64 Mathematical Modeling Jobs

Role & responsibilities Must have 6+ years of experience on Java, Springboot, SQL. Must have experience/Exposure on Python Must be proficient with SQL and RDBMS like Oracle. Must have experience on implementing analytics in risk/calc engine to generate valuation, return and 1st order risk measures. Good understanding of equity and fixed income products, Exchange traded derivates, portfolio analysis, fund accounting and NAV calculation. Must have experience working on pricing, calc engines. Should have good experience with CICD and Grafana. Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture. Please share your resume at reena.kumari@mphasis.com along with below details: Total Experience - CCTC- ECTC- Notice Period- Location -Bangalore only - Willing to work from office all the 5 days -

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

Job Role: Mathematical Logic Experts Location: Bangalore Mode: Work from Office Experience : 3-6 Years Job Summary: We are looking for a highly skilled Mathematical Logic Expert with strong expertise in Matlab, rule-based configuration, and product logic handling. The ideal candidate will possess a solid foundation in applied mathematics, logic structuring, and system modelling to support complex product configurations and rule logic design. This role is critical in developing and maintaining robust logical systems that drive our product architecture and customization processes. Key Responsibilities: Design, implement, and validate rule-based configuration systems to manage product logic and constraints. Utilize Matlab for modelling, simulations, and logic implementation. Translate product and business requirements into logical rules and constraints for configuration engines. Collaborate with cross-functional teams including engineering, product management, and IT to ensure logical consistency and scalability. Maintain and optimize existing logic modules to improve performance and maintainability. Support troubleshooting, debugging, and validation of logic issues in live and test environments. Apply propositional and predicate logic to model complex systems and interactions. Analyse logical consistencies and implications within large rule sets. Document logic designs, rules, and configurations clearly and systematically. Required Skills and Qualifications: 3 to 6 years of relevant experience in product logic, mathematical modelling, or rule-based systems. Proficiency in Matlab (programming, simulation, modelling). Experience with rule-based configurators, logic engines, or knowledge-based systems. Strong grasp of Boolean logic, constraints modelling, and decision systems. Ability to understand complex product architectures and translate them into logical frameworks. Excellent analytical and problem-solving skills. Strong communication and documentation abilities. If anyone Interested please share your resume to tejaswini.k@tekskills.in or contact 040-67285629.

Lowes is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts, and providing disaster relief to communities in need. Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. Lowes India plays a pivotal role in transforming home improvement retail while upholding a strong commitment to social impact and sustainability. The Customer Insights team at Lowes uses data and analytics capabilities to provide strategic insights around customer and competitive landscape to help drive effective market strategy. The team works closely with various key functions across the business to provide insights and recommendations across different business areas. They track, report, and analyze various customer and market-related metrics to generate actionable insights on key customer segments, customer experience, and market position. The primary responsibility of the Customer Insights Analyst is to report, analyze, and provide insights on Customer Experience at Lowes across selling channels, customer segments, and product categories. The individual will apply analytical methods to combine internal and external data and analyze trends in Customer Experience Metrics and the factors that drive improvement in those metrics. Responsibilities include analyzing Customer feedback, LTR, NPS data to understand in-market trends, working with the US team to define reporting/analysis needs, identifying key customer trends through various analysis techniques, synthesizing disparate data sources to develop cohesive stories, and providing holistic insights on Customer Experience trends and Strategy. The ideal candidate should have 3-5 years of hands-on experience in Customer Experience Analytics/Customer Analytics/Customer Insights. A Masters degree in Economics/Statistics/Analytics or an MBA in Marketing is required. Primary skills should include hands-on experience in SQL, Teradata, Hadoop, Python, building Statistical/Mathematical models, and multivariate analysis. Consulting skills and excellent communication skills are essential to impact business decisions through analytics and research. Experience with text data, Customer Experience or Voice of Customer Metrics, and familiarity with the retail industry are desired skills for this role. The candidate should be proactive in applying modern tools and techniques to improve efficiency, accuracy, and overall quality of insights offered to stakeholders.,

You will be part of a dynamic and agile team at iRage, where you will have the opportunity to tackle complex engineering challenges and contribute to shaping the future of the fast-paced Algo-Trading industry. Working alongside talented programmers, quants, and traders, you will play a crucial role as a Quantitative Researcher. As a Quantitative Researcher, your responsibilities will include enhancing existing trading strategies, developing new strategies, and validating hypotheses put forth by traders. There is a vast pipeline of research ideas awaiting exploration, with the potential to significantly impact profits. Your role will involve analyzing market behavior at both micro and macro levels, utilizing vast amounts of data to identify micro behavioral patterns and potential trading opportunities. You will be tasked with creating automated trading signals, managing strategy complexity, automating parameter adjustments, optimizing trading strategies, and developing mathematical models to address stochastic challenges. To excel in this role, you should possess a keen understanding of financial markets and fundamentals, strong analytical and quantitative skills, a solid educational background, and a passion for problem-solving and mathematics.,

The Nasdaq Corporate Platform is seeking a dedicated Test Automation Specialist (AI) with expertise in software testing for AI based products to join the Bangalore technology center in India. If you are driven by innovation and effectiveness, this opportunity is perfect for you! As a Test Automation Specialist (AI), you will be instrumental in delivering complex technical systems to customers and exploring new technologies within the FinTech industry. Your role will involve testing, developing test strategies, and executing tests for AI based products related to Investor Relations and Sustainable Lens Software Products. Joining the engineering team in Bangalore, you will collaborate with a group of passionate professionals to build innovative IR and ESG solutions for corporates. Your responsibilities will include enhancing products, supporting rearchitecture, and adopting new software paradigms. Key Responsibilities: - Design and implement automated testing frameworks for generative AI models - Create testing strategies to validate AI-generated content quality, coherence, and safety - Collaborate with AI researchers, data scientists, and product developers - Develop tools for generating diverse test data sets and simulating real-world AI scenarios - Implement automated tests for engineering processes and model versioning - Analyze test results and provide detailed reports on model performance and improvements Qualifications: - Bachelor's or Master's degree in Computer Science, AI/ML, or related field - 2-4 years of experience in software test automation, with a focus on AI/ML systems - Proficiency in Python programming - Strong understanding of AI/ML algorithms and testing tools - Experience in AI-driven application testing and model performance validation Preferred Qualifications: - Experience with cloud platforms like AWS for AI deployment - Knowledge of containerization tools such as Docker and Kubernetes - Familiarity with vector databases At Nasdaq, we foster a culture of innovation and empowerment, where individuals are encouraged to challenge the status quo and take intelligent risks. We value diversity and strive to create a supportive and connected work environment. If you are passionate about technology and ready to make an impact, we invite you to apply for this exciting opportunity. Please submit your application in English at your earliest convenience, as the selection process is ongoing. We look forward to connecting with you within 2-3 weeks. Nasdaq is a global leader in trading, exchange technology, and public company services, with a commitment to innovation and excellence. Join us on our mission to reshape tomorrow's markets and drive positive change in the world of finance.,

We are seeking a dedicated and enthusiastic individual to be a part of our project "Smart Metacomposite Design for Dual-Purpose Energy Harvesting and Vibration Control," which is supported by the Anusandhan National Research Foundation (ANRF) through the Prime Minister Early Career Research Grant. As a Junior Research Fellow (JRF) (01) in this project, you will have the opportunity to contribute to cutting-edge research for a duration of 36 months. The ideal candidate should hold a First Class M.E./M.Tech/M.Sc degree in Mechanical Engineering/Production Engineering/Material Science/Metallurgy/Physics/Computer Science or its equivalent. It is essential for candidates to have qualified GATE/NET examinations. Additionally, familiarity with mathematical modeling, software, and simulation tools is desirable for this role. Preference will be given to candidates who have previously published papers in SCI/SCIE/SCOPUS-indexed journals. If you meet the qualifications and are passionate about research in the specified fields, we encourage you to submit your updated CV via email to ajitendra@manit.ac.in.,

Embark on a transformative journey as a Quant Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Design analytics and modelling solutions to complex business problems using your domain expertise. Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. Develop high-performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. Essential skillsets required for this role include: - A bachelor's or master's degree in computer science or related fields - Strong Computer Science fundamentals - Experience or master's degree in software development, covering the complete Software Development Life Cycle (SDLC), with a strong understanding of software design patterns - Experience or master's degree in Python development - Experience with DevOps tools such as Git, Bitbucket, and TeamCity - Proficiency in technical documentation - Excellent verbal and written communication skills Some other highly valued skills may include: - Experience in a financial institution delivering analytical solutions and model implementation - Experience with Model deployment frameworks and workflows (e.g., databricks, kedro) - Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in business decision-making You may be assessed on essential skills relevant to succeed in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based out of the Noida location. Purpose of the role: To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities: - Design analytics and modelling solutions to complex business problems using domain expertise - Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools - Development of high-performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams - Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them - Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users - Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy - Ensure all development activities are undertaken within the defined control environment Analyst Expectations: - Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement - Requires in-depth technical knowledge and experience in their assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources - Impact the work of related teams within the area - Partner with other functions and business areas - Take responsibility for end results of a team's operational processing and activities - Escalate breaches of policies/procedure appropriately - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to - Demonstrate understanding of how own sub-function integrates with function, alongside knowledge of the organization's products, services, and processes within the function - Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents - Guide and persuade team members and communicate complex/sensitive information - Act as a contact point for stakeholders outside of the immediate function, while building a network of contacts outside the team and external to the organization All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

As an intern at Underpin Services, you will have the opportunity to collaborate with game designers and developers in designing, analyzing, and refining game mechanics and systems using mathematical models. Your responsibilities will include assisting in the creation of simulations and statistical models to predict and analyze game outcomes. You will be expected to perform data analysis to identify trends and insights that can directly inform game design decisions. Additionally, you will work on the mathematical aspects of random number generation (RNG) and probability distributions in games. Your input in providing feedback and suggestions on game features and mechanics from a mathematical perspective will be highly valued. It is crucial to stay up-to-date with industry trends and best practices in game mathematics and apply them effectively to ongoing projects. Underpin Services is a digital marketing consultancy and branding services company that prides itself as a trusted partner for businesses looking to thrive in the digital landscape. Join our dedicated team of experts who specialize in delivering tailored digital agency services to empower small businesses.,

As a Mathematical, Statistical, and Machine Learning Modeler at our organization, your role is vital in designing, developing, implementing, and supporting models and analytics that drive key business decisions. Your responsibilities include: Designing analytics and modeling solutions to address complex business challenges by leveraging your domain expertise. Collaborating with technology teams to define necessary dependencies for analytical solutions, including data, development environments, and tools. Developing highly effective, well-documented analytics and modeling solutions, showcasing their impact to business users and independent validation teams. Implementing models and analytics in reliable, well-tested software and working with technology partners to ensure their operational success. Providing continuous support to maintain the effectiveness of analytics and modeling solutions for end-users. Ensuring adherence to all Barclays Enterprise Risk Management Policies, particularly the Model Risk Policy, and conducting all development activities within the established control framework. In this role, you are expected to manage a significant business function, contributing to strategic initiatives, policy development, and complex projects. You will lead a large team or sub-function, fostering a performance-driven culture and aligning with the organization's values. Alternatively, as an individual contributor, you will lead projects across the organization, serving as a technical expert and thought leader, driving innovation and collaboration. Your responsibilities also include providing expert advice to senior management, overseeing resourcing and budgeting, managing policy creation, and ensuring compliance with regulations. You will monitor external environments, regulators, and advocacy groups to advocate on behalf of Barclays when necessary. Additionally, you are required to maintain in-depth knowledge of industry practices, market trends, and business integration to achieve overall objectives. As a Senior Leader, you must exhibit the Barclays leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others. Furthermore, you are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive. Your role as a Mathematical, Statistical, and Machine Learning Modeler is crucial in driving data-driven decisions and ensuring the organizations success through innovative and effective analytics solutions.,

Embark on a transformative journey as a Quant Analyst at Barclays, where you will spearhead the evolution of the digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Design analytics and modeling solutions to complex business problems using domain expertise. Collaborate with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. Develop high-performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams. Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. Essential skillsets required for this role include: - A bachelor's or master's degree in computer science or related fields - Strong Computer Science fundamentals - Experience or Master's degree in software development, covering the complete Software Development Life Cycle (SDLC), with a strong understanding of software design patterns - Experience or Master's degree in Python development - Experience with DevOps tools such as Git, Bitbucket, and TeamCity - Proficiency in technical documentation - Excellent verbal and written communication skills Some other highly valued skills may include: - Experience in a financial institution delivering analytical solutions and model implementation - Experience with Model deployment frameworks and workflows (e.g., databricks, kedro) a plus - Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in business decision-making You may be assessed on essential skills relevant to succeed in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based out of the Noida location. Purpose of the role: To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities: - Design analytics and modeling solutions to complex business problems using domain expertise - Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools - Development of high-performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams - Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them - Provision of ongoing support for the continued effectiveness of analytics and modeling solutions to users - Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy - Ensure all development activities are undertaken within the defined control environment Analyst Expectations: - Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement - Requires in-depth technical knowledge and experience in their assigned area of expertise - Thorough understanding of the underlying principles and concepts within the area of expertise - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources - Impact the work of related teams within the area - Partner with other functions and business areas - Take responsibility for end results of a team's operational processing and activities - Escalate breaches of policies/procedure appropriately - Take ownership for embedding new policies/procedures adopted due to risk mitigation - Advise and influence decision making within the own area of expertise - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to - Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organization's products, services, and processes within the function All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They are also expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Work Your Magic with us! Ready to explore, break barriers, and discover more We know youve got big plans so do we! Our colleagues across the globe love innovating with science and technology to enrich peoples lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That&aposs why we are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe. PURPOSE OF THE ROLE The Associate Scientific Director, Translational Quantitative Pharmacology (TQP) position in Quantitative Pharmacology (QP) within the broader Clinical Measurement Sciences (CMS) organization is a scientific and cross-functional role, responsible for developing and executing Model Informed Drug Development (MIDD) strategies across the R&D lifecycle. This position will be responsible for all TQP assignments either executed internally or in collaboration with external TQP related CROs by providing close scientific and technical supervision. The incumbent will be expected to manage multiple projects simultaneously and participate in discussions and presentations. The role requires the candidate toalso communicate TQP related science and strategies to all interfacing disciplines at the project or non-project levelsand help develop modeling toolboxes to assist project teams in making quantitatively-driven decisions. Specific Job Description KEY ACCOUNTABILITIES To be an independent contributor in the field of translational quantitative pharmacology to help advance the fundamental science of the field, to help guide, educate, mentor and contribute to the success of the discipline within the company. To be able to independently develop quantitative mechanism-based PK/PD models that will inform compound progression decisions from lead optimization to clinical proof of concept and beyond for the immunology and oncology pipelines for all modalities of interest. The incumbent will have responsibilities for performing human PK predictions and quantitative DDI predictions, the design and analysis of pre-clinical PK/PD experiments and data to support preclinical development, and translational PK/PD analyses to support FIM dose estimates for all modalities of interest. The incumbent will work to develop models or use commercially available software tools to understand and quantify toxicological signals such as cardiovascular, hepatic, renal, dermal etc to determine the therapeutic index and help guide project decisions To be able to interact with various project team members in a clear and timely manner, understanding the functions of other team members and being able to explain and educate model-based analyses and results to team members from various backgrounds The incumbent candidate will work in a dynamic team with frequent interactions, both within the team and with associated functions, and will be responsible for the development and implementation of innovative modeling and simulation platforms/strategy that ensure that the right drug is administered to the right patient at the right dosage. As a member of project teams and sub-teams, the incumbent will represent QP and present analysis outcomes to cross-functional teams, at department meetings, project review committees and conferences. The candidate will contribute to the preparation and presentation of both internal and external documentation (e.g. Investigators Brochure, IND, CTD) and program strategy. STRATEGIC IMPACT Provide technical expertise to promote and deliver on MIDD strategy of the QP organization COOPERATION Interfaces With Other Departments/Functions Oncology and Neurology & Immunology Research Units Clinical Pharmacology (CP) Biostatistics Safety Sciences (Toxicology) DMPK Biomarkers Pharmacometrics Data Sciences Project Teams External Interfaces Represent company/ organization in consortia (e.g. IQ working groups) and academic research partnerships. Represent function and department in interactions with contractors Present and publish work in relevant journals and MIDD related conferences. CANDIDATES PROFILE Qualifications, Experience, Knowledge & Competencies EDUCATION/LANGUAGES A minimum of 5 years in industry and/or academia in a relevant background A PhD in Pharmacokinetics, Pharmaceutical Sciences, Biomedical/Chemical Engineering, Applied Mathematics, or a related discipline with a proven track record of applying modeling and simulation approaches to biological problems Fluency in English. Professional Skills & Experience Sound knowledge of the theory and principles of Quantitative Systems Pharmacology plus hands-on competence in mathematical modeling of pharmacologic effects with mechanism-based models using relevant software or programming languages (e.g., MATLAB/SimBiology, NONMEM, R, Monolix). Experience in applying translational PK/PD M&S including QSP approaches in research and early clinical development to inform confidence in target/ mechanism, dose/ regimen, and combinations. Knowledge of basic principles of biology and pharmacology at the organismal, cellular and molecular level, preferably in one or more of the following areas: oncology, immuno-oncology, immunology Ability to rapidly assimilate knowledge of complex biology of drug action for novel mechanisms and transform such understanding into multi-scale mathematical models, with requisite mathematical and computational proficiency Experience in applying PBPK modeling and simulation using relevant software (e.g., MATLAB, Simcyp, GastroPlus) is desirable. Experience with toxicological predictions using tools such as DILI Sym/RenaSym for hepatic and renal toxicity respectively is highly desirable Ability to mentor, educate and explain modeling concepts and approaches to colleagues within QP/CMS and the larger organization as well Flexibility and keen pursuit of innovation throughout all phases of the drug discovery and development process A desire to develop and grow by way of taking responsibility and engaging in additional tasks and operations. Ability to work independently and deliver results in a timely manner Publications in conference proceedings and peer-reviewed journals is desirable Excellent communication skills with the ability to translate and summarize outcomes of modeling and simulation analysis as relevant for research and development projects What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity! Show more Show less

The Operations Orchestration product team (OOPT) focuses on building and sustaining digital products for shopfloor operations management. This product line encompasses two key capabilities: Finite Scheduling and Manufacturing Productivity. These capabilities are essential for the optimized operation of the shop floor and provide enhanced visibility of the status of the production process. Operations Orchestration operates within the Manufacturing Value Team (MVT) of Digital our Manufacturing Division. Our product team is expanding rapidly to meet increasing demand for Finite Scheduling capabilities across the worldwide our Manufacturing Division network. As such, we are recruiting for Specialists who will be responsible for developing and maintaining manufacturing process models in the RTMS platform. These roles will work closely with other OOPT and site personnel to successfully deliver scheduling and capacity analysis models in accordance with defined requirements and objectives. The Specialists will participate on new deployments as well as provide ongoing operational support at existing our Manufacturing Division sites. Duties will include model configuration, testing, and documentation, along with responding to support and enhancement requests from site schedulers. Because our team has global reach, the roles will collaborate with team members across multiple timezones (CET, GMT, and US Eastern) and therefore require the ability to adjust working hours to facilitate this remote collaboration. In addition, clear and effective written communication is essential for success in these roles. Responsibilities: Develop and/or modify process models for Drug Substance, Drug Product and Packaging operations using discrete event simulation Provide technical support for process optimization analysis, such as debottlenecking, capacity analyses, and what if analysis for manufacturing operations Assist technical OOPT members with data analysis for manufacturing system integrations and the debugging/testing of data interfaces using SQL. Provide customer support for the RTMS platform. This includes troubleshooting, escalating, and resolving issues reported by the users at the different sites Use of agile tools (e.g. Jira, Confluence) and methodologies (e.g. sprints) to deliver defined product increments Delivery in accordance with defined scope/time/acceptance criteria Required Education and Experience: B.S. in Science/Engineering or equivalent technical field with 5-7 years of relevant experience. Demonstrated experience in mathematical modeling and at least one programming/scripting language (e.g. C/C++, Matlab, Python, R, C#, Java). Ability to communicate effectively with both technical and non-technical personnel to achieve the desired outcomes Excellent, proactive written communication, coupled with the ability to divide assigned tasks into smaller increments to leverage the timezone differences across the team. For example, the ability to receive written feedback on a task from a colleague/customer working overnight, and then work independently to address the feedback and reply in writing so that the colleague/customer can review the completed task when their work hours resume. Strong analytical problem-solving skills and ability to work independently within the role's defined responsibilities. For example, although these roles work in collaboration with other technical team members, success will require the ability to proactively and independently overcome obstacles. Successful candidates should be prepared to apply their full expertise to situations and take appropriate initiative to solve problems. Ability to work both independently and collaboratively with a globally dispersed team Practice in Agile Methodology and Continuous Improvement and with a Digital & Innovative mindset Expertise in authoring and executing technical documentation following industry standards and methodologies (SDLC, AGILE) Excellent communication and problem-solving skills with a sense of ownership, enthusiasm, and innovation Preferred Experience and Skills: Process Manufacturing expertise, preferably in the pharmaceutical industry Prior experience as an industrial engineer or simulation developer, for example with a design engineering and/or A&E firm using discrete event simulation in the pharma industry is strongly preferred; prior experience as an automation/controls developer in pharma or an adjacent process industry is an advantage Familiarity with manufacturing scheduling, discrete event simulation, finite state machines, and associated algorithms Experience using SQL to query and analyze datasets, including metrics/KPI calculation Knowledge of manufacturing systems such as PAS-X MES, Aveva PI, etc. Our Manufacturing & Supply Division is dedicated to being the most trusted supplier of biopharmaceuticals worldwide. Our facilities, along with our external contractors, suppliers, and partners, create a reliable global manufacturing network that's devoted to delivering a high-quality, reliable supply to customers and patients on time, every time.

The position of Quantitative Developer requires a candidate with a good understanding of quantitative finance and proficiency in developing solutions using C#/C++. Your primary responsibility will involve analyzing and developing Monte-Carlo based financial risk calculations for Market risk and Credit Risk requirements. Your tasks will include analyzing and resolving functional issues related to financial derivatives valuation, Market Risk, Credit Risk, and CVA computations raised by clients. You will need to comprehend clients" requirements, analyze their functional specifications and spreadsheets, and implement solutions on the C#.net platform. Furthermore, you will be expected to read and research mathematical solutions for regulatory requirements and financial valuations, validate existing models, and propose improvements. Additionally, your role will involve supporting sales teams, clients, and implementation teams by providing guidance and demonstrations. The nature of the product you will be working on is an enterprise-wide risk engine designed to measure and monitor credit exposures and CVAs rapidly. This engine prices complex derivatives using closed-form and Monte-Carlo techniques, enabling customers to measure and manage Market risk effectively. Qualifications: - Post Graduate degree in Mathematics/Statistics/Physics/Quantitative Finance or a related quantitative field. - Proficiency in understanding capital markets, financial derivatives, and risk management. - FRM/PRM certifications are desirable. - Certificate in Quant Finance (CQF) is preferred. Experience: - Minimum of 3 years of experience in quantitative development, analysis, and research. - Experience in collaborating with multinational corporations and engaging with individuals on-site in the UK, US, and APAC regions. Key Skills: Quant, Quantitative, Monte Carlo simulations, Risk, Derivatives, Financial Modeling, Mathematical Modeling, C#, C++, Algorithm, Data Structures, Market Risk, Credit Risk, FRM, PRM, quantitative development, analysis, research, CQF, Quant Finance, Quantitative Developer. Industry: IT/Computers-Software Role: Software Engineer Education: B.E/B.Tech For any queries or to apply for this position, please contact jobs@augustainfotech.com.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are seeking a talented and driven Kinaxis Lead to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting complex data sets to drive informed business decisions. You will work closely & directly with the client & cross-functional teams to identify trends, patterns, and insights that will contribute to our company's growth. In this role, you will play a key role in: - Performing detailed discovery sessions with business users to understand and document Rapid Response configuration requirements, including the customer's supply chain network, operating model, system landscape, planning processes, as well as objectives and targets for Kinaxis implementation. - Selecting standard functionalities in Rapid Response and designing data model changes, solution configuration, and customizations. - Leading solution blueprinting and detailed design activities. - Assigning configuration tasks to project members according to their skills, reviewing deliverables, and tracking completion. - Applying advanced mathematical models to address customer requirements. - Supporting data management and data integration activities, including source systems data transformation, data loading into Rapid Response, data cleanup, and validation. - Supporting services sales opportunities working with the Account Executives and Client Partners. Certified as a Kinaxis Solution Architect or has completed all requirements for Kinaxis Solution Architect certification. Thorough understanding of supply chain planning concepts, processes (demand planning, supply planning, inventory management, S&OP, etc.), KPIs, and best practices in supply chain planning. Strong analytical skills, data mining knowledge, and proficiency in handling and processing large volumes of data. Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks. Ability to communicate mathematical, technical, or software usage concepts to audiences with limited background/knowledge on the subject. We recognize the significance of flexible work arrangements to provide support. Be it remote work, flexible work hours, or alternative work schedules, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a mathematician at Protocolzone Private Limited, you will be responsible for developing and enhancing algorithms, models, and mathematical solutions essential for various software applications. Your expertise will be pivotal in solving complex problems, implementing non-linear optimization techniques, streamlining processes, and enhancing the overall efficiency and performance of software products. Your key responsibilities will include designing and developing mathematical algorithms tailored to address specific challenges, analyzing large datasets to extract valuable insights for data-driven decision-making, and working on statistical analysis and data modeling to boost the functionality of software products. Furthermore, you will optimize existing algorithms and mathematical models to enhance efficiency, apply mathematical concepts to machine learning and artificial intelligence projects, and develop and implement mathematical models for tasks like pattern recognition, classification, and prediction. Your role will also involve tackling challenging problems through the application of mathematical principles and analytical thinking, collaborating closely with team members to resolve issues related to advanced mathematical concepts, and documenting mathematical models, algorithms, and methodologies for internal reference and knowledge sharing. The ideal candidate should possess a strong proficiency in mathematical modeling, algorithms, and statistical analysis, along with experience in programming languages such as Python, R, and Matlab. Familiarity with machine learning frameworks and techniques is highly desirable, along with excellent problem-solving and analytical skills. Effective communication skills are crucial for collaborating with interdisciplinary teams. Qualifications required for this position include an advanced degree (M.Sc. or Ph.D.) in Mathematics, Applied Mathematics, Computer Science, or a related field. The ideal candidate should have 3-6 years of relevant experience and the job location is Ahmedabad. This is a full-time employment opportunity. If you are passionate about applying your mathematical expertise to drive innovation and solve challenging problems in a dynamic work environment, we invite you to apply for this exciting opportunity at Protocolzone Private Limited.,

The role of Risk Modelling Lead Analyst is based in India, requiring all normal working days to be carried out in India. As a Risk Modelling Lead Analyst, you will be responsible for developing and maintaining compliant and fit-for-purpose models used in the bank's risk framework. Your expertise will enable you to provide clear and well-presented analysis, contributing to a collaborative and supportive team environment where sharing ideas and learning from others is highly valued. This role is offered at a senior analyst level. Your primary responsibilities will include designing, developing, and maintaining effective and compliant statistical risk and decision support models, as well as related analytics. You will be expected to deliver analytics and performance Management Information (MI) related to risk models, develop new and enhanced approaches to support improved business and customer outcomes. Key responsibilities: - Providing advice and support to business stakeholders on model use, impact, and implementation - Supporting regulatory engagement and internal governance related to risk models and frameworks - Developing well-documented models that meet the bank's standards and requirements - Ensuring the delivery of all milestones to agreed dates, budget, and quality standards To excel in this role, you should have experience working in a modelling or related quantitative function, with a focus on retail or wholesale banking environments. A degree in a numerate discipline, coupled with experience in data-driven analysis and statistical or mathematical modelling, is essential. Additionally, proficiency in risk systems, methodologies, and processes within a banking setting is required. Key qualifications and skills: - Proficiency in programming languages, particularly on large datasets in a mainframe or server environment - Understanding of statistical techniques and their appropriate application for the benefit of the bank and customers - Strong team working skills and the ability to collaborate effectively with colleagues If you are passionate about risk modelling, possess the necessary qualifications and skills, and thrive in a dynamic and fast-paced environment, we encourage you to apply for this challenging and rewarding position.,

As a CPU Performance Engineer at AMD, you will be a part of the Client CPU Performance Team in Hyderabad, India. Your primary responsibility will be to analyze performance and drive next-generation CPU core hardware and software optimizations for AMD's notebook and desktop processors. This role involves working on key applications, analyzing and tracing system-level workloads, and conducting performance analysis on internal and competitive hardware platforms. Additionally, you will be involved in the development of tools and methodologies for workload analysis and data collection. To excel in this role, you should have a strong passion for leading-edge CPU/SoC architecture, design, and verification. Collaboration is a key aspect of this position, as you will work closely with architects and engineers from different locations and time zones. Your analytical and problem-solving skills will be put to the test as you identify areas for improvement in AMD products, run performance simulations, and debug performance issues. Your responsibilities will also include interacting with various teams such as microprocessor architects, software optimizers, compiler teams, and verification engineers to address architectural performance issues. The ideal candidate should have 3-15 years of prior industry/academic experience and possess a strong background in computing software, computer architecture, system simulation, and performance evaluation. Proficiency in mathematical and statistical modeling, experience with x86 instruction set processors, and expertise in C/C++ programming and software engineering concepts are essential for this role. A degree in Electronics/Computer Engineering or Computer Science with an emphasis on computer architecture is preferred. At AMD, we are committed to pushing the boundaries of innovation to solve the world's most critical challenges. If you are someone who thrives in a collaborative environment, has a passion for cutting-edge technology, and is eager to contribute to the advancement of CPU performance optimization, we invite you to join our team and be a part of transforming lives with AMD technology.,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

Career Point University, Kota School of Basic & Applied Sciences invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - Mathematics. Key Responsibilities: Conduct undergraduate and postgraduate classes in Mathematics. Participate in academic planning, curriculum development, and departmental activities. Organise and coordinate seminars, workshops, and conferences. Supervise student projects, dissertations, and research activities. Collaborate with academic and research institutions for joint initiatives. Eligibility Criteria: Ph.D. in Mathematics from a recognised University/Institution. NET (National Eligibility Test) qualification is mandatory. Proven academic and research credentials, including publications in reputed journals, authored books, patents, or technology development. How to Apply: Interested candidates may email their updated CV to hr@cpur.edu.in or contact us at +91-9057532005 for further information.

The role of a Mathematician, Physicist, or Engineer in our cross-functional optimization team involves developing, validating, and refining mathematical models and algorithms to drive optimization across product design, manufacturing processes, and material systems. By collaborating with mechanical/electrical engineers and software developers, you will contribute significantly to data-driven decision-making and computational efficiency in various areas such as lead time reduction, material optimization, process improvement, and chemical composition refinement. Your responsibilities will include: - Developing mathematical models and optimization algorithms to support engineering objectives like lead time reduction, material efficiency, and process optimization. - Collaborating with engineers to translate physical system constraints and performance goals into solvable mathematical formulations. - Working with software developers to integrate algorithms into custom tools and platforms for computational efficiency and scalability. - Continuously validating and enhancing existing algorithms using real-world data, simulations, and feedback. - Applying principles from applied mathematics, physics, and numerical methods to solve complex optimization problems across various domains. - Supporting the development of predictive models and simulations for chemical composition optimization and structural performance. - Ensuring compliance with external and internal regulations, procedures, and guidelines while upholding Hitachi Energy's core values of safety and integrity. Requirements: - Masters or Ph.D. in Mathematics, Physics, Applied Mathematics, or a related field. - Bachelors degree in engineering or a related field with 3 to 6 years of relevant experience. - Strong foundation in optimization theory, numerical methods, and mathematical modeling. - Proficiency in programming languages such as Python and MATLAB for algorithm development. - Ability to collaborate effectively in a multidisciplinary team and possess analytical thinking, problem-solving, and communication skills. - Capability to work both independently and as part of a team in a fast-paced environment. - Proficiency in spoken and written English is essential. If you are a qualified individual with a disability requiring accessibility assistance or accommodation during the job application process, you may request reasonable accommodations by completing a general inquiry form on our website. Please provide your contact information and specific details about the required accommodation to support you throughout the application process. Requests for purposes other than accessibility assistance will not receive a response.,

About The Role : Job Title:Workday Prism Analytics and Reporting Consultant HR IT Corporate TitleAssociateLocation:Pune, India Role Description Focuses on HR Data and Workday Domain (Prism and Reporting). Requires understanding of HR data transformation using WD Prism, Reporting, and Core WD HCM modules. Manages technical resources, solution financials, staff development, and ensures quality deliverables across HR IT projects. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your Key Responsibilities Develop a strong understanding of user reporting needs and recommend implementation strategies using Workday tools. Design, develop, and tune data visualization tools and reports aligned with business requirements. Create and configure metadata objects. Collaborate with ETL developers on report design strategies and application analysts to identify source data systems. Recommend innovative reporting solutions based on cost, effectiveness, and data availability. Solve technical and business challenges, communicating solutions effectively. Build prototypes for demonstrations to stakeholders and senior leaders. Provide Subject Matter Expert (SME) support for troubleshooting, Production Support, and BI-driven problem-solving. Supervise and lead staff as needed. Manage security setup/maintenance for data visualization tools and coordinate with central security teams. Develop project timelines, documentation, and training materials. Offer post-implementation support and process fine-tuning. Maintain communication with management and users during development cycles. Coordinate user activities to ensure data and system integrity. Your skills and experience Design, build, and maintain data pipelines/transformations in Workday Prism Analytics. Translate business requirements into scalable Prism solutions. Optimize Prism workloads for performance and efficiency. Integrate data from diverse sources into Workday Prism with accuracy. Develop ETL processes for reporting and analytics. Build reports, dashboards, and analytics using Workday tools. Deliver actionable insights and ad hoc analyses as needed. Collaborate with HR, Finance, IT, and other teams to address data needs. Train users to maximize Prism Analytics adoption. Ensure compliance with data governance policies. Stay updated on Workday Prism features and industry trends. Identify and implement process improvements. Strong experience in WD Dashboards, Discovery Boards, Reporting, and tools like Tableau. Developing forecasting models and knowledge of mathematical modeling/regression analysis (preferred). Strong stakeholder management and cross-functional collaboration. How well support you . . . .

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

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

The role involves performing data analysis tasks such as gathering financial data from various sources, including stock prices, volume, and other market indicators. You will be required to apply technical indicators like moving averages, MACD, and RSI to historical market data to identify patterns or trends. Additionally, using statistical and mathematical models to analyze data and predict potential market movements will be part of your responsibilities. Another key aspect of the job is examining price charts to identify patterns such as head and shoulders, wedges, or double tops/bottoms that might indicate future market behavior. You will be utilizing charting software to visualize data trends and support your analysis. In terms of report preparation, you will compile your findings into reports or presentations, summarizing analysis and forecasting market trends. It is essential to ensure that the reports are clear and understandable, providing actionable insights for traders, portfolio managers, or clients. Furthermore, the role includes database maintenance tasks such as updating and maintaining databases with the latest market data to ensure that analyses are based on current information.,