Apply now » .buttontext88d8dcea45dcd44d a{ border1px solid transparent; } .buttontext88d8dcea45dcd44d a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } R&D/PRODUCT DVL ENGINEER II At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity’s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. PCB engineer is scalable to contribute individually. He/she is responsible for delivering the project from schematic scratch till the board get fabricated. Stackup analysis, routing strategy, placement feasibility is more important. R&D engineer should familiarize in manufacturing process and the different soldering process, IPC standards for SMT & PTH library footprint creation. Responsible for all the documentation related to the board design and fabrication data. Typical fields of expertise include Analysing different dielectric materials, knowledge on high-speed design constraint, electrical, software, automation systems, data packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. Responsibilities: TE Connectivity is seeking an experienced candidate for high speed printed circuit board design. The candidate is expected to interface with US and China based engineering teams for input and independently work on printed circuit board layout while also providing guidance and direction to local designers. The position requires that the candidate be able to utilize generalized engineering direction to create detailed custom designs. The candidate will be responsible for ensuring the accuracy and functionality of the end design and be able to take ownership of various aspects of the PCB design. Programs may additionally include pre-layout analysis and coordination of global vendors for prototype fabrication and assembly. Candidate Desired Profile Candidate should have excellent verbal communication skills, a high attention to detail, be highly motivated, a quick learner, and be able to work independently. Understanding of printed circuit board design, manufacturing, and assembly is required. Experience with printed circuit board design is required. Experience in a senior technical or leadership role is required. Must be able to deliver the board design from scratch schematic to gerber release for manufacturing. Very good exposure in design software - Altium, Allegro, AutoCAD is must. Previous work experience in high-speed board designs will be highly preferred. Altium/Allegro tool scripting knowledge will be an added advantage for this role. Able to address supplier Engineering Queries. Familiarity with the following a plus: CAM350 High speed and/or RF circuits Signal integrity analysis Connectors and cable assemblies PCB manufacturing tolerances and cost drivers PDMLink process ECR/ECN release process Competency ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events Employee Resource Group IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site. .videocomponent8ae3a91ad732ccb9 a{ border1px solid transparent; } .videocomponent8ae3a91ad732ccb9 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } .buttontext13c01d781def3077 a{ border1px solid transparent; } .buttontext13c01d781def3077 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Location: Bangalore, KA, IN, 560066 #job-location.job-location-inline {displayinline;} City: Bangalore State: KA Country/Region: IN Travel: Less than 10% Requisition ID: 131824 Alternative Locations: Function: Engineering & Technology Job Segment R&D Engineer, Manufacturing Engineer, Testing, Engineer, Electrical, Engineering, Technology Apply now »

Apply now » .buttontext88d8dcea45dcd44d a{ border1px solid transparent; } .buttontext88d8dcea45dcd44d a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } SR R&D/PRODUCT DVL ENGINEER At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview The Sr. R&D/Product Development Engineer will be responsible for Design & Development of RF circuits/modules for RFoF (Radio Frequency Over Fiber) products for Aerospace, Defense & Marine Market requirements. The Sr Engineer will work closely with global and local cross functional teams to develop products by translating a customer requirements into a product requirement, work through the development cycle including testing, approval and release into Production. Responsibilities Design and analysis of RF and/or Mixed Signal hardware, define RF link architecture Conduct detailed electrical design, supporting prototype and final hardware build & test Carry out component selection, schematic capture and PCB layout of parts Lead RF hardware projects from design to test to delivery through proper design methodology. Ensure on time delivery and first time right approach in all the project deliverables. Work with local and global counterpart / stake holder for ensuring quality deliverable and project execution. Interface with system, mechanical, software, and other engineers for ensuring design and task completion Work closely with third party vendor / supplier to define the technical requirements for the product and project execution. Mentor the new team members on design and development of RF product design Required Skills Education/ Knowledge: BE/BTech with specialization in Electronics & Communications Engineering Min 10 years of experience in RF Microwave board design and development Critical experience: Experience with RF Microwave design for aerospace & defense applications Handson with LNA and RF PA design and functional testing RF link loss analysis for transceivers and RADAR applications Experience with ADS or Microwave Office, Cadence, Sonnet and HFSS software applications Familiarity with standard test equipment such as oscilloscopes, power meters, logic analyzers, signal/spectrum analyzers, etc. Familiarity with EMI/EMC requirements, qualification processes and electronics documentation Knowledge of RF module applications such as RADAR, Satcom, C5ISER, EW Familiarity with optical transceivers will be an added advantage COMPETENCIES Technical capabilitiesExpert functional/domain knowledge Strong Technical Aptitude with Willingness to learn new Technologies quickly. Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork .videocomponent8ae3a91ad732ccb9 a{ border1px solid transparent; } .videocomponent8ae3a91ad732ccb9 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } .buttontext13c01d781def3077 a{ border1px solid transparent; } .buttontext13c01d781def3077 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Location: Bangalore, KA, IN, 560066 #job-location.job-location-inline {displayinline;} City: Bangalore State: KA Country/Region: IN Travel: Less than 10% Requisition ID: 134427 Alternative Locations: Function: Engineering & Technology Job Segment Testing, Aerospace Engineering, R&D Engineer, Electronics Engineer, Electrical, Technology, Engineering Apply now »

Apply now » .buttontext88d8dcea45dcd44d a{ border1px solid transparent; } .buttontext88d8dcea45dcd44d a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } SR R&D/PRODUCT DVL ENGINEER At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity’s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise includematerials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. Responsibilities Work within a global multidisciplinary team environment as Product Engineering lead to design and develop functionally robust and cost-effective Connector products / processes to meet customer and market needs Deliver regional and global NPD projects which includes activities like Concept generation, Concept validation, tolerance stack analysis, DFMEA, conduct design reviews, basic FEA simulation, Creation of detailed designs and drawings in CREO by applying DFM/DFA principles, creation of product validation / Qualification test plans, perform component fit and function analysis. Execute Sustaining activities of legacy products like Customer queries, field failures, address design related manufacturing concerns, BOM & change management in windchill, product improvements, necessary product design documentation/specification updates. Should be able to interact with global stakeholder (Product management/Sales etc.) and directly with Customers and communicate technical details efficiently. Should evaluate & handle Agency (UL, CSA and VDE) approval requirements for the products Identify VAVE opportunities and work with plant and other stake holders to implement them. Collaborate on continuous improvement initiatives using TEOA / Digital methodologies. Showcase ‘Go-getter’ and ‘Innovation’ mindset while executing the project deliverables. Ability to work as technical mentor and coach to local team and wider Global engineering community Required Skills Knowledge, Skills, Abilities Expert in design and development of Sheetmetal and Plastic products Deep knowledge of associated manufacturing processes (moulding, stamping, plating and Assy) Knowledge of materials, finishes and contact physics related to interconnection design Knowledge of wire termination techniques (crimping, soldering, welding etc.) Experience of testing requirements and techniques for product qualification Knowledge of Voice of Customer, Design to Value, Design for Six Sigma. General knowledge of industry specifications such as UL, CSA, IEC, and EIA are desirable Hands on experience of simulation (Ansys or similar) and prototyping for product verification Excellent verbal and written communications skills, ability to communicate Globally at all levels internally and externally Must be self-motivated, highly organized, detail oriented and able to manage projects with minimal supervision. This includes multiple projects and multi task situations, with the ability to prioritize, set and achieve goals Education, Technical Qualification Bachelor’s degree in Mechanical Engineering/Design Min. 9+ years components design related experience Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork .videocomponent8ae3a91ad732ccb9 a{ border1px solid transparent; } .videocomponent8ae3a91ad732ccb9 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } .buttontext13c01d781def3077 a{ border1px solid transparent; } .buttontext13c01d781def3077 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Location: Bangalore, KA, IN, 560066 #job-location.job-location-inline {displayinline;} City: Bangalore State: KA Country/Region: IN Travel: Less than 10% Requisition ID: 133566 Alternative Locations: Function: Engineering & Technology Job Segment Testing, R&D Engineer, Manufacturing Engineer, Six Sigma, Drafting, Technology, Engineering, Management Apply now »

Apply now » .buttontext88d8dcea45dcd44d a{ border1px solid transparent; } .buttontext88d8dcea45dcd44d a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } SR R&D/PRODUCT DVL ENGINEER At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity’s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise includematerials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. What your background should look like: Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork .videocomponent8ae3a91ad732ccb9 a{ border1px solid transparent; } .videocomponent8ae3a91ad732ccb9 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } .buttontext13c01d781def3077 a{ border1px solid transparent; } .buttontext13c01d781def3077 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Location: Bangalore, KA, IN, 560066 #job-location.job-location-inline {displayinline;} City: Bangalore State: KA Country/Region: IN Travel: 10% to 25% Requisition ID: 126374 Alternative Locations: Function: Engineering & Technology Job Segment Drafting, R&D Engineer, Testing, Manufacturing Engineer, Electrical, Engineering, Technology Apply now »

Apply now » .buttontext88d8dcea45dcd44d a{ border1px solid transparent; } .buttontext88d8dcea45dcd44d a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } R&D/PRODUCT DVL ENGINEER II At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity’s R&D/Product Development Engineering Teams conceive original ideas for new products, introduce them into practice. They are responsible for product development, and qualification from market definition through production and release; assist in the qualification of suppliers for new products to ensure suppliers deliver quality parts, materials, and services for new or improved manufacturing processes; conduct feasibility studies, testing on new and modified designs; direct and support detailed design, testing, prototype fabrication and manufacturing ramp. The R&D/Product Development Engineering Teams provide all required product documentation including, but not limited to, Solid Model, 2D/3D production drawings, product specifications, and testing requirements. They create and modify detailed drawings and drafting or conceptual models from layouts, rough sketches or notes and contribute to design modifications to facilitate manufacturing operation or quality of product. Typical fields of expertise includematerials, mechanics and systems, electrical, optics, chemistry, software, automation systems, packaging, testing and measurement, and manufacturing of electrical, mechanical and electronic components, products, and their integration into systems. Responsibilities Strong ability to work on – Pro-E / Creo, Windchill, PLM/PDM. To handle customer complaints with respect to design issues Good working knowledge on GD&T & Tolerance Stack up analysis. Perform Value Engineering (VA/VE) analysis. Exposure to VAVE projects with idea generation, cost saving calculations, validations, approval, and implementation. Understand / Create Test Specification for DV/PV testing for products. Exposure to DVP&R preparation, signoff from Customers and product testing. Knowledge on Product / Component Designing. Knowledge on designing the product with all aspect from concept to design, release for production & sustenance engineering. Understanding on technical requirements & specifications for the products. Hands on experience in generating multiple design concepts and feasibility check. Ability to create/modify, check and release product designs and drawings (3D & 2D). Experience on creation of engineering BOM. Exposure to DFMEA, FEA analysis, prototyping, validation. Knowledge on Plastic Injection Molding process, insert molding, molding defects. Knowledge on Sheet Metal stamping processes. Knowledge on Tool Design aspects such as Under cuts etc. Knowledge on Product aspects like parting line, drafts, thickness etc. Exposure to APQP & PPAP documents and activities. Exposure to system Audits such a IATF / TS 16949 requirements for automotive industry. Ability to drive and implement 4M change. Ability to drive ECR/ECN/PCN with all CFT members and customers for flawless implementation for all changes. Ability to work along with multiple functions such as sales, marketing, tool design, production, manufacturing, sourcing, quality, test lab etc. and Education and Knowledge BE/ B.Tech / Diploma (Mechanical Engineering) Critical Experience 1 to 3 years of experience in product designing. Experience and knowledge on plastic product design, plastic materials and injection molding/manufacturing process. Hands on experience in 3D CAD modelling skills (Pro-E / Creo) and 2D drawing drafting skills. Problem solving skills for any product design related issues, complaints & non-conformity with proper design improvement and solution. Competencies ValuesIntegrity, Accountability, Inclusion, Innovation, Teamwork ABOUT TE CONNECTIVITY TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries. TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events Employee Resource Group Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site. .videocomponent8ae3a91ad732ccb9 a{ border1px solid transparent; } .videocomponent8ae3a91ad732ccb9 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } .buttontext13c01d781def3077 a{ border1px solid transparent; } .buttontext13c01d781def3077 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Location: PUNE, KA, IN, 412207 #job-location.job-location-inline {displayinline;} City: PUNE State: KA Country/Region: IN Travel: 10% to 25% Requisition ID: 132054 Alternative Locations: Function: Engineering & Technology Job Segment Testing, R&D Engineer, Manufacturing Engineer, Drafting, Mechanical Engineer, Technology, Engineering Apply now »

Introduction: We are looking for an experienced professional to lead patient analytics projects, working closely with pharmaceutical clients to deliver robust analytical solutions. The ideal candidate should have strong technical expertise, hands-on experience with patient-level data, and the ability to engage directly with clients while guiding a team. Key Responsibilities: Act as a subject matter expert to determine scientific and methodological aspects of RWE projects. Independently draft and edit high quality research proposals and statistical analysis plans. Guide team members with components of RWE analysis, such as, cohort creation, target/control creation, comorbidity analysis, adverse reactions, line of therapy, cost analysis, provider and payer analysis, KOL segmentation and targeting etc., based on clinical knowledge of disease area. Develop and apply data mining, statistical, machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets. Develop software solutions and applications using SQL, Python, and/or R. Responsible for review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs. Support the development of visualizations and presentations for client deliverables. Interface with EVERSANA analysts, data scientists, clinicians, program managers and with EVERSANA customers. Responsible for the development and delivery of projects within defined timelines. Respond to additional ad-hoc analysis requests. All other duties as assigned

As an R&D Engineer, this role will involve designing and developing software solutions based on DevOps principles, ensuring efficiency and scalability. The position will include building responsive web applications using JavaScript (React), HTML, and CSS, managing databases like SQL and Redis, and developing backend services in Go and Python. Additionally, responsibilities will include managing infrastructure with Docker, Kubernetes, and Cassandra, implementing cloud-native telecom applications, automating CI/CD pipelines with Jenkins, and configuring Apache Flink for real-time data streaming and processing. You have: Minimum 4+ Experience in S/W Design and Development ( DevOps) Programming skillsJavaScript (React Framework would be better), HTML, CSS Database knowledgeSQL, Radis Database, Some skills for handling synchronization among multiple databases. Strong Programming skills(Go, Python). Infra skills (Docker, Kubernetes, Cassandra). Experience in Cloud technologies and telecom environment. Experience in Continuous Integration. It would be nice if you also had: Some knowledge and experience with working on Linux platforms, Docker, and Kubernetesis required. Testing, deployment, and production line knowledge (Jenkins tool knowledge), CI/CD Pipeline. Knowledge of configuring Apache Flinch for continuous streaming and processing of the data pipeline. Design and develop software solutions with a focus on DevOps principles, ensuring high efficiency and scalability. Build and maintain web applications using JavaScript (React), HTML, and CSS, ensuring a responsive and user-friendly experience. Work with databases like SQL and Redis, ensuring proper synchronization across multiple data sources. Develop backend services and systems using Go and Python, optimizing for performance and scalability. Manage infrastructure using Docker, Kubernetes, and Cassandra, ensuring containerization, orchestration, and data management. Implement cloud-native applications within a telecom environment, optimizing for availability, performance, and scalability. Establish and maintain CI/CD pipelines using Jenkins, automating the testing, deployment, and production processes. Configure and manage Apache Flink for continuous data streaming and real-time data pipeline processing.

We are part of the Product & Engineering, Subscriber Signaling and Policy - Registers team. We are focused on building our understanding in Subscriber Data Management, protocols, latest cloud & SW technologies, and awareness of product aspects like performance/footprint, ease of use, robustness, security and the like. We are pragmatic in our approach & we believe that technologies should, at the end sub serve the cause of building great products. We try our best to look ahead and uncover opportunities. You have: 15 Years of hands on development experience on Advanced C++ programming, design patternsand Linux Knowledge in Analysis, Design, Development, module testing, unit testing & functional testing and familiar with debugging and memory profiling tools Experience in - Cloud Infrastructure (Openstack/VMware), & cloud native technologies Docker & Kubernetes It would be nice if you also had: Know-how of TCP/UDP/IP, TLS & socket programming & expertise in http2 protocol 2G/3G/4G/5G Core Network knowledge is desired, preferable to have knowhow about HLR, HSS, UDM, EIR & exposure to 3GPP standards. Realization (Analysis, Development, Implementation) of Registers features, customer issues resolutions, enhancements, change requests with Analysis, designing frameworks, Scripting, Verification & leading team. Technical consultation on development & testing activities of Registers Network Functions including Architecture. Handling of Feature delivery & maintenance topics. Responsible for the product quality & deliverables for new features and handling customer issues. Perform high-level and low-level design of the component/functional area. Take ownership of end-to-end quality assurance of features/components. Meet the relevant project quality targets and objectives. Understanding of performance & robustness aspects of telecom products, preferably core products

The Senior R&D Engineer role typically involves leading and contributing to the innovation, design, and development of new products, processes, or technologies. The Senior R&D position is a higher-level role that requires extensive expertise in research, development, and often management skills. You Have: Minimum 4+ Experience in S/W Design and Development (microservices, DevOps) Strong Programming skills(Go). Infra skills (Docker, Kubernetes, Cassandra) Experience in Cloud technologies and telecom environment Experience in Continuous Integration It would be nice if you also had: Demonstrated leadership, communication, and presentation skills. Ability to challenge status quo, Willing to work Collaboratively for Team success, Be Self-motivated with drive and ownership, have a Continuous learning mindset with a Result oriented can do attitude. Design, develop, and implement microservices-based applications using Go programming language. Collaborate with cross-functional teams to define requirements and design solutions. Utilize Docker, Kubernetes, and Cassandra to build and manage infrastructure in cloud-based environments. Set up and manage CI pipelines for automated testing, building, and deploying applications. Develop cloud-native applications tailored to telecom environments, ensuring scalability and low latency. Lead and mentor junior engineers, providing technical guidance and support. Challenge existing processes and technologies to improve the development lifecycle and team efficiency. Continuously learn and stay updated with the latest technologies, adopting best practices and optimizing team performance.

As an R&D Engineer, you will be Responsible for Design, implementation, reviews, and documentation in the assigned technical area. Program ExecutionYou will work as a developer with a team to create well-tested, high-quality software. You will apply modern agile development & DevOps practices in achieving this. Lead the team in feature analysis, creating tasks, implementing tasks along with the team, tracking the feature closely, taking appropriate steps if there is deviation in progress, and delivering the feature on time with good quality. With a quality mindset, contribute towards improvements in the product by identifying improvement areas. You have: Minimum 4+ Experience in S/W Design and Development ( DevOps) Programming skillsJavaScript (React Framework would be better), HTML, CSS Database knowledgeSQL, Radis Database, Some skills for handling synchronization among multiple databases. Strong Programming skills(Go, Python). Infra skills (Docker, Kubernetes, Cassandra). Experience in Cloud technologies and telecom environment. Experience in Continuous Integration. It would be nice if you also had: Some knowledge and experience with working on Linux platforms, Docker, and Kubernetes is required. Testing, deployment, and production line knowledge (Jenkins tool knowledge), CI/CD Pipeline. Knowledge of configuring Apache Flinch for continuous streaming and processing of the data pipeline. Responsible for Design, implementation, reviews, and documentation in the assigned technical area. Program ExecutionYou will work as a developer along with a team in creating well-tested high high-quality software. You will apply modern agile development & DevOps practices in achieving this. Lead the team in feature analysis , creating tasks , implementation of tasks along with the team , tracking the feature closely, and taking appropriate steps if there is deviation in progress , and delivering the feature on time with good quality With a quality mindset , contribute towards improvements in the product by identifying improvement areas.

Overview This role will be part of the AMESA / APAC DevSecOps team responsible for solution design, delivery, governance and sustenance of planning solutions in the portfolio (primarily SAP) and also supporting AMESA/APACs growth journey in the next few years. This role will partner with AMESA / APAC Business & IT Leads to understand requirements, ideate the solution, estimate and deliver solutions in stated domain. This role will support in building new solution design. Roll-outs and improvements of existing solution as part of IT strategy roadmap in the stated areas by collaborating with various IT internal teams. This role will collaborate with various IT internal teams to deliver the solution end to end from initiation to delivery & sustain by adhering to all internal PepsiCo IT standards. People with high motivation, leadership and people management skills are key for success of this role. Responsibilities Plan and deliver all the project and change initiatives in EAM (Enterprise Asset management) value stream as planned by business as part of AOP and ensure it execution within time and budget. Lead IT solution planning, Business requirements analysis, IT project delivery and governance related to the key solutions. Manage multiple projects at the same time efficiently, working with Partner resources for execution Close pursuit for any new applications /solutions in Supply Chain domain that may be required in future as part of IT strategy and roadmap Ensure global lift and shift opportunities are deployed across the sectors Collaborate with other teams (TS&ES Teams, Infra, Security & Controls, Application Development, Middleware & Landscape) to support on discussions / governance related to Controlling domain Work with different stakeholders from Business, IT organization and Partners to ensure efficient delivery as per PepsiCo standards and deliver business value Work with AMESA / APAC EAM function teams members and ensure optimal solutions are delivered Help implement and adapt PepsiCo Agile best practices such as continuous integration, automation of testing and delivery, and continuous peer review within teams. Adheres to the internal IT (AMESA / APAC IT DevSecOps) support operating model, including technology standards, support methodology, release management, change management, and other related processes and procedures Stays up-to-date with technology and industry trends by proactively participating in training, self-study, conferences, webcasts, user group participation, reading or other relevant means. Qualifications Graduation in Engineering 11+ years of experience related IT experience, CPG experience preferred 8-11 years of years of experience configuring, deploying and managing SAP PM/SAM/Work Manager modules. In depth knowledge of maintenance processes along with integration with other SAP modules. Knowledge of all master data objects required to support the plant maintenance activities. At least 2+ large scale implementation projects experience preferred 5+ years of Lead experience

Data Analysis & Insights, Retail Data Analytics, Data Processing, Statistical Modeling & Forecasting, Reporting. WhatsApp CV only text +91 8660770495 (no unsch calls pls) Email CV: cv@archangelhr.in, hr@archangelhr.in, hi@archangelhr.in Required Candidate profile B.Tech or equal, with hands-on industry experience in data analysis, R or Python

About The Role #body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(0,0,0) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(230,231,232,1.0) !important;} Apply now Senior Industry Consultant Job Location (Short): Hyderabad, India Workplace Type: Hybrid Business Unit: ALI Req Id: 251 .buttontextb0d7f9bdde9da229 a{ border1px solid transparent; } .buttontextb0d7f9bdde9da229 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Responsibilities Work with account executives to understand the prospective customer’s business needs and partner with the account executive on strategy to achieve the desired outcomes. The Industry Consultant will leverage their industry knowledge to engage, educate, understand, and interpret customer needs as an equal with the intention of becoming a trusted advisor. Participate in go to market strategy development and alignment with marketing, product development, and other cross functional teams, particularly through the provision of feedback to influence the on-going product strategy Conduct evaluations and assessments of the customers’ business practices, work processes, and technical environments to provides a future state vision/transformation which will incorporate HxGN EAM as core solution within their business Provide business inputs for RFI and RFP responses including things such as high-level vision; guidance on response terminology and provide response to questions regarding over-arching concepts; and provide final review of response alignments with your overall solution vision Engage with the prospect customer’s Executive and/or C-Suite, as appropriate, to develop and articulate the business benefits and the business value associated with future state vision/transformation Coordinate successfully with the Business Solution Consulting team on the linkages between business benefits/values with the functional capabilities of the desired solution stack Coordinate with multiple internal teams to orchestrate successful presentations and demonstrations to provide an unambiguous viewpoint of the future state solution stack Collaborate with customers and partners to address security and compliance, performance at scale, availability, and manageability of customer IT operations. Be self-managing, yet work with other members of the Business Architecture Team, to leverage their expertise in developing content – the team contains senior value engineers, technical business architects, enterprise architects, reliability engineers and others Provide content and direction to marketing to enable them to provide collateral to support your market segment including authoring and co-authoring white papers, eBooks and other content that may require deep market knowledge Engage with industry communities and the customer base through active participation and leadership in forums, conferences, and professional organizations including the presentation of thought-provoking content aimed at enticing prospects/customers to more heavily engage Remain engaged with the prospect/customer’s Executive and C-Suite post sale to make sure implementation aligns with the vision articulated through the sales process; this could include sitting on a steering panel for the project. TravelTravel time is anticipated to be lower with the acceptance of video conferencing in the post pandemic world. Current experience would suggest an estimate for travel time would be 20-30%, including internationally. However, this will be subject to change as we re-evaluate new working realities. Education / Qualifications Excellent communication and interpersonal skills including being a confident and articulate speaker. 10+ Years working within the asset intensive industries, preferably in a senior position that provides good across the board knowledge of the industry segment. 5+ years working with competitor solutions in the EAM/APM/AIP space in a similar role or an equivalent time with consulting firms servicing the industry. BTech / MTech degree or equivalent qualification/experience. Ability to understand and communicate with all levels in an organization. Excellent presentation skills, previous experience of C-Level Presentation, Customer communication/handling. About Hexagon Hexagon is the global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. Our technologies are shaping production and people related ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon (Nasdaq StockholmHEXA B) has approximately 24,500 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at?hexagon.com?and follow us?@HexagonAB. Hexagon’s R&D Centre in India Hexagon’s R&D Centre in India is the single largest R&D centre for the company globally. More than 2,000 talented engineers and developers create innovation from this centre that powers Hexagon's products and solutions. Hexagon’s R&D Centre delivers innovations and creative solutions for all business lines of Hexagon, including Asset Lifecycle Intelligence, Autonomous Solutions, Geosystems, Manufacturing Intelligence, and Safety, Infrastructure & Geospatial. It also hosts dedicated service teams for the global implementation of Hexagon’s products. R&D India – MAKES THINGS INTELLIGENT MAKE – The ingenuity of creating new solutions, processes, opportunities, by using Hexagon`s Reality Technology. THINGS – Hexagon`s sensors, software, and autonomous tech, stitched together by high-value engineering, and applied to various aspects of human endeavour. INTELLIGENT – To sense, understand, decide or act, either completely or partially, either through human control or autonomously. Everyone is welcome At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all. Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here. .buttontext1c1d8f096aaf95bf a{ border1px solid transparent; } .buttontext1c1d8f096aaf95bf a:focus{ border1px dashed #0097ba !important; outlinenone !important; } #body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(0,0,0) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(230,231,232,1.0) !important;} Apply now

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Led the project from India working with onshore/ client stakeholders. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include working with the team of junior analysts, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Education Bachelor of Engineering in Statistics Work Experience Overall, 4-7 years of rich experience in marketing analytics with 3+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and good PowerPoint skills. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering the results within timelines. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc Experience using various patient level data like APLD, EHR, patient registries etc Can work across variety of projects from advanced analytics, adhoc analysis and reporting Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite Teamwork and collaboration and can mentor junior associates Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams Willingness to learn and innovate Experience in pharmaceutical sales and marketing analytics would be preferred Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources Strong communication, project management, and storyboarding skills Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities Job Responsibilities Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes Ensure that value assessment addresses the impact of key market dynamics and internal events, is logically designed and well-documented Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements Perform ad-hoc queries for leadership across all functions; be an internal expert and resource Maintaining accountability for high quality, timely service delivery of forecasting analytic service requests, including requests for solutions requiring sophisticated statistical and machine learning approaches Education Bachelor of Engineering in Statistics Work Experience 4-6 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based, and other systems dynamics-based techniques Manage & develop patient/epidemiology-based forecasting models for pharma clients Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies EPI-based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc) Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Master Diploma - Business Administration Master of Business Administration in Computer or Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics Pharma Forecasting

Job Responsibilities- Create and validate analytical datasets using on real-world data sources (e.g., claims data, electronic health records) based on study protocols and inclusion/exclusion criteria. Conduct descriptive and inferential statistical analyses (e.g., hypothesis testing, regression modelling, survival analysis) Develop and validate statistical algorithms for advanced data analyses (e.g., propensity score matching, machine learning) Contribute to the development of study protocols, statistical analysis plans, abstracts/posters, manuscripts, and study reports. Collaborate with cross-functional teams (e.g., epidemiologists, clinicians, biostatisticians) to design and execute RWE studies.

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering Bachelor of Technology Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To lead building high-performing, scalable, enterprise-grade applications with implementation of business rules. Job Responsibilities Lead a team of 2-4 development members. Design scalable and flexible business rules frameworks for the team to work on. Design and develop new and enhanced functionality in the Strategic Decision Making modules Explore and select existing business rules frameworks and software tools that can be leveraged for providing the solution Design the implementations for such frameworks or similar engine(s) and integrate them with existing Force.com platform based applications Hands on design and development of technical artifacts Create HLD and assist the team in creating LLDs. Guide the team to perform optimally by scheduled code reviews and feedbacks. Education BE/B.TechMaster of Computer Application Work Experience Total12yrs. And Minimum of 6 years of relevant experience in leading a team of technical team membersToal 15yrs. And Minimum of 9 years of relevant experience in leading a team of technical team members Behavioural Competencies Teamwork & LeadershipMotivation to Learn and GrowOwnershipCultural FitTalent Management Technical Competencies Problem SolvingLifescience KnowledgeCommunicationProject ManagementAttention to P&L ImpactBusiness developmentCapability Building / Thought LeadershipScale of revenues managed / deliveredScale of Resources Managed

We are looking for a Data Scientist with a product engineering mindset to join our fast-paced, data-driven team. Youll work at the intersection of data science, software engineering, and product development, helping to design and deliver scalable, data-centric solutions that drive business value and enhance user experience, particularly in the sports domain. Collaborate with cross-functional teams (Product, Engineering, Design, and Business) to identify opportunities where data science can improve products and services. Design, develop, and deploy machine learning models and data pipelines in production environments using Python, R, and cloud-native services on AWS and Microsoft Azure. Translate complex data into clear product insights and actionable recommendations. Contribute to the product lifecycle by embedding data science into product discovery, experimentation, and iterative improvements. Maintain a strong focus on the user experience, ensuring data-driven solutions are practical and aligned with product goals. Communicate findings effectively with both technical and non-technical stakeholders. Location: Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata, Pune, Chennai, Remote

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-7 years of experience in AI, ML, and Advanced Analytics. Proficiency in Python, R, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on experience with Big-data technologies (Cloudera, Apache Spark, Kafka, Iceberg table format). Strong knowledge of statistical modelling, optimization, and feature engineering. Understanding of MLOps practices and AI model deployment. Preferred technical and professional experience Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Exposure to Graph AI using DGraph Enterprise. Knowledge of cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6-10 years of experience in AI, ML, and Advanced Analytics. Strong programming skills in Python, R, and SQL. Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data platforms (Cloudera, Apache Spark, Kafka, Iceberg). Strong background in statistical modelling, optimization, and time-series forecasting. Experience with MLOps and model deployment on cloud platforms. Preferred technical and professional experience Should have over 10 Yrs of experience in developing and maintaining the advanced analytics as a data scientist. Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. To design, review and recommend the ML algorithms and provide a suitable solution for the business need. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Experience in working with Banking Data model by implementing any analytical solution. Exposure to Graph AI using DGraph.

We are seeking a highly skilled and independent Senior Machine Learning Engineer Contractor to design, develop, and deploy advanced ML pipelines in an AWS environment. Key Responsibilities: Design, develop, and deploy robust and scalable machine learning models. Build and maintain ML pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with data scientists, data engineers, and product teams to identify ML use cases and develop prototypes. Optimize models for performance, accuracy, and scalability in real-time or batch systems. Monitor and troubleshoot deployed models to ensure ongoing performance. Location - Kochi, Trivandrum,Remote.

Job Title:GN - SC&O - S&P – Spend Analytics – Senior Data Scientist Management Level:8 – Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accenture's spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelor's or Master's degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | Accenture Qualification Experience:9+ years Educational Qualification:Bachelor’s or Master’s degree