6 Mathematical Modelling Jobs

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