21 Gurobi Jobs

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

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.

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. We are looking for a Data Scientist who will support our pricing and business teams with insights and real-time price recommendations using company and market data. The ideal candidate is adept at using large and limited data sets to drive insights-based pricing. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in data sets and working with stakeholders to improve business outcomes. Key Responsibilities: Take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models. Deliver on pricing Annual Operating plan through surfacing insights to improve margins and revenue. Work with stakeholders throughout the pricing and business teams to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of pricing recommendations. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Build real-time GenAI pricing models. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize revenue and margin generation, 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. Qualifications: Bachelor’s degree in engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8+ years' of experience in Data Science field Expertise using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Expertise creating and using advanced machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience working with and creating data architectures. Experience with GenAI applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Broadridge associates helped us envision our Connected Workplace - a work model that allows associates around the globe, dependent upon their role responsibilities, take advantage of the benefits of both on-site and off-site work to support our clients, one another, and the communities where we live and work. Our Connected Workplace is grounded in the concept of FACS: Flexible, Accountable, Connected, and Supported, which is our commitment to our associates. FACS supports our strong culture and allows us to achieve business goals while supporting meaningful work-life integration for our associates. We are dedicated to fostering a diverse, equitable, and inclusive environment and committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates can only do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates diversity in all its dimensions. Show more Show less

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

Machine Learning and simulation engineer Maersk, the world’s largest shipping company responsible for moving 20 % of global trade, is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. In this role as ML and simulation engineer on the Global Data and Analytics (GDA) team, you will be working on our new strategic visibility initiative to develop advanced simulation and optimization solutions for emissions. The overall objective is to further evolve our existing Emissions Studio product (https://www.maersk.com/digital-solutions/emissions-dashboard) with scenario analysis, and AI/ML-powered emissions optimization, which will unlock significant value to our customers as they look to make informed tradeoff decisions on emissions reductions while understanding the impact to transportation time and cost. Building on top of an existing product with an existing customer base, you will be partnering with product managers and engineering counterparts to develop scalable solutions following industry best-practices. You will be empowered to take ownership of your domain and we expect you to proactively contribute to identifying opportunities and solutions. There is a lot of exciting challenges ahead of us, and the ideal candidate will have a passion for working on industry-transforming products and creating impact from the ground up in a fast-paced environment. To deliver on this scope, we are looking for a candidate with strong problem solving skills with demonstrated hands-on experience in machine learning and scenario simulation. It would be ideal if you are also familiar with mathematical optimization (constrained optimization leveraging techniques from Operations Research such as linear programming), but this is not a must. You should furthermore have experience taking solutions to production in collaboration with colleagues from data engineering and software engineering. No prior knowledge of logistics needed; we will help you learn what you’ll need to succeed. Key responsibilities Develop, test, and deploy technical solutions for forecasting, prediction, scenario simulation and optimization, as well as other analytical tools together with the team. In addition to the topics mentioned above, this can also include building integrated data sets, analyses and dashboarding Lead model development, implementation and deployment end-to-end incl. MLOps (mindset and technical implementation using our stack). Specifically, you will drive problem formulation, modeling approach, implementation, testing, deployment and monitoring. Collaborate with software engineers and data engineers to deploy recommendation solutions to production Partner with product managers to drive maturation of ideas into production solutions, including challenging problem formulation Communicate effectively with technical and non-technical audiences Basic Qualifications BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning. 3+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Some experience with scenario simulations. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Team player, eager to collaborate and good collaborator Preferred Qualifications In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. Show more Show less

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Responsible for development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Support in providing budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Masters degree in Electrical Power Systems with thesis or related work in power systems 5 to 8 years of experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems

SENIOR OPTIMIZATION ENGINEER Hyderabad Role Senior Optimization Engineer Contract type Permanent About the role As a Senior Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Company's business this includes trade-off and optimize energy efficiency, production cost and operating economy. You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how company's products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of company's systems. You also take active part in product development to support design engineers in adopting and using new methods and tools. You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). We are offering you We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. A dynamic and international work environment in a company with high technology products. A strong growth strategy and people who are passionate about what they do. Requirements Education MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience. Skills and qualifications Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems. Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems. Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems. Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi. Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants. Familiarity and experience with development of computational platforms and tools in Python or equivalent. Familiarity with using HPC and cloud-based platforms for computation at scale. Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment. Self-starter who is well-organized in an international team environment, with proven communication skills. Responsibilities Deployment. Support that methods and tools developed in the group impact the company's business through engagement in global product projects, including capture and formulation of computational problems arising in such projects. Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the company's business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group. Modeling for optimization. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms. Talent. Support development and training of staff within company's product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and theses.

Job Role - Machine Learning Engineer Experience : 5 + Years Job Location : Bangalore/ Mumbai/ Trivandrum (Hybrid Working) As an Associate Architect - Machine Learning at Quantiphi, you will be working as an optimization specialist creating solutions using mathematical optimization and combinatorial optimization techniques to solve complex business problems. You will also be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability. Must have skills: 5+ years of relevant hands-on technical experience mathematical optimization techniques and implementing and developing cloud ML solutions on AWS. Experience in designing and implementing mathematical optimization models using Gurobi to address business challenges such as workforce scheduling, supply chain optimization, and resource allocation. Experience in utilizing combinatorial optimization techniques like branch and cut, branch and bound, and metaheuristics (e.g., genetic algorithms, simulated annealing) to solve discrete optimization problems. Must be able to analyze complex business problems and identify opportunities for optimization, applying combinatorial optimization methods to discrete problems. Experience in monitoring and analyzing the performance of optimization models, identifying areas for improvement. Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Implement and manage MLOps principles and best practices for ML architecture. Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc. Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Good to have skills: Experience in dynamic pricing, price promotion and price optimization. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Experience with software development. Able to effectively design software architecture as required.

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

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

Job Title: Sales Excellence - COE - Advanced Modeling Associate Manager - CF Management Level: ML8 Associate Manager Location: Open for all Must have skills: - Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Good to have skills: Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Job Summary : We are: Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence. You are: An analyst with a flair for turning data into business insights. You enjoy searching for patterns and connections in data to discover trends, root causes and solutions. While logical and objective in your approach, your true superpower is helping others to see how things can be done differently. You use AI modeling to test theories and identify ways to improve processes. Roles & Responsibilities: The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class offerings to Accenture leaders, practitioners, and sales teams. As a member of the COE Analytics Modeling Analysis team, you will generate business insights to help Accenture to improve its processes, boost sales and maximize profitability. You will build models and scorecards that help business leaders to understand trends and market drivers. You will work closely with operations teams to turn these insights into user-friendly solutions. Managing access to tools and monitoring their usage You will: Collect and process data from functions such as Sales, Marketing, and Finance Analyze data to develop business insights that support decision making. Communicate data insights in a clear and concise manner. Work closely with the COE team to develop industrialized solutions. Professional & Technical Skills: Bachelor's degree or equivalent experience Excellent oral and written communication in English At least four years of experience doing data modeling and analysis work, which may include: Machine learning algorithms SQL, R, or Python Advanced Excel Data visualization tools such as Power Bi, Power Apps, Tableau, QlikView, Google Data Studio Project management experience Strong business acumen and attention to detail Additional Information: Understanding of sales processes and systems. Knowledge of Google Cloud Platform (GCP) and BigQuery. Experience working in Sales, Marketing, Pricing, Finance, or related fields. Working knowledge of Salesforce Einstein Analytics. Knowledge of Optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX or similar. Experience working with Power Apps. Qualifications Experience: Minimum 4 year(s) of experience is required Educational Qualification: Masters degree in Analytics or similar field.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : O9 Solutions Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BTech/BE/MCA Project Role :Application Support Engineer Project Role Description :Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have Skills :O9 Solutions, SSI:NON SSI:Good to Have Skills :SSI:No Function Specialization NON SSI :Job Requirements :Key Responsibilities :-Demonstrate thorough knowledge of industry best practices, business process, o9s solutions, technical architecture and value proposition-Lead the complete lifecycle of a project from design to delivery of o9s solutions to customers across industries and geographies-Understanding of our customers requirements by leading workshops with functional and business owners Technical Experience :-SCM relevant experience for L- 8 should be at least 6-7 years, and Tech knowledge should be 4-5 yrs-Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is desirable-Understand concepts of history cleansing, customer segmentation, statistical forecast algorithms and their uses, forecast errors, consensus planning and SOP process Professional Attributes :-Proficient in the use of Microsoft Excel/PowerPoint for analysis and presentation-Strong ability to lead by example and demonstrate proficiency in both product and domain-Patient listener with the ability clearly articulate your view point to manage and deliver to customer expectations Educational Qualification:BTech/BE/MCAAdditional Info :Open to travel - short / long term Qualifications BTech/BE/MCA