244 Modeling Jobs - Page 3

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging data to unravel complex business challenges through our cutting-edge Cognite Data Fusion (CDF) platform We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year In the realm of industrial digitalization, we stand at the forefront, reshaping the future of Oil & Gas, Manufacturing and Energy sectors Join us in this venture where data meets ingenuity, and together, we forge the path to a smarter, more connected industrial future, Learn More About Cognite Here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do We are result-oriented, always asking ourselves ?How do I add value to my team, to my company, and most importantly to our customers? Ownership : Cogniters embrace a culture of ownership We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success, Relentless : Cogniters are relentless in their pursuit of innovation We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth, About Global Customer Success In Global Customer Success, we build a quality company that helps our customers (and employees!) achieve their desired outcomes with Cognite We take ownership to ensure that value moves beyond a paper exercise, and is being realized in practice We have a relentless focus on innovation, ensuring we fully utilize our peoples' capabilities We strive for happy and thriving employees, working with engaged customers to expand their usage and impact, and bring back feedback to improve our products Within Global Customer Success, we emphasise developing repeatable and scalable offerings to maximize the outcomes of our investments as a company, The Data Engineering team is part of Cognite's Global Customer Success (GCS) organization, which has a global presence in Oslo (Norway), Austin & Houston (Texas, USA), Tokyo (Japan), and now Bengaluru, India, GCS comprises Project Managers, Data Scientists, Data Engineers, and Solution Architects specializing in Oil and Gas, Power & Utilities, and Manufacturing domains Our goal is to deliver successful, scalable projects that drive product adoption and unlock insights from hidden data, transforming heavy asset industries to be more efficient and sustainable, This role reports to the EMEA (Oslo) office and supports customer projects in MENA (Middle East and North Africa) and SEA (South East Asia) The Oslo team consists of around 80 Data Engineers, Data Scientists, Solution/Enterprise Architects, and Project Managers, while Bengaluru will soon have 7 resources within GCS, About The Role As a Data Engineer at Cognite, your focus will be on tackling industrial challenges by designing, developing, and implementing data infrastructure and pipelines You'll create robust data architectures that collect and connect data from diverse sources This role offers the opportunity to grow into a Tech Lead, guiding and mentoring a team of data engineers You'll collaborate with cross-functional teams to deliver data-driven solutions that empower clients to make impactful business decisions, Role And Responsibilities Lead design and implementation of scalable data engineering solutions using Cognite Data Fusion, Drive integrations, data modeling, and analysis using Cognite data connectors and SQL, Python/Java, and Rest APIs, Develop custom data models for discovery, mapping, and cleansing, Collaborate with data scientists, project managers, and solution architects to deliver projects, Conduct code reviews, implement best practices for high-quality, maintainable code, Support customers and partners with data engineering tasks using Cognite products, Work with Engineering and Product Management teams to prioritize customer needs into product offerings, We Believe Most Of These Should Match Your Experience Bachelor or Master degree in computer science or similar Relevant experience can compensate for formal education Experience of 3-5 years in a customer-facing Data intense role Experience delivering production-grade data pipelines using Python, SQL and Rest APIs is a must Domain experience/knowledge of data sources within oil and gas & manufacturing industry is a plus Experience with distributed computing such as Kubernetes and managed cloud services such as GCP and/or Azure Have a DevOps mindset, and experience with Git, CI/CD, deployment environments Enjoys working in cross-functional teams Able to independently investigate and solve problems Humility to ask for help and enjoy sharing knowledge with others Join the global Cognite Community! ???? Join an organization of 70 different nationalities ???? with Diversity, Equality and Inclusion (DEI) in focus ???? ITPL office location (Bengaluru) A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata ???? to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ????? to be part of the conversation directly with Cogniters and our partners, Hybrid work environment globally Why choose Cognite?????? Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! ??? Most recently Cognite Data FusionAchieved Industry First DNV Compliance for Digital Twins ??? Apply today! If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team Please do not hesitate to contact our Talent Acquisition team with any questions - We encourage you to follow us on Cognite LinkedIn ; we post all our openings there, Equal Opportunity Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion, We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way,

Hello Engineers, We are looking for Design Engineers to work onsite with a Global Heavy Engineering MNC, Epiroc Mining - Design Center of Atlas Copco at Bangalore. Requirements : Education : BE / B-Tech ( Mechanical / Automobile / Production ) Year Of Experience : 2 - 6 Years Working Experience on Creo Software Good knowledge of GD&T, Welding, Welding Symbol's. Good Understanding of Sheet-Metal. Good Communication skill.

Position location: Noida, Mumbai, Bangalore The Selected Candidate Will Be Responsible For Developing models and drawings, quantities take off/ Schedules Understanding client requirements and standards for developing models, details and drawings, Ensuring QC process is being followed, delivery to the right quality and timelines Standardizing workflows based on the project requirements and managing electronic information Coordination with BIM coordinators and Project Managers Promotes standardization of components and processes Candidate Specification ITI in respective Engineering discipline Diploma/Degree will be an added advantage, 5-8 years of experience in the field of Modelling and detailing, Experience in Energy/power projects would be an advantage Experience in other sector can be considered if the candidate has expertise in modelling and detailing of RCC and structural steel structures, Should be well conversant with 2D/3D modelling using AutoCAD and Revit Handson experience on MicroStation, CADWORX, CADS RC will be an added advantage, Should be technology focused and understand industry developments, Should be able to guide, troubleshoot and train team members to perform varied levels of development in BIM projects and drive outcomes Should be able to assist in Modelling and Extraction of deliverables Good communication skills and leadership skills A professional attitude towards work and self-motivated Be a team player and have multi-disciplinary co-ordination skill Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute, Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments We embrace agility, flexibility and trust, Location(s): Mumbai, MH, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 8858 Recruiter Contact: Tajinder Dhillon

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree, Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines, Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance, Experience in identifying opportunities for business/product improvement and defining the initiatives, Experience in developing new models, methods, analysis and approaches, About The Job Help serve Google's worldwide user base of more than a billion people Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions You will weave stories with meaningful insight from data You'll make critical recommendations for your fellow Googlers in Engineering and Product Management You relish tallying up the numbers one minute and communicating your findings to a team leader the next, Responsibilities Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences, Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team, Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information, Follow engineering best practice to create data pipelines and models, Develop and automate reports, build and prototype dashboards to provide insights for problem-solving needs, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form ,

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact, We are looking for an experienced Quantitative Analyst with at least 3 years of experience to apply mathematical models, statistical techniques, and machine learning algorithms to support business and investment strategies, Key Responsibilities: Develop quantitative models for risk management, pricing, and strategy optimization, Analyze large datasets to identify trends and make data-driven decisions, Collaborate with financial teams to provide insights into market behavior and asset allocation, Required Qualifications: 3+ years of experience as a Quantitative Analyst or in a related field, Strong background in statistics, mathematics, and financial modeling, Proficiency in programming languages like Python, R, or MATLAB for data analysis and modeling, Why Join Us Competitive pay (??1200/hour), Flexible hours, Remote opportunity, NOTE: Pay will vary by project and typically is up to Rs 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs 108K per month) once you clear our screening process, Shape the future of AI with Soul AI!

Hiring for Modeling Engineer with MNC Company at Bengaluru Experience:10+ Years Location:Hyderabad Perform Power System Stability (PSS) studies, load flow, short circuit, and transient stability analyses. Develop and validate dynamic models for generators, governor-turbine systems, AVRs, and other control systems. Conduct system impact studies, grid compliance assessments, and interconnection studies. Build and maintain detailed power system models using ETAP, Power Factory, PSCAD, and PSSE. Interpret and apply grid codes and standards (e.g., ENTSO-E, NERC, National Grid). Collaborate with cross-functional teams including electrical, controls, and system engineers. Prepare technical reports, documentation, and presentations for internal, customer and compliances. Support project delivery from feasibility through to commissioning. Required Qualifications: Proven experience (typically 10+ years) in power system modelling and simulation. Proficiency in DIgSILENT PowerFactory, PSCAD, ETAP and PSSE. Strong understanding of power system dynamics, control systems, and grid integration. Experience with governor, turbine, AVR, and generator model development. Familiarity with scripting or automation in Python, MATLAB, or similar tools is a plus. Please drop your CV to sindhura@delighthr.com

We are seeking a skilled IT Business Analyst to join our dynamic team and help us bridge the gap between business needs and technology solutions and the design of business applications that meet our business objectives. This role requires strong technical expertise, business acumen, and project management skills to ensure that our business applications align with company objectives and drive efficiency. The ideal candidate will work cross-functionally with IT, operations, finance, and other departments to enhance application performance and user experience Key Responsibilities Lead the requirements gathering process, working closely with stakeholders to understand their needs. Analyze and document business processes, workflows, and systems. Develop detailed technical specifications and collaborate with IT teams to design solutions. Facilitate workshops and meetings to gather requirements and provide updates to stakeholders. Manage project timelines, scope, and deliverables to ensure successful project completion. Prepare presentations to report progress on the projects Conduct testing and validation to ensure solutions meet business requirements and quality standards. Provide training and support to end-users and stakeholders. Create and maintain comprehensive documentation, including requirements, specifications, and user manuals. Identify opportunities for process improvement and recommend innovative solutions. Ensure compliance with regulatory requirements and industry standards. Stay informed about industry tren ds, be st practices, and emerging technologies Key Competencies Bachelors/Masters degree in Business Administration, Information Technology, or related field. 5+ years of experience as an IT Business Analyst or similar role. Proven track record of leading Ability to lead complex IT projects and delivering successful solutions. Strong analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills. Ability to work collaboratively with diverse teams and adapt to changing business needs. Proficiency in business process modeling and analysis tools. Experience with project management methodologies and tools. Knowledge of software development lifecycle (SDLC) and agile methodologies, Certification in Business Analysis (e.g., CBAP, PMI-PBA) is a plus.

The FICC Quant Developer should possess a robust understanding of Fixed Income, particularly in pricing calculations. The ideal candidate should be proficient in Python or other relevant programming languages and have experience in developing fixed income pricing models or calculations engines. Key Responsibilities Developing Fixed Income pricing/valuation and analytics models using statistical techniques Interacting with the trading and client senior technology team to analyze and understand their requirements Back testing models Working on implementing models on client calculation platforms; understanding of data quality nuances and ability to design rules around it Handle ad hoc requests for data analysis or building peripheral models. Experience Postgraduate in Economics/Financial Engineering/Maths/Physics, at least 8+ years of work exp. Proficient in econometrics, with prior experience in quantitative modeling specifically in Fixed Income Good understanding of Fixed income as an asset class, pricing and valuation and other analytics Coding skills: Python/C#/C++ etc. (advanced level) Having a good knowledge of databases preferably third-party providers like Bloomberg Advanced Excel/VBA and quantitative skills: Ability to work with and analyse large set of data and information. Excellent communication and interpersonal skills High level of independent thinking and approach Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures. Desired Skills and Experience Essential skills B.Tech/ M.Tech/ MCA with 2-4 years of overall experience. Skilled in Python and SQL. Experience with data modeling, data warehousing, and building data pipelines. Experience working with FTP, API, S3 and other distribution channels to source data. Experience working with financial and/or alternative data products. Experience working with cloud native tools for data processing and distribution. Experience with Snowflake and Airflow. Key Responsibilities Engage with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets. Collaborate with core engineering team to create central capabilities to process, manage and distribute data assts at scale. Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets. Engage with technical and non-technical clients as SME on data asset offerings. Key Metrics Python, SQL. Snowflake Data Engineering and pipelines Behavioral Competencies Good communication (verbal and written) Experience in managing client stakeholders

To provide investment banking research and analytics support to IB/Advisory firm. Work on deal origination and execution work streams including financial modelling/valuation analysis Key Rsponsibilities Supportingour clients on multiple projects oninvestment banking mandates Preparingpitch books, industry reports, deals and peers screening, company profiles, macroeconomicupdates and company focused discussion documents related to various industries. Preparingfinancial analysis including trading/ transaction comparable, operational/financial benchmarking, valuation analysis, financial modeling etc. Operational/financial benchmarking, valuation, public market information and performanceratio analysis PortfolioManagement: Ability to manage and optimize portfolios of limited partnershipinterests, ensuring diversification and risk management. Assist in Portfoliomanagement, quarterly and annual portfolio reporting. MarketInsight: Deep knowledge of the private equitymarket, including trends, regulatory changes, and the competitive landscape.Market and industry research on both a primary and secondary research basis. ValuationExpertise : Proficiency in valuing privateequity fund interests and understanding the intricacies of different valuationmethods. Run financial models for underlying companies (asset operatingmodels, LBO) and fund level returns. DueDiligence: Expertise in conducting thorough duediligence to assess the quality and potential of fund interests beingtraded. Manage interactions with buyers and respond to due diligenceinquiries and contribute to client relationship management and deal originationinitiatives. Quantitative and qualitative due diligence on leveraged buyout,venture capital and other private equity limited partnership interests andtheir underlying company investments. AnalyticalSkills : Participate in evaluation andanalysis of secondary transactions and assets across stages (i.e. buyout,venture, growth equity, etc.), industries and geographies. Ability to analysecomplex financial data and market conditions to make informedinvestment decisions. Construct an opinion around various investmentopportunities and efficiently communicate it both verbally and in writtenmaterials. Required Background Post-Graduation in Finance or equiv. qualification (CFA, MBA (finance), CA or equiv.) 4+ years of experience in the Investment banking space Excellent written and spoken communication skills with experience in client relationship management Should be able to work independently with minimal guidance as the job requires working with senior leadership team at the clients end Should be well versed with MS Office suite specially Microsoft Excel and Power Point (extensive use of excel models and powerpoint)

Acuityis currently looking for dedicated and motivated individuals who have strong exposureto Insurance Financial Industry Group, for its Investment Banking teambased in Gurgaon. Key Responsibilities Supporting our investment banking clients on insurance industryanalysis which includes providing research-based outputs on insurance players,KPIs and market landscape Preparing insurance company profiles, pitch books, detailedfinancial analysis, industry reports, company focused discussion documents Preparing financial analysis including trading / transactioncomparable, operational / financial benchmarking, etc. Meet project timelines and quality of deliverables in a manner toensure high client satisfaction Conducting quality control check of the outgoing reports / packs Other activities include structuring deliverables / teams developing new capabilities / new research products Demonstratestrength and experience in client / requester relationship building andmanagement, information / knowledge needs assessment Required Background Education: Post-Graduationin Finance or equiv. qualification (CFA, MBA (finance), CA or equiv.) Experience: Minimum 4-6years of experience in the Investment banking space, with focus on insurance companyanalysis Skills: In-deptunderstanding of US / Europe-based insurance companies landscape, reporting,KPIs, financial analysis. Should be well versed with MS Office suite speciallyMicrosoft Excel, Word and Power Point Knowledge: Workingknowledge of database such as Capital IQ Pro / Capital IQ, Bloomberg, Factset,Thomson, etc. Leading and delivering projects, including: o Company profiles andpitch book support o Macro-economic and industry overviews with experienceworking across various industries o Target identification, Trading andTransaction comps o Benchmarking, Ratio analysis o Financial modeling Excellentwritten and spoken communication skills with experience in Client handling

As a Data Scientist, you will develop and implement data-driven solutions to drive business outcomes at Kraft Heinz You will work with your team and manager on advanced analytics and DS modelling projects from inception to production, collaborating with stakeholders to deliver high-impact results, Responsibilities Develop, test, and deploy predictive models using machine learning and statistical techniques Collaborate with stakeholders to identify opportunities and design solutions Explore and analyze large datasets to inform business decisions Engineer new features and test various modeling approaches to develop industry-leading analytics products Contribute to the development of our data science capabilities and best practices Requirements Bachelors degree in Data Science, Computer Science, Engineering, or Statistics 3+ years of applied experience in data science or related field Expertise in Python and/or R, and eager to learn other languages Fluency in SQL Strong understanding of machine learning, data wrangling, and exploratory analysis Ability to work collaboratively with stakeholders to deliver high-impact results Excellent communication and problem-solving skills Preferred Qualifications Experience with Big Data technologies such as Snowflake and Spark Experience with cloud-based technologies such as Azure Familiarity with Agile development methodologies Experience working in a cross-functional team environment Expertise with the following modeling methods Design of Experiments, ANOVA, multivariate regression, discrete and continuous optimization, survival analysis, discrete event simulation

Model brands apparel in fashion shows, runway events, and promotional activities. Pose for photoshoots featured in advertising campaigns, catalogs, and on social media. Follow the creative direction of photographers, designers, and event organizers to achieve the desired look and feel. Maintain a professional and polished appearance at all times, ensuring the brand's standards are met. Collaborate with makeup artists, hairstylists, and fashion stylists to ensure a cohesive and appealing presentation. Represent (Cant share the brand now) in a positive and engaging manner to enhance brand image and customer engagement. Attend fittings, rehearsals, and promotional events as required. Adapt to different styles, themes, and concepts as per the requirements of each project. Requirements Previous modeling experience is preferred but not required; we welcome new talent with a passion for fashion. A strong portfolio showcasing versatility and range in modeling. Excellent physical condition and the ability to maintain a professional appearance. Confidence, poise, and the ability to walk and pose gracefully in various types of clothing. Strong communication skills and the ability to take direction well. Availability to work flexible hours, including evenings and weekends. Punctuality, reliability, and a strong work ethic.

Physical Walk-in Interview - Creo Design Engineer Role : Creo Design Engineer Experience : 5 to 6 years Job Location :Bangalore Qualification : BE Skills : Creo Software , Modelling , Drafting , Solidworks ( added advantage ) Interview Venue: Venue 1: BHIVE Workspace (Harita Techserv Pvt Ltd),No.112, AKR Tech Park, "B" Block, 7th Mile Hosur Road,Krishna Reddy Industrial Area, Bengaluru, Karnataka 560068 Contract Person: Kavitha & Deepa Venue 2: Harita Techserv Pvt Ltd ,9th Floor, No. 117, Arihant E Park, 1, Lattice Brg Rd, Baktavatsalm Nagar, Adyar, Chennai, Tamil Nadu 600020 Landmark: Next to Greater Chennai Corporation Contact Person: Sathish & Yamuna If Interested, Please Drop your Profile to deepatharini@harita.co.in

APEX BUILDSYS LIMITED is looking for Tekla Modeler to join our dynamic team and embark on a rewarding career journey Create D structural models using Tekla software tools Collaborate with engineers to develop steel detailing and drawings Ensure accuracy in dimensions, materials, and connections Update models based on revisions and design inputs

APEX BUILDSYS LIMITED is looking for Assistant Manager-Tekla Detailer to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed Optimizing profits by controlling costs Hiring, training and developing new employees Resolving customer issues to their overall satisfaction Maintaining an overall management style that follows company best practices Providing leadership and direction to all employees Ensuring product quality and availability Preparing and presenting employee reviews Working closely with the store manager to lead staff Overseeing retail inventory Assisting customers whenever necessary Organizing employee schedule Ensuring that health, safety, and security rules are followed Ensuring a consistent standard of customer service Motivating employees and ensuring a focus on the mission Maintaining merchandise and a visual plan Maintaining stores to standards, including stocking and cleaning Completing tasks assigned by the general manager accurately and efficiently Supporting store manager as needed

APEX BUILDSYS LIMITED is looking for Deputy Manager - Tekla Modeler to join our dynamic team and embark on a rewarding career journey Assist the Manager in the day-to-day operations of the business, including setting goals, developing strategies, and overseeing the work of team members Take on leadership responsibilities as needed, including managing team members and making decisions in the absence of the Manager Identify and address problems or challenges within the business, and develop and implement solutions Collaborate with other departments and teams to ensure smooth and efficient operations Maintain accurate records and documentation Contribute to the development and implementation of business plans and goals

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1. EXPERT ANSA CFD modeling experience IS MANDATORY. 2.Experience in Full Vehicle Thermal System Model build. 3.Knowledge of various rubber and plastic parts and their modeling strategy forthermally sensitive regions. 4.Knowledge of Part Structure Management in ANSA. 5.Full Vehicle Intergration with all model build checks. 6.Knowledge of all subsystems and their functioning. 7.Very good communication skills and interpersonal skills are MANDATORY 8.Effectively communicate the progress, issues to the team daily. 9.Good Attitude with very good team spirit is MUST. Domain knowledge: Should Possess good CFD knowledge. \u200b Ableto understand the project requirements .

General Summary: Provide financial analysis, modeling and research in support of potential real estate investment opportunities including acquisitions, dispositions and structured finance investments, as well as assist in the preparation of presentations to Investment Committee. Key Duties and Responsibilities: Create dynamic underwriting models in Excel with detailed property level cash flows in support of potential investment decisions; Prepare industry related research and analysis; Assist in preparation of memorandums and presentations to the Executive team; Work with various departments including legal, accounting, leasing, and property management to aggregate, interpret, and share information used to communicate both externally and internally for potential investments; Provide other support to the Investments team as needed. Job Specifications: BA/BS in finance, economics, accounting or related field, with up to six years of commercial real estate, corporate finance, or investment banking experience. Experience with Argus a must. Strong experience modeling real estate transactions with an in depth understanding of real estate fundamentals. Ability to understand and analyze financial statements (GAAP), leases, and related documents for purposes of forecasting, underwriting, and analyzing tenant credit quality. Organized and task oriented, able to work in a fast-paced, team-oriented environment with multiple deadlines, and adapt readily to changing priorities. Ability to convey technical information orally and in written correspondence, reports and presentations in a clear and concise manner. Highly skilled in Microsoft Excel and PowerPoint.

SUMMARY Job Opening: About the Client: Our client is a leading global Fortune 500 IT solutions company that specializes in providing straightforward and scalable solutions to solve intricate business challenges. With a team of over 1,500 professionals, they offer technical and domain expertise across various platforms and industries to assist enterprise companies in enhancing productivity, efficiency, and optimizing their technology investments. Designation: BI Analyst - Team Leader/ Team Manager Experience: 7-15 Yrs Location: Hyderabad Skills required: Attention to detail Problem Understanding Hands-On with Strong SQL Min 2yrs experience working with Large volume data set Good experience in working with End to End Data analytics project, from Data modelling, Data extraction to building the insights Strong Stats + Strong understanding of visualizations w.r.t. business use case. Create technical documentation, versioning, testing, change control, configuration solutions Experience in BI and dashboard Development areas is needed. Knowledge or working experience with machine learning models would be added advantage. Notice period: Immediate - 30 days

Job Title: Anaplan Implementation Developer Location: PAN INDIA Experience: 3+ years in Anaplan implementation Job Type: Full-time Work Mode: Hybrid Job Summary: We are looking for an experienced Anaplan Implementation Developer who will be responsible for designing, building, and deploying Anaplan models that support business planning and forecasting functions across the organization. The ideal candidate should have hands-on experience with end-to-end Anaplan implementations and strong skills in model building, data integration, and stakeholder communication. Anaplan Model Builder with Implementation experience. L1,L2 L3 certifications is good to have Key Responsibilities: Collaborate with business stakeholders to gather and analyze planning requirements. Design Anaplan models that align with business goals and translate use cases into functional models. Build and maintain Anaplan models using best practices in model structure, performance optimization, and modularity. Develop user interfaces including dashboards, modules, and reports. Integrate Anaplan with external data sources (via Anaplan Connect, APIs, or middleware tools like Informatica, MuleSoft, etc.). Provide technical guidance to users and support ongoing Anaplan enhancements. Conduct unit and system testing; assist with user acceptance testing. Ensure model security, performance tuning, and version control are in place. Train end-users and provide documentation. Required Skills & Experience: Minimum 3 years of experience in Anaplan model building and implementation. Certified Anaplan Model Builder (Solution Architect certification is a plus). Strong understanding of Connected Planning concepts. Proficient in Anaplan formulas, modules, dashboards, and UX. Experience in integrating Anaplan with upstream/downstream systems. Solid understanding of data modeling, data transformation, and automation. Ability to work in Agile environments and collaborate with cross-functional teams. Excellent communication and problem-solving skills. Preferred Qualifications: Prior experience in Finance, Supply Chain, or Sales Planning projects using Anaplan. Knowledge of Anaplan ALM (Application Lifecycle Management). Familiarity with SQL, Excel VBA, or scripting tools.

Role/Designation: Data Scientist Location: Gurgaon Level/ Band: Band C (Manager/ Sr. Manager) Brief about the role/ team/ candidate requirement: We are looking for a motivated and highly skilled Data Scientist to join our Flight Safety team. This role will be pivotal in using advanced data analytics and machine learning techniques to enhance flight safety decisions and processes. The candidate will work with time-series, multi-variate data to detect anomalies, identify patterns, and build predictive models that support safety management. The ideal candidate should have a strong foundation in data science, machine learning, and deep learning techniques, along with expertise in applying these skills in the aviation safety domain. The candidate will play a key role in developing algorithms, performing exploratory data analysis, and utilizing artificial intelligence tools to forecast potential safety risks, providing valuable insights for strategic safety decisions. Qualification & Experience: Educational Requirements: Engineering graduate with a specialization in Data Science or a related field. Completion of a Data Scientist course or equivalent certification. Experience: A minimum of 6 years of hands-on experience working directly with data, particularly in the context of data science and machine learning. Skill set: Data analysis Anomaly detection Machine learning Big data analytics Programming skills Job responsibilities: Data analysis expertise: Ability to conduct exploratory data analysis to uncover patterns, trends, and insights from complex datasets. Anomaly detection: Expertise in anomaly detection techniques for time-series, multi-variate data, with a focus on identifying outliers and irregular behavior. Machine learning and deep learning: Strong understanding of data science methodologies, machine learning algorithms, and deep learning architectures such as Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Convolutional Neural Networks (CNN). Big data analytics: Proficient in utilizing AI and machine learning techniques for big data analytics, with the goal of predicting and mitigating potential safety risks. Programming skills: Expertise in Python and MATLAB for data manipulation, modeling, and algorithm development. Algorithm development: Strong ability to formulate custom algorithms tailored to specific requirements, ensuring accurate results in the context of flight safety and operational excellence. Data collection: Proficiency in gathering and preprocessing data from various sources to ensure high-quality datasets for analysis and modeling.

Key Responsibilities: Perform high-quality mesh generation for structural analysis using Hypermesh and Patran . Develop and refine GFEM and DFEM models for various components and assemblies, ensuring mesh quality and compliance with CAE standards. Prepare models for static, dynamic, and thermal FEA simulations. Interpret and apply engineering drawings and CAD data to build accurate finite element models. Ensure mesh quality and convergence to meet analysis requirements. Ensure adherence to customer-specific FEM guidelines and industry best practices. Collaborate closely with design, simulation, and test teams to validate and iterate FE models. Document meshing processes, model assumptions, and preprocessing methodologies. Troubleshoot and resolve issues related to meshing and model setup. Familiarity with optimization techniques for FE modeling. Required Skills & Qualifications: Bachelor's or Master's degree in Mechanical, Aerospace, or related engineering field. 3 to 7 years of relevant CAE experience , with a focus on meshing and preprocessing. Strong command of Hypermesh and Patran for shell and solid meshing. Hands-on experience in GFEM and DFEM meshing techniques and standards. Solid understanding of FEA fundamentals, material properties, and boundary conditions. Familiarity with CAD software (e.g., CATIA, NX) for model extraction and cleanup. Excellent problem-solving and communication skills. Ability to manage multiple tasks and meet tight deadlines. Proactive attitude towards continuous improvement and learning. Preferred: Exposure to solver environments like OPTISTRUCT , NASTRAN , ABAQUS for FE model set-up Experience with scripting or automation (e.g., TCL, Python) in preprocessing. Knowledge of aerospace or automotive domain-specific CAE workflows.

TCS C2H POSITION ANAPLAN MODULER PAN INDIA ANY LOCATION. EXPERIANCE-4-20 YEARS SKILLS: Anaplan Certified Model Builder Anaplanmodel building experience is must and having exposure to other EPM technology for e.g., SAP BPC, SAP SAC, Oracle Hyperion, Microsoft Dynamics etc. will be an added advantage. Understanding of the forecasting process and various business functions (Sales, operations, Finance, etc.) Good understanding of Planning Budgeting & Forecasting is must Ability to collaborate effectively and work as part of a team Strong attention to detail Critical thinking and Analytical problem-solving skills Project management certifications, agile certifications will be an added advantage PLEASE SHARE ME CVS EMERGENCY REQUIEMENT BHAVANI@COVENTINE.COM 7995348267 WHATPP NUMBER AND CALL ME Divya@coventine.com