21 Linear Programming Jobs

As an Optimization Specialist, you will be responsible for building and scaling mathematical models and process optimization. Your role will involve designing and implementing optimization models such as LP, MIP, and MILP for real-world scheduling, routing, and planning scenarios. Additionally, you will be expected to construct simulation models to evaluate performance under uncertainty, collaborate with cross-functional teams to refine problem definitions, and translate them into quantitative models. You will work closely with data scientists, software engineers, and business analysts to drive predictive optimization workflows using AI/ML algorithms for forecasting, clustering, and classification. Conducting what-if analyses and sensitivity testing to support decision-making will be a crucial part of your responsibilities. Furthermore, you will support research and pilot initiatives involving Quantum-Inspired Optimization (QUBO, hybrid models) and present findings and model performance to stakeholders through clear and concise visualizations and documentation. To excel in this role, you must possess a strong knowledge of Linear Programming (LP), Mixed Integer Programming (MIP/MILP), Constraint Programming, and have experience formulating and solving large-scale combinatorial problems. Hands-on experience with Optimization libraries like Pyomo, PuLP, and solvers such as CPLEX, Gurobi, GLPK, or CBC will be beneficial. Proficiency in programming languages like Python, R, or MATLAB is essential, along with simulation expertise in tools like SimPy, AnyLogic, Arena, or equivalent for discrete-event or agent-based simulation. Your educational background should include a PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field. Additionally, applied machine learning knowledge including forecasting models, clustering, and model evaluation metrics (e.g., MAPE, RMSE) will be advantageous. Strong communication and documentation skills are necessary to effectively present models and insights to non-technical audiences.,

As a Supply Planning & Response (E2PR) professional, your primary goal is to ensure the efficient alignment of customers" demands with all distribution or production processes within a company-wide or extended supply network. You will play a crucial role in identifying material and capacity constraints and aligning resources based on customer or business priorities. Your operational challenge will be to provide precise delivery dates consistently, requiring you to understand and respond to dynamically changing requirements rapidly, flexibly, and reliably. The Supply Planning & Response application you will work with offers key features such as responding to and implementing short-to long-term supply plans efficiently, utilizing graph-based patented algorithms, supporting various manufacturing methods, offering a feature-rich UI/UX for visualizing the supply network, utilizing in-memory database for enhanced computation performance, and providing flexible reporting framework along with analytics capabilities. In this role, you can expect: - A varied and challenging position in a multinational and innovative supply chain company - A culture that is open-door, team-centric, and values collaborative and inclusive development - Competitive and performance-based remuneration including bonus and stock options - Flexible work model with options for hours and location - Unlimited Leave Policy - Comprehensive medical and pension plans - Training and certification opportunities to shape and achieve your career goals Your primary responsibilities will include working with global product development teams, contributing to server-side requirements, design, and development to solve complex supply chain management problems, participating in design and architecture discussions, aiming towards building a quality product within defined scope and release cycle, being open to learning new technologies and bringing new algorithms on board, and mentoring junior developers. To be successful in this role, you should have: - A degree in Computer Science, Engineering, or equivalent field - Strong knowledge of algorithms, data structures, optimization techniques, and object-oriented design patterns with implementation skills in Java or any Object-oriented programming language - Knowledge in Supply Chain Management, ERP domain, or equivalent - Understanding of Operations Research methodologies, linear programming, optimization solvers - Familiarity with software development life cycles, agile/scrum development, and unit testing - Strong analytical and problem-solving skills, ability to present ideas clearly, and a strong desire to learn - Excellent communication and documentation skills Nice-to-have skills and experiences include knowledge of containerization technologies like docker and Kubernetes, and cloud infrastructure expertise.,

Advanced Data Science Consultant - (Optimization / Supply Chain and Manufacturing) Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do: Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems in the area of Supply Chain and Manufacturing. Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems in the pharmaceutical manufacturing, supply chain and operations management space and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You'll Bring: MS/PhD degree in Computer Science, Statistics, Operations Research, or related fields, with a focus on Optimization, plus 2-4 years of relevant post-PhD work experience in implementing solutions in Manufacturing, Supply Chain, Operations Management areas 6 - 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, nonlinear programming, and other optimization topics Experience with commercial solvers such as CPLEX, Gurobi, etc. preferred Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Relevant domain knowledge preferred; (healthcare life sciences / transportation/ hi-tech / insurance / retail); Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity.

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for leveraging your deep expertise in data science and supply chain analytics to engage with global Supply Chain Leaders. Your role will involve defining analytical solutions that optimize processes, provide predictive insights, and facilitate strategic decision-making within the supply chain ecosystem. To excel in this role, you should possess a Master's degree with at least 6 years of experience in Supply Chain Analytics/Data Science, or a Graduate degree with 7+ years of relevant experience. You will be based in Bangalore, India, with flexibility to work from offices in Chennai, Pune, NCR, or Kolkata based on your preference. Key responsibilities include leading client engagements, mentoring teams, and designing advanced analytics solutions for various supply chain functions such as demand forecasting, inventory optimization, and procurement analytics. You will also be involved in developing sustainable analytical tools, overseeing technical solution architecture, and driving adoption of modern data architectures. The ideal candidate will have a deep understanding of supply chain functions, strong programming skills in Python/R, proficiency in SQL for data querying, and experience with machine learning algorithms and visualization tools such as Tableau. Additionally, leadership, consulting, and technical competencies are essential for success in this role. At Tredence, you will have the opportunity to work in a highly impactful role, take ownership of projects, and grow both thought leadership and operational leadership capabilities. You will collaborate with industry-leading talent, receive substantial performance-based compensation, and access cutting-edge analytics tools and methodologies. If you are passionate about leveraging data to drive business value and possess a growth mindset along with strong analytical, technical, and leadership skills, we welcome you to join us at Tredence on our innovative journey.,

1.Familiar with CVXPY, NumPy, Flash, Pandas , Python 2.Should be Experienced with Linear Equations / Algorithms 3.AI / ML Techniques Used Required Candidate profile 1.Ability to understand scenarios that are complex and create mathematical models to solve them using the packages stated herein.

As an Associate Software Engineer Trainee at Jungleworks in Mohali, you will be part of a team that thrives on solving business challenges through innovative technology. We are seeking individuals who are passionate about leveraging technology and innovation in a collaborative team setting. Your role will involve collaborating with experienced professionals to design and develop innovative products. You will work in a large distributed computing environment, leading fundamental changes in the industry. Your responsibilities will include creating solutions to run predictions on distributed systems, designing and coding solutions, and delivering high-quality software in an agile environment. Basic qualifications for this role include being in the final year of a Bachelors or Masters Degree in Computer Science, Computer Engineering, or a related field from Tier 1 and Tier 2 colleges. You should have familiarity with languages such as MEAN, MERN stack, .NET/C# stack, and FReMP stack (Flask, React, MongoDB, Python), as well as knowledge of Computer Science fundamentals. Preferred qualifications include previous technical internships, experience with distributed systems and relational databases, knowledge of optimization mathematics, and the ability to effectively articulate technical challenges and solutions. At Jungleworks, we offer a growth-oriented work environment where you will have the opportunity to develop professionally and tackle challenges head-on. We believe in providing opportunities based on merit and fostering rapid growth. If you are seeking a fast-paced organization where you can grow, we invite you to join us.,

As an experienced professional in the field, you will be expected to demonstrate proficiency in a range of key areas. Your expertise should include statistical modeling, traditional machine learning, and Gen AI. Moreover, you should possess knowledge of various deep learning models such as LSTM, N-BEATS, CNN, and RNN. In addition, you are required to be well-versed in optimization techniques including linear programming and mix integer programming, along with familiarity with optimization tools like Opensolver and Gurobi. Your role will involve working with Data Bricks and Snowflake, engaging with ML/DL models, and interacting directly with business stakeholders and customer FTEs. Therefore, strong technological skills and effective communication are essential for success in this position. The must-have skills for this role include Time Series Modelling (LSTN, CNN, N-BEATS, RNN), proficiency in Data Bricks, statistical knowledge, Python programming, optimization expertise, as well as experience with Opensolver and Gurobi. Additionally, it would be beneficial to have experience with GenAI and Snowflake. The ideal candidate should have a minimum of 8-10 years of experience in the field, showcasing a deep understanding of the mandatory skills required for this role. Your ability to leverage your expertise in time series modeling, data manipulation, statistical analysis, and optimization tools will be instrumental in driving successful outcomes for the organization.,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for combining deep data science expertise with supply chain domain knowledge. Your role will involve engaging with Supply Chain Leaders globally to define analytical solutions that drive process optimization, predictive insights, and strategic decision-making across the supply chain ecosystem. You will lead 1-3 client engagements simultaneously, ranging from high-intensity pilots to full-scale solution implementations. This will involve interfacing with global Supply Chain Leaders to identify analytical needs and solution requirements, building and maintaining strong client relationships, and translating complex supply chain challenges into data-driven analytical frameworks. In terms of team leadership and project management, you will lead and mentor teams of Analysts, Senior Analysts, and Engineers, maintain command over project status and deliverables, actively contribute to technical solutions, and drive last-mile adoption through effective change management strategies. Your responsibilities will also include designing and implementing advanced analytics solutions for supply chain optimization, building predictive models for demand forecasting and inventory optimization, developing machine learning algorithms for procurement analytics and transportation optimization, and creating repeatable analytical tools and data models to solve specific business problems. You will apply statistical methods and operations research techniques to address complex supply chain challenges. Additionally, you will design sustainable, scalable, and self-serve analytical solutions for clients, oversee the development of data pipelines and ETL processes for supply chain data, ensure the integration of analytical solutions with existing supply chain software, and drive the adoption of cloud-based analytics platforms and modern data architectures. To be successful in this role, you should have a Master's degree with 6+ years of relevant experience in Supply Chain Analytics/Data Science or a Graduate degree with 7+ years of relevant experience. You should also possess deep expertise in at least one supply chain function, advanced proficiency in programming languages like Python/R, strong database management skills, experience with machine learning, and proficiency in data visualization tools. In summary, this role offers a tremendously impactful opportunity to join the Supply Chain Practice Leadership team, with independence in design and execution, opportunity for career growth, access to cutting-edge analytics tools, global exposure, and substantial performance-based compensation. As an Associate Manager, you will be expected to demonstrate expertise in analytical thinking, technical design, process consulting, program management, product management, and growth leadership.,

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.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques to help clients optimize their operations and achieve strategic goals is key. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling play a crucial role in supporting clients in solving complex business problems. Candidates with 4+ years of hands-on experience are sought for the position of Senior Associate in supply chain analytics. Successful candidates should possess proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design. Additionally, hands-on experience working on optimization methods like linear programming, mixed integer programming, and scheduling optimization is required. Proficiency in forecasting techniques and machine learning techniques, along with a strong command of statistical modeling, testing, and inference, is essential. Familiarity with GCP tools like BigQuery, Vertex AI, Dataflow, and Looker is also necessary. Required skills include building data pipelines and models for forecasting, optimization, and scenario planning, strong SQL and Python programming skills, experience deploying models in a GCP environment, and knowledge of orchestration tools like Cloud Composer (Airflow). Nice-to-have skills consist of familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools, as well as strong communication and stakeholder engagement skills at the executive level. The roles and responsibilities of the Senior Associate involve assisting analytics projects within the supply chain domain, driving design, development, and delivery of data science solutions. They are expected to interact with and advise consultants/clients as subject matter experts, conduct analysis using advanced analytics tools, and implement quality control measures for deliverable integrity. Validating analysis outcomes, making presentations, and contributing to knowledge and firm building activities are also part of the role. The ideal candidate should hold a degree in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA from a 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

: Job TitleCorporate Banking Strats Corporate TitleAssociate Location Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche banks global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Corporate Banking Strats. The candidate is required to work in collaboration with London/New York team on various quantitative and regulatory driven projects. He is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate his work effectively with various stakeholders spread across globe. What well offer you: 100% reimbursement under child care assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Centralization and automation of Risk in Banking Book for Corporate Banking business Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the Develop applications/libraries for the implementation of the soliton Your skills and experience Technical Skills- Strong educational background in Engineering/Science, preferably from good colleges in India Programming Skills At least 3 years experience in Python programming At least 2 years experience with relational database design (oracle, mysql) Good knowledge of C++ programming concepts ( Class, Pointers, Data structure stacks, queue) Quant/Analytical Skills Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc) Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms Experience/Knowledge of working with big data (data science) Behavioral Skills Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job titleDebt Strategic Analytics Corporate Title:VP LocationMumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche banks global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent, and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Debt Strategic Analytics (Strats). The candidate is required to work in close collaboration with London/Singapore teams on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills to coordinate and communicate effectively with various stakeholders spread across the globe. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Accident and Term life Insurance Your key responsibilities The Quantitative Strategist (Quant Strat) is responsible for designing, developing and implementing through analytical (quantitative) and direct coding (e.g., via C++; Python or any other relevant application), quantitative strategic models, risk management (credit risk, market risk, anti-financial crime etc.) and pricing solutions to meet business & control needs and drive respective strategies or regulatory adherence. Some responsibilities for this role include, but not limited to: Work with Capital and Liquidity Management colleagues in Treasury to develop a framework to optimize funding for the bank, manage asset and liability mismatches in the liquidity pool and bring more transparency into the process. Development of complex processes, framework or risk analysis as well as improvements specially focused on Liquidity Risk. Implement, enhance and maintain existing framework to measure market risks across the bank from Treasury perspective. Remediation of regulatory as well as external and internal findings against any existing risk model. Build quant driven tools and products for front-office and control functions. Coordinate and gather information from various stakeholders for deeper understanding of the business. Develop and design tables and databases required for storage of the data. Design an automated solution which is optimized and scalable. Your skills and experience Strong programming skills in C++ and Python preferably in financial industry. Relevant experience of at least 8 years in Banking or Software Development. At least 3+ year experience with relational database design (oracle, mysql). Strong understanding of Data Structures & Algorithms, memory optimization etc. Good quantitative skills in Probability, Calculus, and Linear Algebra. Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc.) is a plus. Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms is a plus. Relevant experience in some of financial products like Bonds, Swaps, Cross Currency Swaps, Loans & Deposits is a plus. Strong communication skills and presentation ability with attention to detail. Good problem-solving instincts and strong analytical skills. Strong educational background in Engineering/Science, preferably from top tier colleges in India. How well support you . . . . .

What You'll Do Execute and lead the application of numerical optimization techniques on large, unstructured datasets to solve problems. Collaborate with engineering teams to deploy optimization-based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner. Play a key role in the development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities. Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings. Evaluate emerging datasets and technologies and help define our analytic platform. Own the development of select assets/accelerators that create scale. Contribute to thought leadership through research and publications. Guide and manage project teams of Associates/Associate Consultants. What You'll Bring Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience). 6 9 years of relevant experience. Strong theoretical and applied understanding of linear programming, convex optimization, non-linear programming, and other optimization topics. Experience with other data science concepts and algorithms (e.g., supervised/unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.). Relevant programming background (e.g., Python/R). Understanding of relevant tools/platforms (e.g., ML/data engineering tools and platforms). Team management and skill development experience. Agile project planning and project management experience preferred. Excellent oral and written communication skills. Strong attention to detail, with a research-focused mindset. Excellent critical thinking and problem-solving skills. High motivation, good work ethic, and maturity.

REPORTS TO: VP, Product Management DIRECT REPORTS: No POSITION OVERVIEW The Sr Research Engineer plays an important role in research projects in areas such as Artificial Intelligence, Machine Learning, Optimization and various mathematical algorithms to solve supply chain problems. Sr Research engineer also develops mathematical models and prototypes to confirm the value and potential business value quantification. RESPONSIBILITES: Responsible for defining and prototyping mathematical, optimization, machine learning models for select supply chain problems. Define and develop data mining techniques, and building proof of concepts. Study and keep current on supply chain, mathematical and industrial research related to supply chain and identify areas for research evaluations reflecting customer and industry trends to influence strategic direction of the product. Demonstrate thought leadership with key strategic customers and demo proof of concepts to validate business impact. Help Product Managers with analysis of functionality requirements and suggest mathematical models to represent them. Design and develop new algorithms for the products. Write product specifications for development team for incorporating algorithms and mathematical models into products for general availability. Other tasks and activities as assigned. QUALIFICATIONS AND EXPERIENCE: M.S./Ph.D. degree in a mathematical/statistical, computer science, and/or operations research. Solid optimization (e.g., linear programming), machine learning, mathematical and statistical foundation. Must have 2+ years working experience in computer programing and AI/ML. Must have database and current technology expertise. Proven problem-solving, critical thinking, negotiation, and decision-making skills. Excellent interpersonal and communication skills. Post-doctoral experience, University Professorship in Mathematics or related discipline, Supply chain research is preferred. PHYSICAL REQUIREMENTS: General office environment and responsibilities requiring: Extensive use of the computer which involves viewing a monitor and keyboarding for most of the workday. Placing and receiving phone calls May require travel as needed.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Target s Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As a Senior Data Scientist at Target, you will get an opportunity design, develop, deploy, and maintain data science models and tools. You ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You ll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Target s supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Bachelor s/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields. 3-4+ years of relevant experience in data sciences; experience with supply chain or e-commerce order fulfillment is preferred. Excellent working knowledge of mathematical and statistical concepts , operations research , data structures and algorithms, data analysis, visualizations , and applications of the same in a variety of business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer), and their applications in industry settings Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required. Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory. Experience developing, testing, and maintaining large codebases in a collaborative environment. while meeting industry best practices. Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Experience deploying solutions with large-scale business impact in commercial setting is a plus. Self-driven and results oriented. Willing to stretch to meet tight timelines. Strong team player with ability to collaborate effectively across geographies/ time zones. Excellent written and verbal communication skills Know More About Us: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Technip Energies is looking for multiple openings for Noida/Mumbai. Qualification Graduate or Masters degree in Engineering (preferably Chemical) from reputed university with experience in Techno-Commercial Feasibility Studies, Basic Engineering, FEED or PMC related activities in Oil & Gas, Refining and Petrochemicals, Fertilizer and Chemicals industries. Good communication skills and proficiency in Report writing is must. Experience in Energy Transition related activities will be an added advantage. Skills Should have Process Engineering skills with simulation experience, experience of technical proposal preparation for studies, proven experience of leading and managing a team, experience of client handling and developing/managing client relationship, good communication and presentation skills. Experience Required Study Manager 15 to 20 years Principal Engineer 10+ Years Senior Engineer -5+ Years If interested, Please share your cv with us to discuss further. Thanks, Mehak Kohli mehak.kohli@ten.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You’ll Bring Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience). 6 – 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Job Title: Data Scientist (2.5-4.5 Years). Location : Bangalore (India) Job Role: Investigate the feasibility of applying scientific principles and concepts to business problems. Develop new algorithms independently to solve well defined retail problems and improve existing algorithms. Work with product team to implement new modules, maintain and release production pipelines in timely and responsible manner. Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders. Collaborate with Data Engineering, Advisory and Product team to find scope of improvement and drive right processes. Mandatory Skills: Retail Experience & Business Acumen(Even if its 30-50% of overall experience at least one retail project) Experience in optimization projects or Pulp / Gurobipy / LP. Classic ML Experience One model built in sole capacity end to end Good SQL / Python Hands on experience (PySpark is a plus)

Job Title: Operations Research Scientist Key Responsibilities 1. Model Development Translate business requirements in to solid and detailed mathematical problems Design and build mathematical optimization models (like linear, integer, nonlinear programming, mixed integer linear, stochastic optimization, heuristics, dynamic programming or RL-based optimization) Develop stochastic models \ simulation models to analyse system performance and its evolution; play-out scenarios and predict behaviour under varying conditions Verify models with actual data, identify gaps, modify model parameters, fine-tune and check sensitivity for more aligned performance. 2. Implementation & Deployment Collaborate with engineering teams to integrate models into production environments, ensuring scalability and reliability Test and validate models for accuracy, usability, and alignment with business objectives Design monitoring systems to track model performance over time Iteratively improve models based on real-world feedback and changing conditions 3. Communication & Collaboration Translate complex technical concepts into clear, actionable insights for non-technical stakeholders Create compelling stories, analysis, documents and dashboards to illustrate model outputs and recommendations Present findings to executive leadership, highlighting business impact and ROI Work cross-functionally with business units to understand core operational challenges and requirements Train and support end users in interpreting and applying model outputs Required Qualifications 1. Education Master's Operations Research, Industrial Engineering, Applied Mathematics, or related field 2. Technical Skills Strong programming skills in at least one language commonly used for optimization (Python, C++, C, Java) Proficiency with optimization solvers (e.g., Gurobi, CPLEX etc) Competent in developing mathematical optimization models using mathematical modeling languages such as OPL, GAMS, AMPL or develop with Pyomo, Gurobipy, etc. Proficient in code driven simulation models and software driven (AnyLogic, Arena etc) Experience with statistics, data analytics and visualization 3. Experience 3+ years experience applying OR techniques to solve business problems 4. Soft Skills Ability to translate high-level requirements and deadlines into shorter-term work tasks, self-direct work and collaborate Excellent communication skills with demonstrated ability to explain complex concepts to non-technical audiences Experience deploying models in production and real-world environments Preferred Qualifications PhD in Operations Research, Applied Mathematics, or related field Experience with cloud computing platforms (AWS, Azure, GCP) Ability to analyse system design and process design, and build wholistic solutions Knowledge of machine learning techniques and their integration with OR approaches Familiarity with visualization tools (Tableau, Power BI) and dashboard creation Industry experience in logistics, airlines, supply chain, manufacturing, or healthcare Publications in relevant conferences or journals Success in this Role The ideal candidate doesn't just build elegant models that work in theory but creates practical solutions that deliver real business value in complex, dynamic environments. They posses strong analytical skills and Role & responsibilities Preferred candidate profile

Mandatory Skills Data Science, ML, DL, Operational Research, RapidMiner, Python, Tensorflow, Pytorch, Django, SQL, Linear programming (LP), mixed integer linear programming MILP), optimization Preferred Skills NLP, Gen AI, LLM, RAG, Lanchain, MLOps Job Description / Roles & Responsibilities (in Detail) Mandatory • Strong understanding of Data Science, machine learning and deep learning principles and algorithms. • Proficiency in programming languages such as Python, TensorFlow, and PyTorch. • Must have RapidMiner hands on working experience . • Experienced with Implemeting Optimization solutions via Operational Research methods . • Must have Forecasting experince / knowledge . • Ability to work with large datasets and knowledge of data preprocessing techniques. • Strong Backend Python developer, experience in applying machine learning techniques using TensorFlow, Pytorch • Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies • Expert in applying ML techniques such as: forecasting, classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques • Optimize model performance and scalability for real-time inference and deployment. • Experiment with different hyperparameters and model configurations to improve AI model quality. • Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards • Proven ability to apply, debug, and develop machine learning models • Strong problem-solving and critical thinking skills for complex AI problems. • Excellent communication and teamwork abilities to collaborate with cross-functional teams. Good to have: • Finance Project Background will be good to have. • SQL experience/ knowledge. • NLP, LLM, Lang chain and Gen AI • Banking exposure