15 Simulation Modeling Jobs

Job Title: Electrical Engineering Innovation Lead Job Location: Navi Mumbai Industry: Data Centers / Power Systems R&D Functional Area: Research & Development, Electrical Engineering Employment Type: Full-time Salary: Up to 50 LPA About Our Client Our client is a leading data center solutions provider focused on delivering mission-critical infrastructure and sustainable innovations across Asia. They are expanding rapidly and looking for passionate engineering leaders to drive cutting-edge power systems research and technology development. Job Overview: We are hiring an Electrical Engineering Innovation Lead to spearhead R&D in electrical power systems , with a strong focus on software-defined power solutions , stranded power management , and cost-saving technology innovations . Role & responsibilities Lead research and development initiatives in electrical power systems and software-defined power solutions Drive technology innovation to improve cost efficiency and system reliability Collaborate with design and engineering teams for new developments, infrastructure upgrades, and rectifications Conduct modeling, simulation, and data analysis using MATLAB and COMSOL Evaluate and integrate emerging technologies to enhance performance and reduce costs Perform quarterly reviews of technologies and commercial outcomes to guide R&D strategies Preferred candidate profile Education: Masters / Ph.D. in Electrical Engineering (Power Engineering preferred) Experience: 10+ years in electrical engineering, design, and R&D Mandatory: Hands-on expertise in MATLAB and COMSOL for simulations and modeling Strong background in power systems design, construction, and commissioning Exposure to data center environments preferred

PwC AC India is hiring for Scenario and Simulation Analyst with expertise in Monte Carlo Simulation- Job Title: Scenario Analyst Level: Manager Minimum Years of Experience: 9 to 14 years of relevant exp Shift time: 2 to 11pm IST Minimum Degree Required: Bachelors Degree Additional Information around Degree Preferred: Experience in strategic foresight, scenario planning, or workforce analytics, framing studies and communicating implications for executive audiences; experience building and interpreting Monte Carlo and other simulation models. Fields of Study: Futures Studies, Strategy, Economics, International Relations, Systems Thinking, Strategic foresight, scenarios, war games Knowledge and Skills Preferred: Scenario design & localization Frames and runs mixed-method scenario exercises that link global foresight frameworks to local economic indicators, regulatory shifts, and competitor moves. Quantitative simulations Designs, validates, and runs Monte Carlo and other simulations (e.g., agent-based, system dynamics, discrete-event) to size uncertainty, test sensitivities, and stress-test workforce plans and portfolio options. Technical fluency Working knowledge of Python/R and analytics tools (NumPy, pandas, scikit-learn), and/or simulation software (e.g., AnyLogic, @RISK); strong data hygiene and version control practices. Real-time signal synthesis Uses horizon-scanning tools (AI topic clustering, trend databases) to surface emerging risks and opportunities; maintains near-real-time dashboards of key indicators. Strategic storytelling – Converts complex scenario outputs into concise reports, white papers, and visual presentations tailored for technical and non-technical audiences. Trend interpretation & benchmarking – Integrates internal workforce metrics with external benchmarks to test scenario assumptions and quantify potential impacts. Strategic storytelling – Converts complex outputs into concise briefs, white papers, and executive-ready visualizations for technical and non-technical audiences. Content leadership – Authors and edits executive briefs, ensuring clarity, accuracy, and alignment with organizational strategy; collaborates with Communications teams to broaden reach. Collaboration & influence – Works cross-functionally with Foresight Analysts, Data Scientists, HR, and regional leaders; mentors Senior Associates on scenario methods and insight activation. Critical thinking & problem-solving – Generates hypotheses, identifies pattern shifts, and recommends actionable options for proactive talent decisions. Operational efficiency – Streamlines local data collection, coordinates AI/Data Analyst inputs, and maintains rigorous quality control over scenario artefacts and deliverables. Adaptability & continuous learning – Adjusts scenarios rapidly as new signals emerge; stays current on macro-forces (technology, geopolitics, ESG) shaping workforce futures. Attention to detail & ethics – Ensures methodological rigor, mitigates bias, and validates data accuracy to preserve trust and decision usefulness. Ethics & bias mitigation – Ensures methodological rigor, mitigates bias, and validates data accuracy to preserve trust and decision usefulness.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You'll Do .Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems .Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner .Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities .Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings .Evaluate emerging datasets and technologies and help define our analytic platform .Own development of select assets/accelerators that create scale .Contribute to thought leadership through research and publications .Guide and manage project teams of Associates/Associate Consultants. What You'll Bring .Bachelor's degree in computer science, Information Technology, or a related field (or equivalent work experience). .6 - 9 years of relevant experience .Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics .Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.) .Relevant programming background (e.g. Python/ R) .Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms) .Team management and skill development experience .Agile project planning and project management experience preferred .Excellent oral and written communication skills .Strong attention to detail, with a research-focused mindset .Excellent critical thinking and problem-solving skills .High motivation, good work ethic and maturity. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At:

Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelors or Masters degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. #DentsuGlobalServices Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

You should have a Bachelors or Masters degree from a reputable institution with good academic standing. The ideal candidate for this position should have 0 to 3 years of experience. MGT is currently looking for a dedicated engineer to join our R&D team. As an R&D engineer specializing in finite element analysis (FEA), your responsibilities will include: Generating FEA/simulation models of mechanical components, sub-assemblies, and systems. Analyzing static, dynamic, structural, and thermal-mechanical behavior under various operating conditions. Collaborating with the design team to enhance and optimize designs of current and future products based on FEA analysis. Proposing and implementing equipment characterization and test procedures to validate model results and assist in modeling efforts. Maintaining consistent modeling practices and contributing to the enhancement of simulation best practices within the organization. Assisting in root-cause analysis and troubleshooting technical challenges in conjunction with team members. Showing enthusiasm for learning simulation best practices from industry and academia and integrating them into your work. Contributing to the development of precision manufacturing machinery in India by engaging closely with other engineers. Requirements for this role include: Proficiency in the use of standard FEA software (such as Ansys, Altair, Abaqus, etc.) and understanding of FEA workflows. Strong fundamentals in solid mechanics, mechanics of materials, numerical methods, and engineering design. Experience with any CAD package for 3D design. Previous experience with CAD and FEA software tools. Practical experience in static, dynamic, and thermal-mechanical simulations on industrial or research problems. Effective verbal and written communication skills, with the ability to convey technical information to different audiences. A collaborative mindset to work with internal and external stakeholders in a high-paced environment to meet project milestones and deadlines. This position is located in Bangalore.,

As the leader of the Research and Development (R&D) team, you will be responsible for driving the conception and implementation of innovative business solutions in predictive and prescriptive analytics. You will be tasked with building capabilities, standards, and frameworks to facilitate the efficient and seamless adoption of predictive and prescriptive analytics and visualization within the organization. Active collaboration with academic institutions is encouraged, with a preference for candidates holding a PhD in Computer Science. Your role will require a good working knowledge of Big Data and NoSQL technologies, along with a deep understanding of statistical (regression analysis, cluster analysis, optimization techniques) and computational techniques (machine learning, natural language processing, graph or social network analysis, neural nets, simulation modeling). You should possess the skills to identify and apply the most appropriate techniques for different problem categories, as well as the ability to effectively communicate the business value to stakeholders. Proficiency in visualization techniques and tools, as well as familiarity with software development lifecycle methodologies, is essential. A passion for technology and innovation is key, with an emphasis on creating intellectual properties, patents, and conducting research on new and emerging technology trends. Additionally, you should demonstrate the ability to build and lead teams, coupled with excellent interpersonal and consulting skills. Key Skills required for this role include: - Text Analytics Tools: e.g., Open NLP, Stanford NLP - Machine Learning Tools: e.g., Mahout, Weka, R, RapidMiner - Real-time Stream Processing Tools: e.g., Storm - Enterprise Java - Knowledge of Perl, PHP, Ruby, Python, and JavaScript (Desirable) - Good understanding of Hadoop infrastructure The ideal candidate should hold a PhD in Computer Science or Applied Mathematics from a reputable institute, with specialization in a relevant area being a plus. A minimum of 15 years of relevant experience, including at least 7 years in a lead R&D role, is required to excel in this position.,

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

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

About the Company: QpiAI is a world leader in Quantum and AI technologies, dedicated to building the most powerful Quantum computers in India. Job Description: As a Quantum Error Correction Research Lead at QpiAI, you will be spearheading research on Quantum error correction specifically tailored for QpiAI Qubits. This role requires you to engage in groundbreaking research in Quantum Error corrections, contributing to the advancement of Quantum computing technology. Job Requirements: - The ideal candidate should hold a PhD or Postdoc in Quantum error correction and Quantum theory. - Demonstrated track record of multiple publications on Quantum Error Correction (QEC). - Proficient in Surface codes and Quantum LDPC with a strong working knowledge. - Ability to collaborate effectively with the Quantum hardware team to implement Quantum error correction codes on FPGA. - Familiarity with various types of error correctable qubits. - Proficiency in providing simulation models of errors and error correction codes using Quantum modeling. - Collaborate with RTL design engineers to implement QEC decoders on FPGA. - Develop a roadmap for Fault-tolerant error-corrected Quantum computers in collaboration with peer Principal scientists. Join QpiAI in pushing the boundaries of Quantum computing through innovative Quantum error correction research and make a significant impact on the future of technology.,

Hiring for Simulation Prdocut Development Leader:- We are looking for candidates from virtual simulator prodcut development expertise from electrical systems background:- Degree in Engineering (Mechanical/Electrical/Computer Science) or equivalent Minimum Exp more than 15 years You'll lead and contribute to the development of Digital Training Solutions. Day-to-day, youll work closely withteams across the business (ISR Project Core Team, Rolling Stock Engineering Core Team, Service BidManagers), manage product development lifecycle, and much more. Procurement of components for simulators Collaborating with Digital Solutions teams to support Product and Technology Development Experience or understanding of product development/engineering lifecycle Knowledge of software development methodologies Familiarity with electrical or mechanical hardware design and implementation methods A certification in Project Management or Product Management (desirable) Technical knowledge of Rolling Stock systems and subsystems (desirable) Experience in modelling and simulation for equipment/vehicles (desirable) Exposure to Digital Technologies (AR/VR, software stacks, data analytics) and understanding Defining the Product Development Plan and Project Schedule Preparing and reviewing technical specifications and design documents Project monitoring and control, including customer and stakeholder management Supplier management from selection to project delivery

Role & responsibilities Passion towards working with different business units. Communicating with other team members and attending meetings. Building the simulation software model prototype and new features (proof of concept) is required for products. Ability to work with global team members and across geography. (Basic German Communication skills are an added advantage but its not mandatory). Attending the Networking Meeting is required to observe the software implementation in simulation & model. Build brief documentation and technical reports for the related software model. Design core software development of best industrial practice design observed from the Mentorship Meeting. Work benefits include exploring industrial real-time projects, verified standard certificates, stipends and regular mentorship meetings. Audit and gather experience of business operations in the industry. The internship program spans three months, providing a valuable opportunity for interns to develop their skills and gain hands-on experience. Preferred candidate profile Bachelors or Master or Doctorate in Computer Science, Engineering, Science, Physics, Mathematics or relevant discipline. Passion in software development and programming. Ability to work in Software development tools is an added advantage but not mandatory. Industry Tools: Microsoft Visual Studio, Jetbrains (Clion, PyCharm, IntelliJ), Eclipse, Netbeans, Jupyter (Nice to have atleast 2 standard industrial tools aforementioned) Good knowledge of Python Programming or C++ or Java is required. Passion for designing, developing and deploying the software. (Computing software like Matlab or Modelica is an added advantage but not mandatory).

Deliver end-to-end training : from basic video editing (Premiere) to advanced VFX (AE, Nuke, Houdini, Maya, etc.). Teach FX creation using tools like Houdini orUE Design curriculum, projects, and VFX showreels that match current industry standards. Assistive technologies Accessible workspace Performance bonus Sales incentives Annual bonus Referral bonus Leave encashment

a. Should be well versed with IVIVC concepts b. Should have excellent knowledge on product development and clinical studies. c. Should have hands on experience on operating various simulation tools necessary for IVIVC. d. Excellent communication skills are must.

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

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