19 Mathematical Modelling Jobs

As a SM&D Electronic Trading Quant at Barclays, your role involves designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post trade analytics, electronic liquidity offering, and associated analytics. Your responsibilities include: - Designing and developing algorithms and model-based business logic for electronic trading in Markets. - Applying Data Science to trading and sales activities. - Working on underlying technology for electronic trading and Data Science. To be successful in this role, you should have the following qualifications: Basic/ Essential Qualifications: - Graduation or masters degree from a reputed institution in a quantitative, mathematical, or scientific discipline. - Hands-on experience with algorithms or eTrading business logic. - Strong programming skills in Python, Q/KDB, and at least one of JAVA or C++. - Excellent verbal and written communication skills. Desirable skillsets/ good to have: - Strong understanding of econometrics, statistics, and machine learning tools. - Prior experience as a quant researcher/trader with algorithms in a sell-side environment. - Ability to multitask and work in a dynamic environment individually and as part of a team. - Logical thinking, problem-solving, and mathematical skills. The purpose of your role is to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making in the investment banking domain. Your accountabilities include: - Developing and implementing quantitative models and strategies for market trend insight, trading decisions, pricing, and risk management. - Collaborating with sales teams to identify client needs and develop customized solutions. - Conducting in-depth research, data analysis, and statistical modeling to understand market trends and risk dynamics. - Providing front office infrastructure support by owning and maintaining analytical libraries. - Offering expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation in the trading environment. As an Analyst, you are expected to perform activities in a timely manner and to a high standard consistently, driving continuous improvement. You will have an impact on related teams within your area and partner with other functions and business areas. You must take ownership of managing risk, embedding new policies/procedures, and advising on decision-making within your expertise. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

Overview : We are seeking talented Optimization scientist to join our team. As an Optimization Engineer, you will be responsible for developing and implementing optimization algorithms and techniques to improve the performance, efficiency, and reliability of our systems and processes. You will work closely with cross-functional teams to analyse complex problems, design innovative solutions, and drive continuous improvement initiatives. Responsibilities : 1. Develop mathematical models and algorithms for optimization problems (LP, IP, MIP, NLP, QP)across various domains, such as supply chain management, resource allocation, scheduling, and routing. 2. Implement optimization solutions using Python and optimize code for performance and scalability. 3. Collaborate with data scientists, engineers, and business stakeholders to understand requirements, gather data, and define optimization objectives and constraints. 4. Conduct thorough analyses of data sets, system performance metrics, and operational processes to identify optimization opportunities and areas for improvement. 5. Design experiments and simulations to evaluate the effectiveness and robustness of optimization algorithms and validate proposed solutions. 6. Work closely with software development teams to integrate optimization models and algorithms into production systems and applications. 7. Monitor the performance of deployed optimization solutions, analyse results, and iterate on algorithms to achieve desired outcomes. 8. Communicate findings, insights, and recommendations to stakeholders through presentations, reports, and documentation. Qualifications : 1. Bachelors or masters degree in computer science, operations research, engineering, mathematics, or a related field. 2. Solid understanding of optimization theory, mathematical modelling, and algorithm development. 3. Proficiency in Python programming. 4. Experience with optimization libraries and frameworks, such as SciPy, NumPy, Gurobi, or CPLEX. 5. Strong analytical and problem-solving skills, with the ability to translate complex problems into actionable insights and solutions. 6. Experience working with large-scale data sets, databases, and distributed computing environments. 7. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

As a Junior Research Analyst, you will be responsible for designing, developing, and implementing quantitative trading strategies for both Indian and international markets. Your main tasks will involve conducting thorough research and analysis of market data to identify profitable trading opportunities. Additionally, you will be researching portfolio construction and risk allocation techniques, as well as back-testing ideas using historical tick-by-tick data. Collaboration with other team members to enhance and optimize trading strategies will be a key part of your role. Furthermore, monitoring and analyzing market data and news to identify potential market risks and opportunities will be essential in this position. To excel in this role, you should possess a strong knowledge of statistics, probability, and mathematical modeling. Proficiency in programming languages such as Python is a must. Excellent analytical and problem-solving skills will be beneficial for carrying out your responsibilities effectively. A Bachelor's or Master's degree from a college or university is required. Prior experience in automated trading strategy development with a top HFT firm or hedge fund will be considered a significant advantage.,

As an Analyst, Data Science at Kenvue in Bengaluru, India, you will be responsible for developing and implementing advanced analytics, optimization models, and machine learning solutions to address complex Operations Research business challenges. Working closely with cross-functional teams, you will analyze large datasets, identify patterns, and generate insights to drive business value. Your key responsibilities will include: - Developing, refining, and reviewing mathematical models for supply chain systems such as inventory management, production planning, transportation logistics, and distribution networks. - Applying advanced optimization techniques like linear programming, integer programming, network flow, simulation, and heuristic algorithms to solve intricate supply chain problems. - Collaborating with stakeholders to understand business objectives, constraints, and requirements and translating them into mathematical models and optimization problems. - Working with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. - Analyzing large datasets, extracting relevant information, and identifying patterns and trends to support decision-making processes. - Following code versioning through tools like Bitbucket/GIT and documenting work on Confluence. - Building APIs for seamless integration with applications. - Keeping up-to-date with the latest developments in operations research, supply chain management, and optimization techniques. - Conducting research and exploring innovative approaches to address supply chain challenges and drive continuous improvement. What We Are Looking For: Required Qualifications: - Masters degree in Industrial Engineering, Operations Research, or Management Science or related field. - 2-4 years of business experience. - At least 2 years of experience in Supply Chain Optimization. - Proficiency in mathematical modeling and optimization techniques, including linear programming, integer programming, network flow, simulation, and heuristic algorithms. - Strong programming skills in languages like Python, experience in optimization libraries (e.g., Gurobi, FICO), and data manipulation tools (e.g., pandas, NumPy). - Experience with data analysis, statistical modeling, and visualization tools like SQL, Streamlit. - Hands-on Python programmer with a strong understanding of OOPs. - Knowledge of supply chain concepts like demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. Desired Qualifications: - APICS certification (CPIM, CSCP). - Microsoft certification (e.g., Azure Fundamentals). - Machine Learning certification. If you are passionate about leveraging your expertise in data science and optimization to make a meaningful impact on supply chain operations, we invite you to join our team at Kenvue in Bengaluru, India.,

You should be a PhD holder in the field of energy management, particularly focusing on smart home and building environments. It would be preferred if you also possess a master's degree in the same domain. Your expertise should include a comprehensive understanding of energy management systems such as demand-response based energy management, time-of-day based energy management, and energy profiling for smart home activities. You must have strong mathematical modeling skills to effectively model various energy management scenarios. Proficiency in the internal workings of energy consumption, storage, and production for smart devices like AC, HVAC, Solar Panel, Energy Storing Batteries, Smart Switch Panels, and Smart Plugs commonly used in energy management is essential. A deep understanding of natural human behaviors, such as presence, indoor positioning, and their impact on energy consumption, as well as other external factors like weather, comfort, and clothing, is crucial. In addition, you should have expertise in machine learning and deep learning algorithms for implementation in the field of smart home/building energy management and handling time series energy data. Proficiency in utilizing related libraries such as Tensorflow, PyTorch, Scikit-learn in languages like Python and R is required. A good programming skillset specific to the energy domain would be highly desirable. It is mandatory to have a proven track record of research in this particular domain.,

As a Patent Attorney (PQ or FQ) specialized in Digital (Physics) at EIP Digital, your role will involve working with a diverse range of technologies in the fields of artificial intelligence, machine learning models, mathematical modeling, fluid dynamics, thermodynamics, acoustics, statistical analysis, cryptography, quantum computing, and post-quantum techniques. You will be part of a dynamic team that excels in patent drafting, strategic patent prosecution, and handling high-tech patent litigation cases. EIP Digital is known for its extensive experience in handling patent matters related to computer hardware, software, machine learning/AI, electronics, wireless and telecommunications, applied physics, and optics. The team is involved in high-profile patent litigation cases in the UK and Germany, as well as oppositions at the EPO. You will have the opportunity to work on cutting-edge technologies at the forefront of innovation, such as electronics and health-tech, AI, and drug discovery. In this permanent full-time role at EIP Digital, you will have the flexibility to work three days in the office and two days from home. The ideal candidate should possess a strong educational background in mathematics, physics, computer science, or engineering, with a preference for a 1st Class Degree at the Bachelor's, Master's, or Doctorate level. Although a PhD qualification is preferred, candidates with exceptional skills and knowledge in handling math-heavy technologies will also be considered. Successful candidates for this position should thrive in a fast-paced environment and demonstrate excellent academic achievements, along with exceptional written and oral communication skills. You should be able to articulate complex ideas clearly, interact effectively with individuals at various levels, and balance intellectual property law knowledge with commercial requirements. Additionally, attention to detail, analytical thinking, initiative, and the ability to manage workload independently are essential qualities for this role. EIP is an award-winning patent firm recognized for its expertise in high-value and complex patent matters. As part of a multidisciplinary team, you will collaborate with patent attorneys, litigators, and commercial IP lawyers to serve a global client base ranging from SMEs to multinational corporations. EIP values diversity and actively supports initiatives to promote inclusivity within the IP profession. At EIP, you will benefit from a modern working environment with a hybrid work model, stylish offices, and reduced business hours when working from the office. The company fosters a friendly and supportive culture, encouraging openness and mutual respect among its employees. Join us at EIP Digital to be part of a forward-thinking team dedicated to innovation and excellence in the field of intellectual property.,

Job Title : Mathematical Logic Experts Location : Bengaluru (Hybrid) 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. Preferred Qualifications: Exposure to PLM systems or configuration tools like Teamcenter Product Configurator, Configit, Tacton, or similar. Background in mechanical, electrical, or software engineering with strong mathematical reasoning. Experience in handling mass customization or variant configuration logic.

As a Warehouse Operations New Associate at Accenture, your primary responsibility will be to manage planning, procurement, distribution, and aftermarket service supply chain operations. By leveraging your skills in Supply Chain Optimization, you will help clients achieve significant cost efficiencies, realizing $5 for every $1 spent on our services. Joining the Supply Chain Management team, you will play a crucial role in overseeing the flow of goods and services, optimizing processes to eliminate waste, and drive increased profitability. Your tasks will involve the strategic placement of inventory within the supply chain, with a focus on minimizing operating costs across manufacturing, transportation, and distribution functions. Utilizing mathematical modeling techniques and computer software, you will ensure the smooth operation of the manufacturing and distribution supply chain. In this role, you will work closely with your team members and direct supervisor to address routine problems using established guidelines and precedents. You will receive detailed instructions on tasks, with your decisions closely supervised as they directly impact your work. As an individual contributor within a defined scope of work, you will collaborate with your team to achieve shared goals. Please note that this position may require you to work in rotational shifts. To qualify for this role, you should hold a degree in Any Graduation and have 0 to 1 years of relevant experience. If you are passionate about Supply Chain Optimization and eager to contribute to a global professional services company known for its expertise in digital, cloud, and security, we invite you to explore this exciting opportunity with Accenture. Visit us at www.accenture.com to learn more about our innovative services and diverse capabilities.,

Requirement/Skills: Strong Analytical and logical skills Proficient with formulation and mathematical modelling Proficient in controls engineering (Control loops, PID) Excellent aptitude Strong communication (Customer and internal both) Capability to understand complete requirement from customer. Must be willing to continuously upgrade as and when required Quick learner and adaptable Technical Required Skills :Basic knowledge of PLC, HMI programming, Good at logical reasoning,Good English communication, Ready for onsite work in PAN India. Key Skills : Control Loops Pid Mathematical Modelling Hmi Programming

Join us as an "SM&D Electronic Trading Quant" at Barclays, where you will be responsible for designing and developing mathematical algorithms to support market analytics, execution strategies, pricing, hedging, pre/post-trade analytics, and models. Your main objective will be to create cutting-edge business logic and models to enhance electronic liquidity offerings to clients along with associated analytics. This role will encompass the entire process from requirements gathering to design, implementation, productionisation, optimization, monitoring, and support. The Statistical Modelling and Development team focuses on trading activities within the Markets division, particularly electronic trading. Your responsibilities will include developing algorithms and model-based business logic for electronic trading, applying Data Science to trading and sales activities, and utilizing underlying technology for electronic trading and Data Science applications. Electronic trading aims to provide liquidity to clients on agency and principal basis, involving electronic connections or trading. This requires the development of proprietary algorithms and trading business logic through data mining and statistical techniques. Your tasks will revolve around information extraction from market data, price formation, auto-hedging, algorithmic risk management, execution strategies, and smart order routing. To excel in this role, you should possess a graduation or masters degree from a reputable institution in a quantitative, mathematical, or scientific discipline. Hands-on experience with algorithms or eTrading business logic, strong programming skills (Python, Q/KDB & at least one of JAVA or C++), and excellent verbal and written communication skills are essential. Additionally, a strong understanding of econometrics, statistics, and machine learning tools, prior experience as a quant researcher/trader in a sell-side environment, ability to multitask and work in a dynamic environment both independently and collaboratively, logical thinking, problem-solving skills, and mathematical aptitude are desirable. Your primary purpose will be to provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain. You will apply quantitative analysis, mathematical modeling, and technology to optimize trading and investment opportunities. Your key accountabilities will include developing and implementing quantitative models and strategies, collaborating with sales teams to address clients" needs, conducting in-depth research, data analysis, and statistical modeling to derive insights, providing front office infrastructure support, and sharing expertise on quantitative methodologies and technological advancements. You will be expected to consistently deliver high-quality work, demonstrate in-depth technical knowledge and experience, understand underlying principles and concepts in your area of expertise, lead and supervise a team if applicable, and contribute to the work of related teams within the area. Your role will involve partnering with other functions and business areas, managing risk, ensuring compliance with regulations and codes of conduct, and enhancing controls related to your work. All colleagues are required to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

As a Senior Technology Engineer at Atlas Copco (India) Private Ltd., located in Pune, your role is crucial in delivering technically sound ideas and technologies in core design. Your mission involves providing pioneering solutions to global challenges across the stakeholders of the Atlas Copco Group. This includes handling projects for the design and development of new components, products, and technologies within the Core Design team of GECIA. You will support, interact, and participate with project leaders and customers to discuss design proposals, carry out design reviews for products & technology for Piston Core Block and Engineering. To achieve this mission, you will be responsible for developing technical competence for yourself and supporting team members towards a deep understanding of core technology, including Mathematical Modelling and MBE, Core Components, Field Applications, & Technology Platforms. Your key responsibilities will include focusing on the customer by executing various projects of core components in a timely manner, estimating assigned work, and delivering high-quality output within specified time frames. Additionally, you will actively participate in competence development activities, share learnings with the team through Knowledge Sharing Sessions, and coach team members in your areas of expertise. In terms of technology focus, you will need to understand the market scenario and current status quo for the products and components, interact with stakeholders to identify opportunities for enhancement, and promote cross-pollination of technologies by representing the team at various forums. Moreover, you will participate in developing product and component landscape for the specific core domain, ensure continuous involvement in Knowledge management Portals, and work on creating reusable calculation templates and methodologies for designing core components. Operational excellence is crucial in your role, where you will ensure adherence to SOP for all executions, work on automation projects to improve quality, and maintain desired efficiency. Your experience and knowledge requirements include a Bachelor's degree in Engineering (Mechanical or Production) with a minimum of 3-8 years of experience, strong fundamental knowledge, and exposure to developing component level Mathematical Modelling. Personality requirements include excellent communication skills, an entrepreneurial mindset, customer focus, and the ability to work under time pressure while integrating smoothly into the existing team. In return, you can expect an excellent culture known for respectful interaction, ethics, and integrity, ample opportunities for professional development, and the potential to see your ideas realized and make an impact on interesting projects. If you are someone with a go-getter attitude, willingness to explore, understand, and develop modeling for new subsystems, this role offers you the opportunity to drive your career, explore opportunities, and realize your passion in a diverse and inclusive working environment. The last day to apply for this position is 09/04/2025. Join Atlas Copco (India) Private Ltd. in their journey for a better tomorrow and be part of a team that values innovation, collaboration, and continuous growth.,

As a Front Office Quantitative Risk Manager/Model Owner at DWS, a publicly listed asset management division of Deutsche Bank, you will be responsible for conducting thorough validations of quantitative models, including financial, statistical, and predictive models. Your primary role involves collaborating closely with investment teams to identify model limitations, assumptions, and potential issues. Additionally, you will liaise with the independent model risk management team to ensure effective model validation activities. Your key responsibilities will also include maintaining comprehensive documentation for all models, such as validation reports, policies, and procedures in alignment with regulatory guidelines, internal policies, and industry best practices. It is essential to keep a record of model changes and version control, and assist in the development and implementation of model governance policies and procedures to enhance model risk management practices. Monitoring model performance, contributing to ongoing model surveillance, and reporting on model drift, validation findings, and recommended actions will be integral parts of your role. To excel in this position, you are required to possess a Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Economics, Engineering) and have three to five years of relevant experience in risk management, model risk management, model validation, or a related role. An advanced degree (Masters or Ph.D), CFA, FRM, or any industry-relevant certifications will be advantageous. Your strong understanding of financial instruments, mathematical modeling, statistical analysis, and relevant programming languages like Python, C++, R, or Matlab will be essential for success in this role. Additionally, proficiency in valuation methods, capital markets, portfolio theory, risk, and return attribution models is expected. As part of the DWS team, you will benefit from best-in-class leave policies, gender-neutral parental leaves, childcare assistance benefits, sponsorship for industry-relevant certifications and education, Employee Assistance Program, comprehensive insurance coverage, health screening, training, coaching, and a culture of continuous learning to support your career growth and development. Embrace the opportunity to work collaboratively, think commercially, and excel in a positive, fair, and inclusive work environment at DWS, where together, we strive for excellence every day.,

Who You Are & How You Can Contribute We are seeking a Physics expert with a BSc degree to join our team. This fully remote, flexible role focuses on data annotation and model refinement for AI using Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) techniques. You will play a crucial role in advancing AI's understanding of Physics concepts. What You Will Be Doing Annotate Physics-related data to improve AI comprehension and accuracy. Provide feedback on AI-generated responses to ensure scientific and academic correctness. Assist in developing problem sets and solutions to train AI models effectively. Collaborate with AI researchers to refine AI capabilities in Physics. Must-Have Traits & Qualifications Strong academic background in Physics (BSc degree minimum). Experience in Physics education, research, or content creation is preferred. Familiarity with AI, machine learning, or data annotation is a plus. Excellent problem-solving and analytical skills.

This role manages data analytics & reporting related to EU Pay Transparency mandate. Being at the heart of this very strategic & high impact mandate, the role holder gets an opportunity to experience pay data (& hence practices) across various EU countries at Oracle, and then synthesize it to meet country specific analytical & reporting requirements. Key Responsibilities Data audits, spotting outliers / potential data flaws and collaborating with functional teams for finetuning data Where needed, building structures from scattered data sources, and seeing patterns & trends through large volume data Understanding of mathematical modelling & scenario simulations. Familiarity with various forecasting techniques, viz. multivariate regression & related statistical concepts During it's course, role will require business consulting, data advisory, thought leadership, green-field thinking Firming up data reporting templates for EU mandate, in partnership with external vendors With strong execution focus, driving timely regulatory reportings, tuned to local country formats and definitions Core skills Proven ability to analyse large, complex datasets. Prior experience with pay equity modelling / compensation analysis Ability to comprehend legal requirements, hands-on experience with compliance reporting Understanding of job architecture, pay bands, and compensation frameworks and various pay elements High level of accuracy in handling data and ensuring data quality Education Background and Experience Ideal candidate shall possess minimum 10 years of experience in the field of compensation management, data analytics & reporting with graduation in engineering or statistical domains Project management, experience with transformation projects, comp framework design Data audits, spotting outliers / potential data flaws and collaborating with functional teams for finetuning data Where needed, building structures from scattered data sources, and seeing patterns & trends through large volume data Understanding of mathematical modelling & scenario simulations. Familiarity with various forecasting techniques, viz. multivariate regression & related statistical concepts During it's course, role will require business consulting, data advisory, thought leadership, green-field thinking Firming up data reporting templates for EU mandate, in partnership with external vendors With strong execution focus, driving timely regulatory reportings, tuned to local country formats and definitions Career Level - IC4

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

We are inviting exceptional academic talent to join us. We are looking for the roles of Professor, Associate Professor, and Assistant Professor. Important Criteria: We are only considering candidates who are currently teaching at IITs, IISc, or BITS this time. For Job Description and more details please check out this link (Mathematics): https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzM5MTYsInVzZXJJZCI6MTE5NCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQ4MjcxNzA1fQ.J_OzSikf2_qkkkc1U1HWVISP61LXVG5iNtpp7EVEa_g It will take you to the Turing job page, where you need to create an account ,upload your resume and complete the Interest Form. Next Steps and details: Complete the Interest form. The team will reach out to you for an interview, based on your resume matching to our requirement. Budget Range: 30-60 USD per hour. (Depends case to case basis) Engagement Length: 3-6 months. Employment Type: Part Time Hours committed: 20 hrs in the week Location: Remote, India Role Overview: We are seeking highly qualified individuals with a strong background in Mathematics ideally Professors or Assistant Professors from leading Indian institutions to contribute to the design and evaluation of large language models (LLMs). In this role, you will emulate mathematical problem-solving, create high-quality prompts and training data, and develop structured representations of tasks to enhance model reasoning in mathematics education and research. Day-to-Day Responsibilities: Simulate expert-level reasoning in mathematics across various domains (e.g., algebra, calculus, number theory, statistics, linear algebra). Design prompts and few-shot examples to guide the model toward solving complex mathematical problems. Generate synthetic datasets including proof-based questions, conceptual explanations, step-by-step solutions, and problem sets. Define schemas or abstract task representations for mathematical reasoning, such as symbolic manipulation, theorem verification, or quantitative modeling. Build evaluation scenarios that test model performance in structured problem-solving, real-world applications, or mathematical instruction. Design scoring rubrics to assess the rigor, correctness, and clarity of model-generated mathematical outputs. Simulate interactions with external tools like symbolic solvers or computational systems (e.g., WolframAlpha, Python math libraries). Requirements: Professors/Assistant Professors in Mathematics or Applied Mathematics from top Indian institutions. Deep understanding of mathematical reasoning, abstraction, and pedagogy. Experience with large language models, prompt engineering, or AI-based educational tools is a plus. Ability to structure and communicate complex mathematical concepts with clarity. Strong attention to logical consistency and accuracy in computational tasks. Passion for improving AI capabilities in mathematical understanding and problem-solving. Offer Details: Hours committed: 10-20 hrs in the week Employment Type: Part-time Location: India What we provide: Collaborative work environment with other STEM enthusiasts. Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Feel free to reach out for any queries at shubhanshi.srivastava@turing.comLooking forward to your application! Best Regards, Shubhanshi Srivastava Talent Acquisition Team

Job Description & Summary: A career within Capital Projects & Infrastructure Advisory practice in PwC for supporting us with investment strategy projects in manufacturing sector. Responsibilities: Looking for self-driven professionals having sound logical and analytical abilities and keen interest in consulting domain. Prior experience in consulting is a plus but not a must. we are looking for candidates with at least 3 years experience in consulting or business with academic background in business, finance, management, economics, planning, and engineering. Some examples of works undertaken by us: industrial development & investment promotion, market assessment, market entry strategy, driving strategy & transformation projects. Key responsibilities include Independently lead modules for project deliverable while ensuring quality. Support leadership in client management for project. Support in business development initiatives. Support in developing thought leadership content for the practice. Mandatory skill sets: Data analysis, investment strategy, market assessment, mathematical modelling, business plan preparation, consulting report/ collateral preparation Preferred skill sets: Industrial infrastructure, manufacturing sector landscape, regulatory process for setting up manufacturing plant in India, Years of experience required: 6 years plus Education qualification: Any Graduate , Post graduate (preferably MBA/ PGDM)

This role manages data analytics & reporting related to EU Pay Transparency mandate. Being at the heart of this very strategic & high impact mandate, the role holder gets an opportunity to experience pay data (& hence practices) across various EU countries at Oracle, and then synthesize it to meet country specific analytical & reporting requirements. Key Responsibilities Data audits, spotting outliers / potential data flaws and collaborating with functional teams for finetuning data Where needed, building structures from scattered data sources, and seeing patterns & trends through large volume data Understanding of mathematical modelling & scenario simulations. Familiarity with various forecasting techniques, viz. multivariate regression & related statistical concepts During it's course, role will require business consulting, data advisory, thought leadership, green-field thinking Firming up data reporting templates for EU mandate, in partnership with external vendors With strong execution focus, driving timely regulatory reportings, tuned to local country formats and definitions Core skills Proven ability to analyse large, complex datasets. Prior experience with pay equity modelling / compensation analysis Ability to comprehend legal requirements, hands-on experience with compliance reporting Understanding of job architecture, pay bands, and compensation frameworks and various pay elements High level of accuracy in handling data and ensuring data quality Education Background and Experience Ideal candidate shall possess minimum 10 years of experience in the field of compensation management, data analytics & reporting with graduation in engineering or statistical domains Project management, experience with transformation projects, comp framework design Data audits, spotting outliers / potential data flaws and collaborating with functional teams for finetuning data Where needed, building structures from scattered data sources, and seeing patterns & trends through large volume data Understanding of mathematical modelling & scenario simulations. Familiarity with various forecasting techniques, viz. multivariate regression & related statistical concepts During it's course, role will require business consulting, data advisory, thought leadership, green-field thinking Firming up data reporting templates for EU mandate, in partnership with external vendors With strong execution focus, driving timely regulatory reportings, tuned to local country formats and definitions Career Level - IC4

Greetings for the Day! We are hiring for New Product Development team as MCCB Design Engineer with 8-12 years of experience. Interested candidates do apply and share profile on priyanka.ramteke@non.se.com Position Title: Senior Manager / DGM Educational Qualification: B.E./B.Tech (Electrical) Key role and responsibilities: Design & Development in MCCB Basic group. Life cycle management of MCCB Analysis : Structural, Thermal, dynamic, and kinematic analysis using FEA Experience on cost reduction/value engineering project. Resolution of issues related to product performance, application, and customer complaints. Functional Competencies: 3D Modelling (Proe Creo), experience in Plastic and sheet metal Design and development of switchgear products, Understanding of Electromechanical design. Co-ordination with CFT Understanding of Six Sigma tools, technical standards related to LV switchgear (IS/IEC 60947-1 and IS/IEC 60947-2 preferred) Behavioural Competencies : Good analytics skills, ability to get into details. Creative & Innovative Teamwork, working with diverse team Ownership & Problem-solving Attitude. Oral and written communication skills Effectively handle multiple priorities