development of optimization models and simulation models. Support OR projects individually or part of a project team. Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution. Identify and select the correct method to solve the problem while staying up to data on the latest OR methodologies. Ensure the robustness of any mathematical solution. Develop and communicate recommendations and OR solutions in easy-to-understand-way leveraging data to tell a story. Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution. Required Qualifications, Capabilities And Skills Master’s Degree with 4+ years or Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, and related disciplines operating as an operations research professional. Experience supporting OR projects with multiple team members. Hands-on experience developing simulation models, optimization models and/or heuristics. Deep understanding of math and theory behind Operations Research techniques Proficient in Open Source Software(OSS) programming languages like Python, R or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK & familiarity with basic data table operations (SQL, Hive, etc.). Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. Preferred Qualifications, Capabilities And Skills Advanced expertise with Operations Research techniques. Prior experience building Reinforcement Learning Models. Extensive knowledge of Stochastic Modelling. Previous experience leading highly complex cross-functional technical projects with multiple stakeholders. 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 Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

As an Advanced Modeling Manager in Sales Excellence COE at Accenture, you play a vital role in utilizing your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools to generate business insights. Your primary responsibility is to build models and scorecards that aid business leaders in understanding trends and market drivers, ultimately improving processes and boosting sales. Working within the Center of Excellence (COE) Analytics Modeling Analysis team, you collaborate with various functions like Sales, Marketing, and Finance to collect and process data. Your analytical skills are put to use in developing insights to support decision-making, which you communicate effectively to stakeholders. Moreover, you contribute to developing industrialized solutions in coordination with the COE team. To excel in this role, you are expected to possess a Bachelor's degree or equivalent experience, along with at least five years of experience in data modeling and analysis. Your expertise in machine learning algorithms, SQL, R, or Python, along with proficiency in Advanced Excel and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio, is crucial. Additionally, project management experience, strong business acumen, and attention to detail are valued traits. Furthermore, a Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform (GCP) and BigQuery, and experience in Sales, Marketing, Pricing, Finance, or related fields are considered advantageous. Familiarity with Salesforce Einstein Analytics, optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX, and Power Apps is beneficial for this role. Join us at Accenture, where Sales Excellence thrives on empowering individuals to compete, win, and grow by leveraging data-driven insights and advanced modeling techniques to drive success.,

Company Description Jai Infoway Pvt. Ltd. - India is an information technology and services company located at 4 Harmu Housing Colony, Near Patel Ground, Ranchi, Jharkhand, India. We specialize in delivering cutting-edge IT solutions and services to a wide range of clients. At Jai Infoway Pvt. Ltd., we are committed to innovation and excellence in every project we undertake. Overview We are seeking a highly motivated Software Development Engineer to join our backend development team. The ideal candidate will have strong algorithmic and abstract-thinking abilities, excellent problem-solving skills, and hands-on experience in C++. You will work on enhancing and maintaining complex backend modules within a large, established codebase. Experience in supply chain planning and/or operations research (OR) is a plus. Competencies, Skills, and Qualifications Essential: · Strong background in algorithm design, data structures, and complexity analysis. · Excellent problem-solving skills with the ability to break down and solve complex problems efficiently. · Ability to think abstractly and approach problems from multiple perspectives. · Willingness to analyze and understand existing complex systems, modules, and components within large codebases. · Proficiency in C++ with a focus on writing clean, readable, and efficient code. · Preference for robust, maintainable code over the use of exotic language features. · Commitment to writing well-tested, reliable code and experience with debugging tools. · Intellectual curiosity and a desire for continuous learning; adaptability to new tools, processes, and evolving technologies. · Strong communication skills and the ability to work effectively with cross-functional teams. Preferred: · Experience applying operations research (OR) tools and techniques (e.g., mathematical modeling, simulation) and familiarity with optimization software (e.g., Gurobi, CPLEX). · Understanding of or experience with supply chain planning, inventory management, and advanced planning and scheduling concepts. Responsibilities · Design, implement, and optimize complex and scalable algorithms to solve real-world problems. · Develop effective and innovative solutions to challenging technical tasks, using abstract thinking to break down problems into manageable components. · Write clean, efficient, and maintainable C++ code that adheres to industry best practices. · Maintain and refactor legacy code to ensure ongoing system reliability and performance. · Design, implement, and maintain backend modules that support business logic and operations. · Collaborate with other engineering teams to integrate backend systems with frontend and other application layers. Education MSc or BSc degree in Computer Science, Software Engineering, or a related field. Experience · Experience in software development; internships or project-based experience will also be considered. · Demonstrated ability to design and implement complex backend systems. · Familiarity with general software engineering practices, including unit testing and version.

As a Sales Excellence - COE - Advanced Modeling Specialist at Accenture, you will be part of the team that empowers individuals to compete, win, and grow by providing the necessary tools to enhance client portfolios, optimize deals, and nurture sales talent through sales intelligence. In this role, you will utilize your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, knowledge of Google Cloud Platform (GCP) and BigQuery, experience in Sales, Marketing, Pricing, Finance or related fields, familiarity with Salesforce Einstein Analytics, and understanding of optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar would be advantageous. Your responsibilities will include generating business insights to enhance processes, increase sales, and maximize profitability for Accenture. You will develop models and scorecards to aid business leaders in comprehending trends and market drivers, collaborating with operations teams to transform insights into user-friendly solutions, and managing tool access and monitoring usage. To excel in this role, you should have a Bachelor's degree or equivalent experience, exceptional English communication skills, a minimum of four years of experience in data modeling and analysis, proficiency in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools, project management experience, strong business acumen, and meticulous attention to detail. Furthermore, a sound understanding of sales processes and systems, prior experience with Google Cloud Platform (GCP) and BigQuery, working knowledge of Salesforce Einstein Analytics, familiarity with optimization techniques and packages, and experience with Power Apps would be beneficial. This position requires a minimum of 2 years of relevant experience and a Master's degree in Analytics or a similar field. Join us at Accenture, where we are committed to driving sales excellence and enabling you to leverage your analytical skills to make a meaningful impact.,

As a dynamic and motivated candidate at AnjX, you will play a crucial role in transforming global supply chains through AI-driven solutions that enhance efficiency and decision-making. Your primary responsibility will involve developing mathematical models to optimize production planning and inventory management. Collaborating with the product team, you will define constraints, objectives, and optimization goals to streamline processes and ensure reliable planning. Your role will also entail performing simulations and scenario analysis to evaluate different planning strategies. You will have the opportunity to work closely with the software engineering team to implement linear programming and mixed-integer programming models. Additionally, you will provide research support for new optimization techniques that could enhance the software's capabilities. To excel in this position, you must possess a strong understanding of linear programming, optimization techniques, and operations research concepts. Proficiency in tools such as Python, MATLAB, R, or Gurobi for optimization is essential. Your mathematical and problem-solving skills will be crucial in translating business problems into mathematical models effectively. While a background in mathematics, engineering, or operations research is preferred, knowledge of supply chain and production planning will be advantageous. This is a paid internship opportunity at AnjX, offering a monthly stipend of 8000. If you are passionate about driving operational excellence and reducing environmental impact through innovative solutions, we invite you to join our team in Chennai Office and contribute to our mission of creating platforms that drive speed, reliability, and transparency in supply chain management.,

Company Description: At AnjX, we believe that every decision impacts not only business outcomes but also the world around us. AnjX is dedicated to transforming global supply chains through AI-driven solutions that enhance efficiency and decision-making. By leveraging cutting-edge technology, AnjX helps businesses streamline processes, optimize resources, and ensure reliable planning. With a focus on demand forecasting, production planning, and inventory optimization, AnjX empowers enterprises to thrive in a rapidly evolving marketplace. Our mission is to create platforms that drive unprecedented speed, reliability, and transparency, helping organizations reduce their environmental impact while achieving operational excellence. We are seeking a dynamic and motivated candidates to join our team for a paid internship ( ₹8000/month) and contribute to the growth of AnjX. Roles and Responsibilities: Assist in developing mathematical models for optimizing production planning and inventory management. Work with the product team to define constraints, objectives, and optimization goals. Perform simulations and scenario analysis to evaluate different planning strategies. Help implement linear programming and mixed-integer programming models in collaboration with the software engineering team. Provide research support for new optimization techniques or approaches that could enhance the software. Skills Required: Understanding of linear programming, optimization techniques, and operations research concepts. Familiarity with tools like Python, MATLAB, R or Gurobi for optimization. Strong mathematical and problem-solving skills. Ability to work with cross-functional teams and translate business problems into mathematical models. Knowledge of supply chain and production planning is a plus. Background in mathematics, engineering, or operations research is preferred. On-site work at Chennai Office.

About Team The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency. We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques—such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling—but also contribute to the research community with multiple peer-reviewed publications. Roles and Responsibilities Design, develop, and deploy advanced machine learning models and algorithms for Forecasting, Operations Research, and Time Series applications. Build and implement scalable solutions for supply chain optimization, demand forecasting, pricing, and trend prediction. Develop efficient forecasting models leveraging traditional and deep learning-based time series analysis techniques. Utilize optimization techniques for large-scale nonlinear and integer programming problems. Hands-on experience with optimization solvers like CPLEX, Gurobi, COIN-OR, or similar tools. Collaborate with Product, Engineering, and Business teams to understand challenges and integrate ML solutions effectively. Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. Implement CI/CD pipelines for automated testing, deployment, and integration of machine learning models. Work closely with the Data Platforms team to collect, process, and analyze data crucial for model development. Stay up to date with the latest advancements in machine learning, forecasting, and optimization techniques, sharing insights with the team. Qualifications & Experience Experience with a Bachelor’s degree in Statistics, Operations Research, Mathematics, Computer Science, or a related field. Strong foundation in data structures, algorithms, and efficient processing of large datasets. Proficiency in Python for data science and machine learning applications. Experience in developing and deploying forecasting and time series models. Knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with optimization solvers and algorithms for supply chain and logistics problems. Strong problem-solving skills with a focus on applying OR techniques to real-world business challenges. Good to have research publications in Machine Learning, Forecasting, or Operations Research. Familiarity with cloud computing services (AWS, Google Cloud) and distributed systems. Strong communication skills with the ability to work independently and collaboratively in a team environment. Nice to Have Experience with Generative AI and Large Language Models (LLMs). Knowledge of ML orchestration tools such as Airflow, Kubeflow, and MLflow. Exposure to NLP and Computer Vision applications in an e-commerce setting. Understanding of ethical considerations in AI, including bias, fairness, and privacy. Exceptional candidates are encouraged to apply, even if they don’t meet every listed qualification. We value potential and a strong willingness to learn.

Category Engineering Experience Manager Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Manager, Data Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 2 years of people management experience Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

Voyager (94001), India, Bangalore, Karnataka Manager, Data Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 2 years of people management experience Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking a highly skilled Machine Learning Architect to design and implement cutting-edge Al/ML solutions that drive business innovation. This role requires expertise in Google Cloud, Gurobi, and Google OR, ensuring scalable and optimized machine learning models for complex decision￾making processes. Key Responsibilities •⁠ ⁠Design and develop machine learning architecturesthat align with business objectives. •⁠ ⁠Implement optimization models using Gurobi and Google OR to solve complex operational problems. •⁠ ⁠Leverage Google Cloud Al/ML services (Vertex Al, TensorFlow, AutoML) for scalable model deployment. •⁠ ⁠Collaborate with data scientists, engineers, and business stakeholders to integrate ML solutions into production. •⁠ ⁠Ensure high-performance computing and efficient resource utilization in cloud environments. •⁠ ⁠Develop automated pipelines for data preprocessing, model training, and deployment. •⁠ ⁠Monitor and enhance ML model performance, ensuring accuracy and efficiency. •⁠ ⁠Stay updated with emerging Al/ML trends and best practices. Required Qualifications •⁠ ⁠Bachelor's/Master's degree in Computer Science, Al, Data Science, or related field. •⁠ ⁠5+ years of experience in machine learning architecture and deployment. •⁠ ⁠Strong expertise in Google Cloud Al/ML services. •⁠ ⁠Hands-on experience with Gurobi and Google OR for optimization problems. •⁠ ⁠Proficiency in Python, TensorFIow, PyTorch, and cloud-based ML frameworks. •⁠ ⁠Experience in big data processing (Apache Spark, BigQuery). •⁠ ⁠Strong problem-solving skills and ability to work in cross-functional teams Preferred Qualifications •⁠ ⁠PhD in Al/ML or related field. •⁠ ⁠Experience in reinforcement learning and optimization algorithms. •⁠ ⁠Knowledge of MLOps and CI/CD pipelines for ML model deployment. •⁠ ⁠Familiarity with Google Cloud security best practices

As a Senior Supply Chain Consultant, you are a strategic force behind network transformation. Your key role is to design, simulate, and refine end-to-end supply chain networks - including suppliers, production sites, distribution hubs, and customer regions - by conducting robust scenario analyses and evaluating trade-offs between cost and service. Leveraging powerful tools such as Llamasoft/Supply Chain Guru, AIMMS, Gurobi, or Optilogic, you construct mathematical models to test hypothetical situations - like shifting demand, relocating facilities, or reconfiguring transport routes—and determine the most effective network design that optimally balances cost efficiency, service performance, agility, environmental impact, and risk. You’ll transform analytical insights into actionable strategies and compelling business cases - emphasizing cost efficiencies, enhanced delivery performance, and strengthened capacity resilience. You’ll engage with senior stakeholders to communicate these recommendations and collaborate with cross-functional partners across procurement, operations, IT, and finance to implement network enhancements and establish enduring design standards. Your impact empowers clients to shift from instinct-based decisions to a data-driven approach, building agile and future-ready supply chains Key responsibilities: Design and optimize end-to-end supply chain networks, spanning suppliers, manufacturing sites, distribution centres, and customer regions Conduct scenario-based modelling and trade-off analyses to assess cost, service, flexibility, sustainability, and risk Develop mathematical models using tools such as Llamasoft/Supply Chain Guru, AIMMS, Gurobi, or Optilogic to simulate “what-if” situations (e.g., facility relocations, demand shifts, and transportation redesigns) Translate complex analytics into strategic recommendations and comprehensive business cases, focusing on cost savings, delivery efficiency, and capacity resilience Communicate findings and network strategies to senior stakeholders in a clear and compelling manner Collaborate cross-functionally with procurement, operations, IT, and finance teams to operationalize network changes and embed new design standards Champion the shift from intuition-led to data-driven supply chain decision-making Enable clients to build agile, efficient, and future-ready supply chain Collaborate with internal teams, including operations team, business development, and implementation leads. Mentor junior consultants and support their development through internal reviews, knowledge sharing, and on-the-job training. Continuously explore and promote innovative methods, tools, and best practices to enhance solution design delivery. Qualifications: Bachelor’s or Master’s degree in engineering, Supply Chain Management, or Operations Research. Minimum 5 years of experience in Supply Chain Network Modeling including suppliers, production sites, distribution hubs, and customer regions. Technical expertise in any of the Network modeling tools like Llamasoft/Supply Chain Guru, AIMMS, Gurobi, or Optilogic. Excellent stakeholder engagement, communication, and project management skills. Demonstrated ability to mentor junior team members and work in cross-functional, multicultural teams. If you are interested in this opportunity, please apply via this LinkedIn post.

Job Title: Digital Supply Chain Transformation Analyst Experience Required: 2–4 Years Employment Type: Full-Time Job Summary: We are seeking a skilled and motivated professional with a background in Industrial Engineering and Operations Research, who is passionate about driving digital transformation in supply chain planning and optimization. The ideal candidate will have hands-on experience with optimization solvers, programming languages such as Python and C++, and a good grasp of planning systems and supply chain data. Key Responsibilities: Collaborate with technical and functional teams to develop transition interfaces for smooth system integration. Configure and customize Integrated Business Planning (IBP) applications including Demand Planning, Sales & Operations Planning, Supply Planning, Order Promising, and Transport Management Systems (TMS). Design, develop, and test functional specifications for reports, interfaces, and screens ensuring alignment with business and system requirements. Work on system development and support, particularly focused on implementation and post-go-live activities. Demonstrate strong understanding of master and transactional data to support system design. Utilize Python, C++, SQL, and OPAL for development, with exposure to MS SQL databases and Tableau reporting tools considered a plus. Must-Have Qualifications: Degree in Industrial Engineering, Operations Research, or a related field. 2–4 years of systems development experience in supply chain or manufacturing domains. Proficiency with solvers (e.g., Gurobi, CPLEX). Hands-on experience in Python, C++, SQL, and OPAL. Knowledge of MS SQL and Tableau is desirable. Good-to-Have Skills: Experience collaborating with cross-functional teams to create functional/technical design documents. Ability to provide technical and non-technical user training across various project phases (Pre-implementation, Go-live, Post Go-live). Highly cost-conscious and solution-oriented mindset with a focus on efficiency. Ability to manage pressure, work in demanding situations, and deliver high-impact outcomes. Strong integrity in maintaining business process and data accuracy. Excellent communication, problem-solving, interpersonal, and collaboration skills. What We Offer: Exposure to cutting-edge supply chain planning solutions. Opportunity to work in a dynamic and fast-paced environment. Competitive compensation and career growth potential.

As a Sales Excellence COE Advanced Modeling Manager at Accenture, you will be part of a team that empowers individuals to compete, win, and grow by providing the necessary tools to build client portfolios, optimize deals, and enhance sales talent through sales intelligence. Your role will involve utilizing machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio. Additionally, familiarity with Google Cloud Platform (GCP), BigQuery, Salesforce Einstein Analytics, and optimization techniques such as Pyomo, SciPy, PuLP, Gurobi, and CPLEX is beneficial. In this position, you will work within the Center of Excellence Analytics Modeling Analysis team to generate insights that support Accenture in enhancing processes, increasing sales, and maximizing profitability. Your responsibilities will include collecting and processing data from various functions, analyzing data to develop business insights, communicating these insights effectively, and collaborating with the team to create practical solutions. The ideal candidate should possess a Bachelor's degree or equivalent experience, excellent English communication skills, and a minimum of five years of experience in data modeling and analysis. Proficiency in project management, business acumen, and attention to detail are essential for success in this role. A Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform, experience in Sales, Marketing, Pricing, Finance, or related domains, familiarity with Salesforce Einstein Analytics, and expertise in optimization techniques and packages are additional qualifications that would be advantageous. Join us at Accenture and be part of a dynamic team that is dedicated to enabling sales excellence and driving growth.,

Role - Quantum Developer Required Technical Skill Set - Quantum Computing, Optimization, AI/ML Desired Experience Range - 10+ Years Location of Requirement - PAN India Desired Competencies (Technical/Behavioural Competency) Must-Have Strong understanding of quantum mechanics and quantum computing principles Proficiency in python & numerical libraries Experience with quantum frameworks/SDK’s (like Qiskit, Pennylane etc.) Immense experience with classical algorithms & optimization techniques Hands-on experience in modelling & solving optimization problems using various solvers Experience with implementing algorithms on NISQ era devices & quantum annealers Strong foundation in linear algebra (advanced), applied mathematics Good-to-Have Familiarity with different cloud-based quantum services like AWS Brake Knowledge in adjacent areas like machine learning, HPC & cryptography Tensorflow & pytorch (for quantum machine learning apps) Responsibility of / Expectations from the Role Design & implement quantum algorithms for specific use cases (on different problem types – crypto, optimization, AI/ML, simulation) across different manufacturing domains Develop hybrid quantum-classical solutions using various quantum frameworks/SDK’s like Qiskit, Pennylane, Bracket Deploy & test the solutions on different quantum simulators and hardware from different providers like D-wave, IBM, IonQ etc Design mathematical model for optimization problems (MILP, LP, NLP etc.) Work with the cross functional team to understand the problem requirements and model constraints, objectives & variables Implement the model(s) using solvers like Cplex, Gurobi etc Benchmark the results from quantum solutions against classical methods Explore any new tools/frameworks/products launched in quantum computing space

India Foods Business is a full-service manufacturing and marketing unit comprising over 500 employees spread across over multiple locations across India. Our strong suite of products includes the Pillsbury, Betty Crocker, Haagen-Dazs and Nature Valley brands in both direct-to-consumer and B2B channels across Retail, Food Service and Bakeries & Exports. We combine the capabilities of a global enterprise with the entrepreneurial spirit and cultural awareness you would expect of a smaller local company. Position Title Sr. Analyst – SC Adv Analytics, OU Function/Group Logistics Location Mumbai Shift Timing 1:30 PM to 10:30 PM Role Reports to Assistant Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. Link Purpose of the role Supply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with all supply chain functions (i.e., plan, source, make, deliver and customer service teams), business units and other cross functional partners for developing solutions to drive business value. This team also drives step-change innovation and improvements in business practices by delivering actionable insights through advanced analytics and supply chain expertise. The role involves building, maintaining, and executing optimization and simulation models to help identify, analyze, and implement opportunities in the areas of manufacturing network design and optimization, supply network planning and realignment by incorporating supply chain costs, manufacturing complexity, inventory optimization and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing & distribution network and provides least cost sourcing and distribution options. Works on strategic projects and new capability development and enhancement initiatives. Key Accountabilities 15% - Requirement Gathering & Data Collection: Understand Project charter- Business context, Scope, Outcome & success criteria. Collaborate with the Global & India Supply Chain partners to gather the required information and conduct the data validations & analysis. Proactively analyze the current set of the data based on facts and root cause analysis. Perform data massaging – Outlier detection and handle missing data etc. and share key findings with the team lead. 40% Model building & Scenario Evaluation Solve business problems in the areas of Supply Chain by developing different modeling approaches/techniques using Descriptive/Prescriptive/Predictive analytics and recommend the best approach. Develop a detailed solution design/architecture or re-engineer an existing solution design. Build/Refresh the models periodically and provide recommendations to business teams. Run & analyze what-if scenarios by leveraging advanced tools and provide insights to the business team. 20% Model result analysis & presentation Detailed and quantitative analysis of the model output and clearly articulate findings and recommendations Synthesize large data sets/model results into usable insights and business recommendations Build presentation and communicate the results effectively with the broad audience of clients/stakeholders/cross-functional teams. Provides analytics support during the implementation and transition phase. 15% Other Responsibilities: Improving Participate in brainstorming sessions on new capabilities development/ideation sessions Work on enhancements in current capabilities/process improvements Support new technologies by participating in testing sessions & training sessions Sustaining Develop and design governance framework Ensure strong and clear process/training/project documentation and controls are in force Creating assumption documents for client meetings/methodology documents Participating in weekly directional meetings, team meetings & townhalls 10% Self-Development: Upskilling through internal & external training/courses, in behavioral, functional, analytical & technology areas Participating in innovation challenges, Hackathon competitions, Knowledge sharing sessions Participating in training sessions at the team/departmental level Participating in internal case studies to acquire business acumen Specific Job Experience Or Skills Needed End to End Supply Chain Knowledge Critical thinking with strong analytical and problem-solving skills Ability to formulate mathematical model & techniques Either of Technical know- how of optimization – Linear/Integer/MILP programming Technical know- how of Statistics – Distributions/ Hypothesis Testing/ Measures of Central tendency/ Regression/ Risk Analysis Technical know- how of prediction – Machine learning, various types of regression, classification and clustering techniques, time series, tree- based prediction models Technical know-how of Simulation – Discrete event simulation/Monte Carlo Understand business problems and convert into analytical problem statements Experience with model building in either of these tools Coupa Supply Chain Guru, R/Python, VBA/Macros, SQL, Solvers like CPLEX/Gurobi, etc., Simulation tools like @risk, MATLAB, etc., Machine Learning techniques/models Effective & Strong Communication Skills Storytelling with effective presentation Stakeholder Management Innovative Mindset & Learning Mindset Nice to have experience in front end application development - Rest APIs, Dash, R shiny. Competencies/Behaviors Required For Job Deliver outstanding results – Agile and self-driven individual to learn/adapt the analytics ways of working. Highly accountable to complete deliverable in a timely and effective manner. Proactive communication about any roadblock and recommend ideas and input to help team achieve greater result. Interpersonal Effectiveness – Relates well with stakeholders, colleagues & team members. Maintains a positive, supportive & appreciative attitude. Actively listens to others & demonstrates an understanding of their point of view. Clearly articulates views in written & verbal discussions. Problem Solving / Analytical skills – Ability to collect and analyze data quickly and efficiently. Can identify issues and provide ideas/solutions for resolution. Leads Innovation – Ability and confidence to identify and recommend creative solutions. Identifies both opportunities and needs for change. Adapts quickly and responds effectively to change. Identifies issues or problems and provides a respective solution. Explores and shares innovative best practices with others. Minimum Qualifications Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Masters (M. Tech/MBA/MSC) Preferred Major Area of Study: Supply Chain / Operations Research / Industrial Engineering / Statistics / Mathematics / Mechanical Engineering / Computer Engineering / Electronics Engineering / Instrumentation Engineering/ Production Engineering Required Professional Certifications Preferred Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation Preferred Institutes : IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University Preferred Qualifications Master’s degree 3 years of related experience Major Area of Study in Industrial Engineering or Supply Chain Professional Certifications: CSCMP, APICS Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

Job Title - Sales Excellence COE Advanced Modeling Manager- CF Management Level:ML7 Location:Open Must have skills: Machine learning algorithms, SQL, R, or Python, Advanced Excel, Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Good to have skills: Google Cloud Platform (GCP) and BigQuery , Working knowledge of Salesforce Einstein Analytics; Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar Job Summary : Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. Roles & Responsibilities: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage You will: Collect and process data from functions such as Sales, Marketing, and Finance Analyze data to develop business insights that support decision making. Communicate data insights in a clear and concise manner. Work closely with the COE team to develop industrialized solutions. Professional & Technical Skills: Bachelors degree or equivalent experience Excellent oral and written communication in English At least five years of experience doing data modeling and analysis work, which may include Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Project management experience Strong business acumen and attention to detail Additional Information: Masters degree in Analytics or similar field Understanding of sales processes and systems Knowledge of Google Cloud Platform (GCP) and BigQuery Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar Experience working with Power Apps About Our Company | AccentureQualification Experience: Minimum 5 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field

Job Title: Sales Excellence - COE - Advanced Modeling Specialist - CF Management Level: ML9 Specialist Location: Open for all Must have skills: - Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Good to have skills: Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Job Summary : We are: Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. Roles & Responsibilities: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage You will: Collect and process data from functions such as Sales, Marketing, and Finance Analyze data to develop business insights that support decision making. Communicate data insights in a clear and concise manner. Work closely with the COE team to develop industrialized solutions. Professional & Technical Skills: Bachelors degree or equivalent experience Excellent oral and written communication in English At least four years of experience doing data modeling and analysis work, which may include Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Project management experience Strong business acumen and attention to detail Additional Information: Understanding of sales processes and systems. Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Experience working with Power Apps. About Our Company | AccentureQualification Experience: Minimum 2 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field.

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

Role Description Role Proficiency: Independently develop data-driven solutions to difficult business challenges by utilize analytical statistical and programming skills to collect analyze and interpret large data sets under supervision. Outcomes Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to make models that can generate business insights Create new experimental frameworks or build automated tools to collect data Correlate similar data sets to find actionable results Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns. Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc Develop processes and tools to monitor and analyse model performance and data accuracy. Develop Data Visualization and illustrations on given business problem Use predictive modelling to increase and optimize customer experiences and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Set FAST goals and provide feedback on FAST goals of reportees Measures Of Outcomes Number of business processes changed due to vital analysis. Number of Business Intelligent Dashboards developed Number of productivity standards defined for project Number of Prediction and Modelling models used Number of new approaches applied to understand the business trends Quality of data visualization done to help non-technical stakeholders comprehend easily. Number of mandatory trainings completed Outputs Expected Statistical Techniques: Apply statistical techniques like regression properties of distributions statistical tests etc. to analyse data. Machine Learning Techniques Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis. Creating Advanced Algorithms Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc. Data Visualization Visualize and present data for stakeholders using: Periscope Business Objects D3 ggplot etc. Management And Strategy Oversees the activities of analyst personnel and ensures the efficient execution of their duties. Critical Business Insights Mines the business’s database in search of critical business insights and communicates findings to the relevant departments. Code Creating efficient and reusable code meant for the improvement manipulation and analysis of data. Version Control Manages project codebase through version control tools e.g. git bitbucket etc. Predictive Analytics Seeks to determine likely outcomes by detecting tendencies in descriptive and diagnostic analysis Prescriptive Analytics Attempts to identify what business action to take Create Reports Creates reports depicting the trends and behaviours from the analysed data Training end users on new reports and dashboards. Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards and process Skill Examples Excellent pattern recognition and predictive modelling skills Extensive background in data mining and statistical analysis Expertise in machine learning techniques and creating algorithms. Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking: Data Analysts must look at numbers trends and data and come to new conclusions based on the findings. Strong meeting facilitation skills as well as presentation skills. Attention to Detail: Making sure to be vigilant in the analysis to come to correct conclusions. Mathematical Skills to estimate numerical data. Work in a team environment and have strong interpersonal skills to work in collaborative environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Programming languages – Java/ Python/ R. Web Services - Redshift S3 Spark DigitalOcean etc. Statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis etc. Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights etc. Computing Tools - Map/Reduce Hadoop Hive Spark Gurobi MySQL etc. Database languages such as SQL NoSQL Analytical tools and languages such as SAS & Mahout. Practical experience with ETL data processing etc. Proficiency in MATLAB. Data visualization software such as Tableau or Qlik. Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets DBMS Operating Systems and software platforms Knowledge about customer domain and about sub domain where problem is solved Proficient in at least 1 version control tool like git bitbucket Have experience working with project management tool like Jira Additional Comments Must have -Statistical Concepts, SQL, Machine Learning (Regression and Classification), Deep Learning (ANN, RNN, CNN), Advanced NLP, Computer Vision, Gen AI/LLM (Prompt Engineering, RAG, Fine Tuning), AWS Sagemaker/Azure ML/Google Vertex AI, Basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) Skills Data Management,Data Science,Python

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience Position: Senior Associate Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage Proficiency in forecasting techniques (e.g., Holt-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised) Strong command of statistical modeling, testing, and inference Proficient in using GCP tools: BigQuery, Vertex AI, Dataflow, Looker Building data pipelines and models for forecasting, optimization, and scenario planning Strong SQL and Python programming skills; experience deploying models in GCP environment Knowledge of orchestration tools like Cloud Composer (Airflow) Nice To Have Familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools (e.g., Cloud composer) Strong communication and stakeholder engagement skills at the executive level Roles And Responsibilities Assist analytics projects within the supply chain domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute

Job Title: Data Scientist - Optimization About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a Data Scientist with deep expertise in optimization and applied operations research to help solve complex scheduling, resource allocation, and flow optimization problems across large-scale operational environments. The ideal candidate will combine mathematical modeling skills with core data science capabilities to design and implement solutions that are both analytically rigorous and practically impactful. Key Responsibilities: Design and build optimization models to support decision-making in scheduling, batch movement, or network planning Translate real-world business rules and constraints into mathematical formulations Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools Work with historical and real-time data to validate and tune models Collaborate with engineering, product, and business teams to integrate models into production environments Present insights and trade-offs to both technical and non-technical stakeholders Required Skills & Experience: 5+ years of experience in data science, with strong focus on optimization or operations research Proficient in Python, relevant libraries and tools: Optimization : Pyomo, PuLP, OR-Tools, cvxpy Data Science : pandas, NumPy, scikit-learn, matplotlib/seaborn Tools : Gurobi: CPLEX, or Google OR-Tools Hands-on experience with linear programming, mixed integer programming, or constraint programming Ability to structure, clean, and analyze complex datasets Strong communication skills for explaining technical models to diverse audiences Preferred (Nice to Have): Experience working on scheduling, routing, or supply chain optimization problems Exposure to forecasting models or simulation-based decision support Familiarity with deploying models into production environments or building APIs for model consumption Background in applied mathematics, industrial engineering, computer science, or related fields

We are seeking a Data Science & Optimization Engineer to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modeling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex optimization problems (e.g., bin packing, TSP), and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement predictive models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Utilize Gurobi (nice-to-have) or similar solvers for advanced optimization techniques. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Experience with Gurobi or other mathematical optimization solvers. Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person

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

Machine Learning Architect Location: Pune & Remote Experience: 8+ Years Job Summary: We are hiring a Machine Learning Architect with expertise in cloud-native ML deployment, optimization using Gurobi, and advanced decision systems on Google Cloud. Key Responsibilities: Design scalable ML solutions using GCP (Vertex AI, AutoML) Develop optimization models using Gurobi and Google OR Build automated ML pipelines Collaborate with business and engineering teams Qualifications: Bachelor's/Master’s in Computer Science, AI, or Data Science 5+ years in ML architecture Proficient in TensorFlow, PyTorch, Gurobi, BigQuery, Apache Spark Preferred: PhD or experience in Reinforcement Learning MLOps & CI/CD pipelines familiarity Apply Now! Job Types: Full-time, Permanent Pay: ₹2,160,000.00 - ₹2,280,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC? What is your official notice period/last working day? Experience: Total: 8 years (Required) ML Architecture: 5 years (Required) Work Location: In person