66 Applied Mathematics Jobs - Page 3

: Kotak811 is a completely digital, in-your-phone, mobile bank. It was founded in 2016 to help India adapt, evolve, and eventually overcome the barrier of digital banking and make it accessible to all. Our sole aim is to bring you the excitement and ease of digital banking with the trust and reassurance of Kotak Mahindra Bank’s experience and legacy. Incubated by Kotak Mahindra Bank, Kotak811 is where innovation meets banking to offer the user the most seamless banking experience there has ever been. (Kotak 811 is a digital zero balance savings account that can be opened online by everyone (Indian residents only) which acts as a one-stop solution for all your financial needs and day to-day transactions.) Equal Employment OpportunityAll employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by the state, or local law. Kotak 811, is committed to providing equal employment opportunities RoleData Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference

Job Title - Data Eng, Mgmt. & Governance - Analyst S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary : As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field. This position is based at our Hyderabad office. About Our Company | AccentureQualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors or masters degree in any engineering stream or MCA.

Flexing It is a freelance consulting marketplace that connects freelancers and independent consultants with organisations seeking independent talent.. Flexing It has partnered with Our client, a global leader in energy management and automation, is seeking a Data engineer to prepare data and make it available in an efficient and optimized format for their different data consumers, ranging from BI and analytics to data science applications. It requires to work with current technologies in particular Apache Spark, Lambda & Step Functions, Glue Data Catalog, and RedShift on AWS environment.. Key Responsibilities:. Design and develop new data ingestion patterns into IntelDS Raw and/or Unified data layers based on the requirements and needs for connecting new data sources or for building new data objects. Working in ingestion patterns allow to automate the data pipelines.. Participate to and apply DevSecOps practices by automating the integration and delivery of data pipelines in a cloud environment. This can include the design and implementation of end-to-end data integration tests and/or CICD pipelines.. Analyze existing data models, identify and implement performance optimizations for data. ingestion and data consumption. The objective is to accelerate data availability within the. platform and to consumer applications.. Support client applications in connecting and consuming data from the platform, and ensure they follow our guidelines and best practices.. Participate in the monitoring of the platform and debugging of detected issues and bugs. Skills required:. Minimum of 3 years prior experience as data engineer with proven experience on Big Data and Data Lakes on a cloud environment.. Bachelor or Master degree in computer science or applied mathematics (or equivalent). Proven experience working with data pipelines / ETL / BI regardless of the technology.. Proven experience working with AWS including at least 3 of: RedShift, S3, EMR, Cloud. Formation, DynamoDB, RDS, lambda.. Big Data technologies and distributed systems: one of Spark, Presto or Hive.. Python language: scripting and object oriented.. Fluency in SQL for data warehousing (RedShift in particular is a plus).. Good understanding on data warehousing and Data modelling concepts. Familiar with GIT, Linux, CI/CD pipelines is a plus.. Strong systems/process orientation with demonstrated analytical thinking, organization. skills and problem-solving skills.. Ability to self-manage, prioritize and execute tasks in a demanding environment.. Strong consultancy orientation and experience, with the ability to form collaborative,. productive working relationships across diverse teams and cultures is a must.. Willingness and ability to train and teach others.. Ability to facilitate meetings and follow up with resulting action items. Show more Show less

Job Summary: We are looking for a dynamic and dedicated Part-Time Mathematics Faculty to teach 11th and 12th-grade students preparing for the MHT-CET examination. The ideal candidate should have strong conceptual clarity, good communication skills, and a passion for teaching. Role & responsibilities Deliver basic strong mathematics lectures aligned with the MHT-CET syllabus for 11th & 12th standard, 9th & 10th Foundation. Prepare and evaluate assignments, tests, and mock exams. Clear students' doubts and provide individual support when needed. Ensure student progress through interactive and engaging teaching methods. Collaborate with academic staff for planning and syllabus structuring. Preferred candidate profile Qualifications: Bachelor's or Master's degree in Mathematics or related field. Prior experience of 6 months to 1 year 5 months in teaching MHT-CET or similar competitive exams. Strong command over topics of Algebra, Calculus, Trigonometry, and Coordinate Geometry Preferred Skills: Effective communication and presentation skills. Familiarity with online/offline teaching tools. Ability to manage and motivate students.

Job Summary: Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge Roles and Responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPI's - Knows and applies fundamental work theories/concepts/processes in own areas of work Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making - In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency - Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs - Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any) Key people and teams I work with in and outside of Tesco: People, budgets and other resources I am accountable for in my job: Enterprise Analytics Senior Management Partners across the global Tesco business Experience relevant for this job: - Applied Math: Applied Statistics, Design of Experiments, Linear -1-2 year experience in data science application in Retail or CPG & Logistic Regression, Decision Trees, Forecasting, Optimization Preferred algorithms - Functional experience: Marketing, Supply Chain, Customer, - Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital Powerpoint - Soft Skills: Analytical Thinking & Problem solving, Storyboarding

1. PGT Math & PGT Applied Math- 11th & 12th 2. TGT Physics- 9th & 10th CBSE curriculum location: Whitefield, B'lore Full time: 7:30 am to 2:30 pm (alternate Saturdays working) Interested, share resume to kusuma@vhire4u.com or call 9380173368 Required Candidate profile Qualification: B.sc, M.sc + B.ed - Math /Physics Exp: 2+ years in cbse Good communication skills Should be available to join immediately.

Hiring Assistant Professors in Mathematics with Ph.D. and 2–7 years’ experience in teaching and research. Specializations include Linear Algebra, Probability, Optimization, Data Science, and Machine Learning.

Assistant Manager- Model Validation (CAT Modeling) Full-time Company Description About The Role Job Overview: Understand the basics and principles of cat modelling and outputs (exposure, hazard, geocoding, vulnerability, financial model) Know how to use one or more than one cat modelling software (RMS, AIR, IF etc.) Run and analyze QBE exposures on different modelling software like Risk Modeler, AIR Touchstone, ELEMENTS as per model validation project needs and business. Understand different model profile settings and run sensitivity tests as per needs, extract and report results Understand Client exposure and view of risk, enabling better decision making, get familiarized with in-house tools Your responsibilities for this role may include, but are not limited to: Perform model validation and provide recommendations on model use and/or required adjustments. Work with internal teams and external data providers on analysis, utilizing available data including scientific information, claims and insured exposure. Contribute to and lead Group projects as required, liaising with other teams globally Produce customized reports on exposure and modelled results. Evaluate re/insurance pricing for individual accounts and product classes. Analyze catastrophe reinsurance structures and strategies to support reinsurance placements. Assist with the analysis of real time events and identify learnings from post-event reviews. You will need to be able to display you have the following qualifications and experience Postgraduate/Undergraduate degree, preferably in a quantitative, scientific, or environmental discipline Strong analytical and numerical ability, in order to interrogate large datasets Experience of working with re/insurance catastrophe data and/or catastrophe modelling software Excellent written and verbal communication skills, and the ability to explain technical concepts clearly Pro-active attitude to identifying inefficient processes and developing improvements Desirable Requirements Knowledge of commercial insurance and/or the catastrophe modelling industry Sound working knowledge of RMS/AIR and any other vendor modelling platforms Coding experience in a relevant language (e.g. SQL, VBA, R, C#) Experience in using mapping software (e.g. GIS) Qualifications Degree in Mathematics, Applied Mathematics, Statistics, Engineering, or Actuarial Science Job Location Cookies Settings

Min Qualification is MSc. & 4 years of teaching exp. MUST HAVE Online teaching experience Must have Laptop, Wifi, Pen tab to conduct classes Exp of teaching in CBSE, ICSE, IGSCE, IB Sharing student’s progress regularly Excellent Communication skill

Job Description: PGT Mathematics Teacher Location: Padur & Neelankarai Experience Required: 3-5 years of teaching experience Educational Qualification: Bachelors or Masters degree in Mathematics with a B.Ed. degree (mandatory) Joining Requirement: Immediate Job Overview We are seeking enthusiastic and skilled PGT Mathematics Teachers to join our team. The ideal candidate will possess strong subject knowledge, excellent teaching skills, and the ability to foster a love for mathematics among students. Key Responsibilities: Teaching and Curriculum Delivery: Plan and deliver engaging mathematics lessons for middle and secondary school students. Ensure adherence to CBSE curriculum standards. Use innovative teaching techniques to simplify complex mathematical concepts. Student Development: Foster analytical thinking and problem-solving skills in students. Identify and support individual learning needs, ensuring all students achieve their potential. Provide regular feedback to students and parents on academic progress. Classroom Management: Maintain discipline and a positive learning environment in the classroom. Encourage active participation and ensure student engagement. Assessment and Reporting: Prepare, conduct, and evaluate assignments, tests, and examinations. Maintain accurate records of student performance and attendance. Collaboration and Professional Development: Collaborate with fellow teachers to develop and share teaching resources. Participate in staff meetings, workshops, and other professional development activities. Skills and Qualifications Subject Expertise: Strong knowledge of Mathematics and the ability to teach complex topics effectively. Teaching Certification: B.Ed. degree is mandatory. Communication Skills: Excellent verbal and written communication skills. Technology Proficiency: Familiarity with digital teaching tools and techniques. Classroom Management: Ability to maintain a disciplined and interactive classroom environment. Key Attributes Passionate about teaching and inspiring young minds. Patient, approachable, and empathetic towards students. Innovative in teaching methods and adaptable to modern education trends. Strong organizational and time-management skills.

We're hiring PhD Math Experts for an AI Trainer role! Work on training AI models by solving, reviewing, and improving advanced math content. Strong subject knowledge and written skills required. Apply now to help shape the future of AI in education!

We are looking for an Operations Executive to manage and optimize digital ad campaigns, handle ad trafficking, and provide performance reports. The ideal candidate should have strong analytical skills and experience with ad-serving platforms.

Job Title S&C GN AI Managed service Data Operations Analyst Management Level:11 Analyst Location:Hyderabad Must have skills:Python, Pyspark, Databricks, AI/ML Good to have skills:cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models, Exposure to Retail, Banking, Healthcare projects. Job Summary : An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Bachelor's or Master's degree in any engineering stream or MCA. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Qualifications Experience:Minimum 2+ year(s) of experience is required Educational Qualification:B.Tech/BE or MCA

Job Title - Data Eng, Mgmt. & Governance - Analyst – S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary :As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"”from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field.- This position is based at our Hyderabad office. About Our Company | Accenture Qualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors’ or masters’ degree in any engineering stream or MCA.

About the Role: We are seeking highly skilled Mathematics professionals to create Chain of Thought (CoT) Q&As for complex mathematical problem-solving. The ideal candidates must have a deep understanding of mathematical concepts, logical reasoning, and structured problem-solving methodologies. Proficiency in LaTeX is essential. Key Responsibilities: Develop high-quality Chain of Thought Q&As across various mathematical domains. Ensure logical coherence and step-by-step reasoning in question and solution design. Utilize LaTeX for precise and well-formatted mathematical expressions. Collaborate with the team to ensure consistency and quality in problem formulation. Conduct thorough reviews to maintain accuracy and adherence to prescribed standards. Required Qualifications: Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Proficiency in LaTeX for mathematical typesetting and documentation. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning. Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Candidates should have 6 months to 2 years of experience in the relevant field. Interested candidates please share your CV to : aagarwal1@innodata.com

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