80 Gurobi Jobs - Page 3

Voyager (94001), India, Bangalore, Karnataka Principal Associate - Data Engineer 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 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ years experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ 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).

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

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

Category Engineering Experience Sr. Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Senior Associate- Data Engineer 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 India, 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 1.5 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 3+ years of experience in application development including Python, SQL, Scala, or Java 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 1+ years experience working on real-time data and streaming applications 1+ years of experience with NoSQL implementation (Mongo, Cassandra) 1+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with UNIX/Linux including basic commands and shell scripting 1+ 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 Senior Associate- Data Engineer 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 India, 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 1.5 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 3+ years of experience in application development including Python, SQL, Scala, or Java 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 1+ years experience working on real-time data and streaming applications 1+ years of experience with NoSQL implementation (Mongo, Cassandra) 1+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with UNIX/Linux including basic commands and shell scripting 1+ 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 hiring a Data Scientist (part-time) with a few years of experience. Expectation: about 15-20 hours per week for 3mths. Can turn into full-time for a strong performer. Join us and help us build the models that will define how resources are planned across Warehouses all over the US. You’ll lay the ML foundation to scale across thousands of warehouses and millions of packages. About Us Inveno is a US-based startup revolutionizing warehouse operations with intelligent resource planning powered by specialized AI. We’re on a mission to eliminate manual inefficiencies in warehouse management by building custom models that deliver smart, data-driven planning. What Problem Are We Solving — and Why? Today, 75% of US warehouses rely on manual shift planning — determining where staff go, which trucks unload where, which items get processed when — all without automation. This results in over $1 million in annual inefficiencies per warehouse. We are here to change that. By harnessing operational data and developing custom AI and optimization models, we help warehouse managers plan with precision, speed, and scale. Who’s Building This? We’re a founding team of 3: A warehouse operations expert with 8 years of experience at top logistics startups in the US and India. A CEO who’s built and exited 3 companies and led teams at Alibaba Group. A CTO who scaled engineering and systems at Bangladesh’s top-funded startup. Our Progress So Far Our V1 product is currently in development. We’ve already secured a paid contract with the global brand house with other major brands in the pipeline (including top US retailers) Key Responsibilities Lead Optimizer Development: Architect and implement our core optimization engine using tools like Google’s Math-OPT, NVIDIA cuOpt, or OR-Tools. Focus on improving labor planning, dock assignments, and wave planning to ensure on-time fulfillment. Build Machine Learning Models: Create and deploy supervised learning models to support and enhance the optimizer using complex real-world warehouse data. Shape LLM Interaction Layer: Collaborate with engineering to design workflows where LLMs convert user input into operational rules that feed into the optimizer. Establish MLOps Best Practices: Set up model versioning, deployment, monitoring, and experimentation pipelines that ensure robust and scalable ML infrastructure. Qualifications & Skills (Must-haves) Experience designing and deploying constraint-based optimization models using tools like Google OR-Tools, Gurobi, CPLEX, or similar. Advanced Python skills with fluency in the data science stack: NumPy, pandas, scikit-learn, etc. Strong foundation in supervised ML, including feature engineering, model selection, and validation techniques. Proven ability to translate complex operational problems into solvable mathematical or ML models. Bachelor’s or Master’s degree in Computer Science, Operations Research, Statistics, or a related quantitative field.

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

Role: Quantitative Developer Working time: EST ( 6:30 PM to 3:30 PM ) Location: Remote ( Pan-India ) Key Responsibilities: • Experience in creating and testing financial models and forecasts for various asset classes. • Building systematic trading systems, including algorithmic and automated trading strategies, to execute predefined rules and mathematical models. • Translate the ideas of quantitative researchers into working code for trading strategies. • Specializes in developing, implementing, and maintaining the software and tools used by quantitative analysts. • Design and Develop solutions for automated portfolio optimization for fixed income ETFs • Write, review, and debug secure production code to ensure high-quality software development. • Develop and maintain live system using Python, R, and SQL for front office tools. • Monitor software development to ensure alignment with established goals. • Identify and analyze business needs, gather requirements and define IT System objectives. • Oversee software configuration, customization and enhancement to optimize system performance. • Develop unit tests and maintain coding standards for software applications. • Conduct code reviews, address issues, and ensure best practice. • Mentor and guide junior team members, providing coaching and feedback as needed. Educational Requirement: • Bachelor’s Degree Required Work Experience: • 5+ Years Required; 7+ Years preferred. • Technical skills; R ( 3+ Years ), Python (5+ Years ), SQL ( 5+ Years ) • Knowledge and experience in optimization algorithms and frameworks; Mixed integer programming, Linear optimization, CVXPY, Gurobi etc. • Fixed Income/ Capital markets experience: Preferred 3+ Years • Cloud ( AWS 3+ Years ) • Experience in AI is a plus ( optional ) Show more Show less

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

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for extracting knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. The team is composed of experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis. The systems that the team builds get used across the multitude of Company data science-based services and deployments. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Core Responsibilities Core Responsibilities You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. Excellent Communication skills with both US team and the team in India You are a lifelong learner, who is driven by curiosity and a desire to make a positive impact in the organization. You are results-driven, possess business acumen, and an ability to communicate your work and your findings. You are an engineer/manager at heart with an analytical mindset, but with a keen sense of serving the business. You have advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and present findings. You have excellent project management, organizational, and collaboration skills. You enjoy working in global teams, assisting and educating less experienced members, while also learning from more senior colleagues. You take initiative and have the ability to drive projects to completion at each phase of the process, from ideation to data acquisition, to engaging with stakeholders, to developing the models, to evaluating and fine-tuning their performance, to productionizing solutions via ML pipelines, to building model performance reports. Knowledge of how supply and demand best practice business and data processes generate business value. Including, but not limited to demand forecasting, inventory management, supply planning, Sales and Operations Planning, and replenishment planning. Demonstrated excellent track record of innovative and effective applications of data science principles, technology, and techniques to solve business problems efficiently. Knowledge of and experience with best practice demand management metrics; forecast accuracy, demand attainment, bias, planner value add. Intelligence, integrity, domain knowledge, and verbal agility that allows you to earn the trust of business and technical teams across the company. Excellent operational and managerial skills required, with a proven track record of successful management of complex, data driven demand forecasting, logistics, supply chain, & operations. The successful candidate will have multiple years of consumer goods retail environment, utilizing advanced modeling techniques as a basis to drive results. A strong analytical & data mindset is essential for this position. Flexible to work and support team with extended time/shifts when and where required. Required Skillset Should be an effective and prolific doer but should also be a creative thinker who likes to operate outside the box and suggest alternative solutions. Should have experience in developing Forecasting models and understand Demand Planning processes. Understand optimization models, techniques and tools (Gurobi, Coupa, etc.) Experience in Network optimization / Transportation opt Experience in Data science, machine learning or optimization models (linear programming) Experience in Python, SQL or R for model development Knowledgeable in handling large set of data, databases, data warehouse design, cloud storage and ETL best practices. Experience with BI tools like PowerBI and Tableau Experience in data pipelines developments and systems such as SQL, Maria DB etc.. Preferred Requirements Experience in data science/ops research experience preferably within the supply chain / logistics industry, demand planning, CPG industry and/or retail replenishment. Master’s Degree in Statistics, Operations Research, Data Science, Computer Science or related field is a plus. Experience in supply chain planning systems and their data science capabilities like 09 Solutions, SAP, Blue Yonder or other top tier solutions a plus Knowledge of and experience with leading data reporting applications including Tableau, Power BI, QlikView, etc. is a plu Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Master's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 7-10 Years Show more Show less

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

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t What you’ll do for us: Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. Develop or optimize modules to call web services for real time integration with externa systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you’ll have: Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Should be from a statistical background. Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics: Independent thinkers Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field What we’ll do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment. Opportunity to travel onsite in specific phases depending on project requirements. Support network: Work with a team you can learn from everyday. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works Apply by clicking the button below You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application. We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. Our recruiter will let you know if you’re the successful candidate. Good luck! More about us … With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

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

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

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

Job Description REMOTE OPPORTUNITY!!!!!!!! Client: Technology GCC for Global Biotech Company Atleast 5 years of experience in using Optimizer tools in an industrial environment. Experience should be along the lines mentioned below. Quite simply should have conceptual understanding of modeling Any E2E Supply Chain . Manufacturing process in terms of a mathematical model which then can be used an input to Optimizer tool. Product Modeling & Optimization services Should have Envisioned and architected an integrated software platform for technical computing and data analysis. Experience in Developing key features of the software platform, including a multi-lingual scripting language interpreter that runs Python, R, and Matlab codes, a highly interactive data visualization engine, and an Excel-like spreadsheet program. Created REST web services to integrate with external systems Created specialized software packages for specific scientific domains/tasks such as optimization and sensitivity analysis. Implemented interfaces to third-party solver like Gurobi or any other Optimizer Education : Master / PHD in Computer Science / Electrical / Mechanical Engineering Software Tools: Visual Studio, Spyder, Anaconda, ANSYS HFSS, Gurobi Optimizer Programming Languages: C, C++, Python, MATLAB, R, UNIX Shell Frameworks: Django, Flask, REST Optimization Algorithms: LP, MILP, MIQP, QCP

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

Job Description Kenvue is currently recruiting for- Analyst, Data Science This position reports to the Manager, Data Science and is based at Bengaluru, India. Who We Are At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here . Role reports to- Manager, Data Science Location- Bengaluru, India Travel %- 10% What You Will Do As Analyst, Data Science, you will develop and implement advance analytics, optimization models, and machine learning solutions to solve complex Operations Research business problems. In this role, you will work closely with cross-functional teams to analyze large datasets, identify patterns, and generate insights that drive business value. Key Responsibilities Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Follow code version through bitbucket / GIT, documenting work on Confluence. Build APIs for seamless integration with application. Stay up to date on the latest developments in operations research, supply chain management, and optimization techniques. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. Required Qualifications What We Are Looking For Masters degree in Industrial Engineering, Operations Research or Management Science or related field 2 – 4 years of business experience At least 2 years of experience in Supply Chain Optimization Proficiency in mathematical modelling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Strong programming skills in languages such as Python with experience in optimization libraries (e.g., Gurobi, FICO) and data manipulation tools (e.g., pandas, NumPy). Experience with data analysis, statistical modelling, and visualization using tools like SQL, Streamlit Hands on python programmer with strong experience of OOPs Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks Desired Qualifications APICS certification – CPIM, CSCP Microsoft certification (e.g., Azure Fundamentals) Machine Learning certification Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability. Primary Location Asia Pacific-India-Karnataka-Bangalore Job Function Digital Product Development Job Qualifications Masters degree in Industrial Engineering, Operations Research or Management Science or related field Show more Show less

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 Industry: Supply Chain/Forecasting/Financial Analytics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics) 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) Experience using at least one major cloud platform (AWS, Azure, GCP), such as: AWS: Experience with AWS SageMaker, Redshift, Glue, Lambda, QuickSight Azure: Experience with Azure ML Studio, Synapse Analytics, Data Factory, Power BI GCP: Experience with BigQuery, Vertex AI, Dataflow, Cloud Composer, Looker Experience developing, deploying, and monitoring ML models on cloud infrastructure Expertise in Python, SQL, data orchestration, and cloud-native data tools Hands-on experience with cloud-native data lakes and lakehouses (e.g., Delta Lake, BigLake) Familiarity with infrastructure-as-code (Terraform/CDK) for cloud provisioning Knowledge of visualization tools (PowerBI, Tableau, Looker) integrated with cloud backends Strong command of statistical modeling, testing, and inference Advanced capabilities in data wrangling, transformation, and feature engineering Familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools (e.g., Airflow) 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 Show more Show less

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

Job Title: Optimization Scientist – Route & Inventory Optimization (OR & RL) Location: Hyderabad (On-site) Experience Required: 1+ year Company Overview: We are a leading AI-driven supply chain solutions company focused on transforming retail, FMCG, and logistics through cutting-edge technologies in machine learning, operations research, and reinforcement learning. Our mission is to build intelligent systems that enhance decision-making and automate processes across forecasting, inventory, and transportation. Internship Overview: We are seeking a passionate and motivated AI/ML Intern to support the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers, gaining hands-on experience in applying machine learning, reinforcement learning, and operations research to real-world logistics challenges. Key Responsibilities: 🔹 Assist in Route Optimization Projects: Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance. Work with Python libraries like Pyomo or OR-Tools to prototype optimization solutions. Explore reinforcement learning methods (e.g., DQN, PPO) for dynamic routing decisions under uncertainty. 🔹 Support Inventory Optimization Efforts: Learn to model multi-echelon inventory systems using basic OR and simulation techniques. Analyze historical data to understand stock levels, service times, and demand variability. Help design experiments to evaluate replenishment strategies and stocking policies. 🔹 Contribute to AI-Driven Decision Systems: Assist in integrating ML forecasting models with optimization pipelines. Participate in the development or testing of simulation environments for training RL agents. Collaborate with the team to evaluate model performance using historical or synthetic datasets. Required Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field. Good understanding of Python and key libraries (NumPy, Pandas, Matplotlib, Scikit-learn). Familiarity with basic optimization concepts (LP/MILP) and libraries like OR-Tools or Gurobi (student license). Basic knowledge of reinforcement learning frameworks (OpenAI Gym, Stable-Baselines3) is a plus. Strong problem-solving skills and willingness to learn advanced AI/OR techniques. What You’ll Gain: Hands-on exposure to real-world AI and optimization use cases in logistics and supply chain. Mentorship from experienced scientists in OR, ML, and RL. Experience working in a fast-paced, applied research environment. Opportunity to convert to a full-time role based on performance and business needs. About WINIT: WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales. Show more Show less

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

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)

Responsibilities Mathematical Modelling: Develop mathematical models and algorithms to solve optimization problems related to supply chain management, resource allocation, scheduling, network optimization, and other relevant domains. Formulate problems as linear programming, integer programming, mixed-integer programming, or constraint programming models. Data Analysis: Work with large datasets, conduct exploratory data analysis, and apply statistical and machine learning techniques to extract valuable insights. Identify patterns and trends in the data that can be used to improve optimization models and algorithms. Model Implementation: Implement mathematical models and algorithms using programming languages such as Python. Develop efficient and scalable code to solve complex optimization problems. Performance Evaluation: Evaluate the performance of optimization models and algorithms by conducting experiments and simulations. Identify areas for improvement and propose modifications to enhance efficiency and effectiveness. Collaboration and Communication: Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand their requirements and translate them into actionable OR solutions. Communicate findings, insights, and recommendations to both technical and non-technical audiences effectively. Requirements Educational Background: A Bachelor's, Master's, or M. Tech in Mathematics, Statistics, Applied Maths. Operations Research Expertise: Good to have. Gurobi Proficiency: Good to have. Data Science Skills: Solid understanding of data science principles, including statistical analysis, machine learning, and data visualization. Problem-solving and Analytical Thinking: Strong problem-solving skills and the ability to think analytically to break down complex problems into manageable components. Attention to detail and a strong aptitude for identifying patterns and trends in data. Industry Knowledge: Familiarity with applying OR and optimization techniques in relevant industries such as supply chain management, logistics, transportation, and manufacturing. This job was posted by Shaurya Rajour from Verdis.ai. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Applying knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Working with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes Develop company A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Graduate degree or equivalent experience Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Experience querying databases and using statistical computer languagesR, Python, SLQ, etc. Experience using web servicesRedshift, S3, Spark, DigitalOcean, etc. Experience creating and using advanced machine learning algorithms and statisticsregression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing toolsMap/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data for stakeholders usingPeriscope, Business Objects, D3, ggplot, etc. Solid problem solving skills with an emphasis on product development Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Proven excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Coding knowledge and experience with several languagesC, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniquesGLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, k-NN, Naive Bayes, SVM, etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.