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2.0 - 4.0 years

0 Lacs

Ahmedabad, Gujarat, India

On-site

As a Reporting Analyst, You'll Enjoy Fun, talented and witty teammates Knowledgeable, encouraging, and present leadership Family-friendly environment Free-spirited, theme-based employee events Diverse and community-minded organization Career-growth and lots of learning opportunities for aspiring minds And yes…all the competitive pay and benefits you'd expect On a typical day, you'll Collaborate & communicate effectively at all levels of the organization Respond to various requests from internal/external customers Generate, update and distribute daily, weekly, monthly, quarterly and yearly reports for operations, external clients & finance services Must ensure reporting accuracy & respect deadlines Creation of ad hoc reports Analyze data and define requirements of new reports Create data dashboards, graphs and visualizations Regular follow up with concerned stakeholders for data requirement Why You? What You Bring: Connections Are Everything Here At TTEC. That Means We Connect With Our Customers, Our Teammates And Most Importantly With You. And The Ability To Connect Yourself Is What You Bring To The Table… Along With The Following Computer savvy & excellent English communication skills Advanced Excel skills High attention to detail and report Provide flexible coverage during EMEA & US HoursMinimum 2-4 years experience in Data Analysis & Reporting – SHOULD BE GOOD TO HAVE and NOT MUST The passion and drive to make a difference TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. Primary Location India-Gujarat-Ahmedabad Show more Show less

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5.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

Job title: R&D Data Modeling Manager Associate Location: Hyderabad Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference in patients’ daily lives, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with a strong commitment to developing advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone of this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We partner with Business and Digital and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in developing sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The primary responsibility of this position is to support semantic integration and data harmonization across pharmaceutical R&D functions. In this role, you will design and implement ontologies and controlled vocabularies that enable interoperability of scientific, clinical, and operational data. Your work will be critical in accelerating discovery, improving data reuse, and enhancing insights across the drug development lifecycle. Main Responsibilities Develop, maintain, and govern ontologies and semantic models for key pharmaceutical domains, including preclinical, clinical, regulatory, and translational research Design and implement controlled vocabularies and taxonomies to standardize terminology across experimental data, clinical trials, biomarkers, compounds, and regulatory documentation Collaborate with cross-functional teams including chemists, biologists, pharmacologists, data scientists, and IT architects to align semantic models with scientific workflows and data standards Map internal data sources to public ontologies and standards to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data principles Leverage semantic web technologies and ontology tools to build knowledge representation frameworks Participate in ontology alignment, reasoning, and validation processes to ensure quality and logical consistency Document semantic assets, relationships, and governance policies to support internal education and external compliance Deliverables Domain-specific ontologies representing concepts such as drug discovery (e.g., compounds, targets, assays), preclinical and clinical studies, biomarkers, adverse events, pharmacokinetics / dynamics, mechanisms of action, and disease models built using OWL/RDF and aligned with public standards Controlled vocabularies & taxonomies for experimental conditions, cell lines, compound classes, endpoints, clinical trial protocols, etc. Semantic data models supporting the integration of heterogeneous data sources (e.g., lab systems, clinical trial data, external databases) Knowledge graphs or knowledge maps for semantic integration of structured data from internal R&D systems Mappings to public ontologies, standards, and external knowledge bases like: CDISC, MedDRA, LOINC, UMLS, SNOMED CT, RxNorm, UniProt, DrugBank, PubChem, NCBI Ontology documentation & governance artifacts, including ontology scope, design rationale, versioning documentation, and usage guidelines for internal stakeholders Validation reports and consistency checks, including outputs from reasoners or SHACL validation to ensure logical coherence and change impact assessments when modifying existing ontologies Training and stakeholder support materials: slide decks, workshops, and tutorials on using ontologies in data annotation, integration, and search Support for application developers embedding semantic layers About You Experience: 5+ years of experience in ontology engineering, data management, data analysis, data architecture, or another related field Proven experience in ontology engineering, Proven experience in ontology development within the biomedical or pharmaceutical domain Experience working with biomedical ontologies and standards (e.g., GO, BAO, EFO, ChEBI, NCBI Taxonomy, NCI Thesaurus, etc.) Familiarity with controlled vocabulary curation and knowledge graph construction. Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains. Understanding of FAIR data principles, data governance, and metadata management Strong analytical problem-solving skills. Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communication skills. Strong networking, influencing, and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such. Excellent interpersonal skills (team player) Knowledge and experience in ontology engineering and maintenance are required. Knowledge and experience with OWL, RDF, SKOS, and SPARQL Familiarity with ontology engineering tools (e.g., Protégé, CENtree, TopBraid Composer PoolParty), Familiarity with ontology engineering methodologies (e.g., NeOn, METHONTOLOGY, Uschold and King, Grüninger and Fox, etc.) Knowledge and experience in data modeling are highly desired. Experience with pharma R&D platforms, requirements gathering, system design, and validation/quality/compliance requirements Experience with hierarchical data models from conceptualization to implementation, bachelor’s in computer science, Information Science, Knowledge Engineering, or related; Masters or higher preferred Languages: English null Show more Show less

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3.0 years

0 Lacs

Sion, Maharashtra, India

Remote

Location: Remote - Must be able to work in US and EU Time Zones Department: Admin and Operations (IT) Reports to: Project Manager and AdminOps Company: TikTal Influencer Marketing Agency About TikTal: TikTal is a bold, fast-growing influencer marketing agency that connects the most impactful content creators with leading global brands. We specialize in delivering data-driven, ROI-focused campaigns with real influence. Our edge? Results, speed, and a killer creative network. We're growing and now its time to bring in a sales powerhouse who can own the outbound strategy and drive serious revenue. Project Scope and Overview: Build a simple, functional dashboard (frontend + backend) on a tight timeline that is fully functional and operational. What Youll Do: Develop a clean dashboard UI with Vue.js 3 (Composition API, state management). Build Node.js/Express backend APIs and integrate with PostgreSQL. Ensure responsiveness, performance, and basic security (validation, error handling). Deliver production-ready code with minimal supervision. Must-Have Skills: 3+ years full-stack experience (Vue.js 3 + Node.js/Express). Strong with REST API design, database architecture (PostgreSQL). Ability to write clean, maintainable code quickly. Proactive communicator (daily updates, async/sync standups). Experience in developing Basic data visualization (charts/graphs). Able to deploy the project in the cloud (AWS/GCP) or Docker. Location: Remote Must be able to work in US and EU Time Zones Non-Negotiables: Speed + autonomy: Deliver efficiently with minimal hand-holding. Problem-solving: Break vague tasks into clear actions. Hiring Process and Stages: Submit your application, and to be reviewed by our specialist team. Upon initial qualification, you will be invited to join assessment. Upon passing the assessment stage, you will be invited to an interview with the technical team and HR. All Good and Positive, you will be offered and start immediately. Timeline: Tight. Apply only if you can commit to rapid execution. Show more Show less

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6.0 years

0 Lacs

Chennai, Tamil Nadu, India

On-site

About DevRev DevRev is a rapidly growing SaaS innovator, building AgentOS—a unified platform that streamlines collaboration for support, product, and growth teams. Our mission is to help SaaS companies accelerate product velocity and reduce customer churn through AI-driven analytics and seamless integrations. Headquartered in Palo Alto and backed by leading investors, we are expanding our global team in Chennai. About the Team The Applied AI Engineering team is the bridge between DevRev’s core product and our customers’ unique needs. We work closely with clients to design, develop, and implement integrations, automations, and AI-powered enhancements that unlock real value from the DevRev platform. Role Overview As an Applied AI Engineer, you will play a pivotal role in delivering custom solutions for our customers. You’ll leverage your expertise in integrations, cloud/serverless technologies, and AI/ML to connect DevRev with diverse SaaS and enterprise systems. You will collaborate with cross-functional teams and directly with customers, ensuring successful adoption and maximum impact. Key Responsibilities Design, develop, and maintain integrations and automations between DevRev and third-party SaaS/non-SaaS systems using APIs, webhooks, and real-time communication architectures. Leverage AI/ML, including Generative AI and large language models (LLMs), to solve customer challenges and enhance workflows. Build and fine-tune knowledge graphs and semantic search engines for improved data discovery. Analyze data, write SQL queries, and build dashboards to provide actionable insights to customers and internal teams. Collaborate with customers and internal stakeholders (Product, Engineering, Customer Success) to gather requirements and deliver tailored solutions. Document solutions and ensure maintainability, scalability, and resilience in all integrations. Deploy and manage solutions on serverless/cloud platforms (AWS Lambda, Google Cloud Functions, Azure Functions, etc.). Ensure security in API integrations, including OAuth, API key/token management, and secrets handling. Required Skills & Qualifications 6+ years’ experience in integration software development, including APIs, webhooks, and automation for customer-facing solutions. Strong hands-on coding skills in TypeScript, JavaScript, Python, or Go. Experience with serverless/cloud platforms (AWS Lambda, Google Cloud Functions, Azure Functions, etc.). Proficient in OpenAPI specifications, SDK integrations, and secure API practices (OAuth, API keys, secrets management). Solid understanding of event-driven and pub/sub architectures. Experience in data mapping, transformation, and working with graph data structures. Background in AI/ML, especially LLMs, prompt engineering, or semantic search is a strong plus. Excellent communication and documentation skills. Bachelor’s degree in Computer Science, Engineering, or related field (advanced certifications in AI/architecture are a plus). Show more Show less

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0 years

0 Lacs

Pune, Maharashtra, India

On-site

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role And Responsibilities As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our client’s business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Preferred Education Master's Degree Required Technical And Professional Expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio.. Data Modeling and Analysis:. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.. Analyze and model data to ensure optimal ETL design and performance.. Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions.. Implement best practices for reusable Ab Initio components Preferred Technical And Professional Experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization.. Conduct performance tuning and troubleshooting as needed.. Collaboration:. . Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.. Participate in design reviews and provide technical expertise to enhance overall solution quality.. Documentation Show more Show less

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5.0 years

0 Lacs

Gurgaon, Haryana, India

On-site

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Global IT Software Engineer Senior Specialist, you will be responsible for development and technical support of BCG's global HR applications. You will be a part of the HR Product Portfolio and work with a team of internal and external developers, product owners, solution architects and scrum masters to deliver on the roadmap. You will be expected to be hands-on with latest development technologies, and bring innovative ways to execute faster delivery for global BCG users. Therefore, a commitment to collaborative problem solving, sophisticated development practices, and the creation of quality products are essential. What You'll Bring Education BTech/MCA with 5+ years of experience in the development of business applications in a commercial IT setting. Experience/Knowledge Strong proficiency in Angular and core web technologies such as HTML5, CSS3, JavaScript (ES6+), and TypeScript. Solid understanding of RxJS and reactive programming principles. Experience working with RESTful APIs and integrating front-end applications with back-end services. Expertise in building responsive, cross-browser-compatible web applications. Experience with state management using tools such as NgRx or Redux. Knowledge of unit testing frameworks like Jasmine, Karma, or Jest, and end-to-end testing tools such as Protractor, Cypress, or Selenium. Proficiency with version control tools like Git. Familiarity with Agile methodologies (Scrum/Kanban) and tools like Jira. Excellent problem-solving skills, attention to detail, and the ability to work both independently and collaboratively. Strong communication skills, with the ability to clearly articulate technical ideas and decisions to both technical and non-technical team members. Experience working with Front End Architecture – Monolithic, Micro-Frontend. Implement and customize UI frameworks such as Ant Design or Material Design to achieve coherent and aesthetically pleasing designs. Leverage charting libraries to visualize data effectively, creating interactive and dynamic charts and graphs that enhance user engagement and understanding. Familiarity with modern build tools and bundlers such as Webpack, npm, or Angular CLI. Knowledge of CI/CD pipelines and build processes. Understanding of WebSockets and real-time data communication. Keep abreast of the latest trends and technologies in web development and UI design to continually elevate our applications and user experience. You Are Extremely Skilled At Excellent analytical/troubleshooting skills. Exceptional Problem-Solving Skills Excellent communication with an ability to move things to closure in a collaborative manner Being a team player, self-motivated with an ability to create a positive influence over others in the team Additional info YOU’RE GOOD AT Develop and maintain complex front-end applications using Angular (Angular 9+ preferred), ensuring optimal performance and user experience. Optimize web applications for maximum speed, scalability, and compatibility across various devices and browsers. Utilize various UI frameworks to create responsive and adaptive designs. Design high-fidelity UI mockups and wireframes using tools like Figma or equivalent. Develop dynamic user interfaces using typescript and JavaScript, ensuring seamless interactions. Integrate UI elements with server-side APIs to fetch and display data. Collaborate with UX designers, product managers, and backend developers to deliver holistic solutions. Test and optimize UI elements for maximum speed, scalability, and efficiency. Stay updated with the latest industry trends and advancements in UI development. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

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5.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

About SAI Group SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies' success. Role Overview: As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. What You Will Do Experimentation and Research : Systematically explore various technologies and strategies such as foundation models, agentic workflows, ontology and knowledge graphs, reinforcement learning, dynamic prompting, retrieval augmented generation, and collaborative problem solving to enhance our understanding and utilization of foundation models and related Generative AI frameworks. You will design and conduct experiments to probe the limits and capabilities of different foundation models, frameworks and their application strategies. Development and Analysis : Design experiments to understand the capabilities and limits of foundation models. Build tools necessary for conducting experiments, run these experiments, and meticulously analyze the results. Build on the quantitative and qualitative findings from these experiments to design future experiments and shape the architecture of our enterprise AGI platform. Prototyping and Innovation : Take charge of developing and refining prototypes for our platform. Your innovative approach will contribute to evolving our enterprise AGI platform in line with the latest advancements and insights gained from research activities. Requirements Proven hands-on experience prototyping advanced deep technologies in AI/ML and shaping the evolution of platforms, products and user experiences. Hands-on experience working with AI foundation models (LLMs, reasoning models etc.) to craft real-world applications. Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem (public and private models), agent frameworks, and tools. Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies. Knowledge and/or experience with technologies like reinforcement learning and/or technologies like ontologies, knowledge graphs etc. Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies. At least 5 years of work experience in an applied AI science or AI engineering role within a science-driven product development context. Strong quantitative and qualitative analytical skills. A naturally curious mindset with a proactive approach to learning, experimenting, building, and prototyping. Eagerness to lead and influence the development of cutting-edge intelligent platforms. Why Join Us? At SAI Group, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Show more Show less

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40.0 years

5 - 8 Lacs

Hyderābād

On-site

India - Hyderabad JOB ID: R-216718 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 30, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: We are seeking a skilled and creative RShiny Developer with hands-on experience in MarkLogic and graph databases. You will be responsible for designing and developing interactive web applications using RShiny, integrating complex datasets stored in MarkLogic, and leveraging graph capabilities for advanced analytics and knowledge representation. Roles & Responsibilities: Develop interactive dashboards and web applications using RShiny. Connect and query data from MarkLogic, especially leveraging its graph and semantic features (e.g., RDF triples, SPARQL). Design and maintain backend data workflows and APIs. Collaborate with data scientists, analysts, and backend engineers to deliver integrated solutions. Optimize performance and usability of RShiny applications. Functional Skills: Must-Have Skills: Proven experience with R and RShiny in a production or research setting. Proficiency with MarkLogic , including use of its graph database features (triples, SPARQL queries, semantics). Familiarity with XQuery , XPath , or REST APIs for interfacing with MarkLogic. Strong understanding of data visualization principles and UI/UX best practices. Experience with data integration and wrangling. Good-to-Have Skills: Experience with additional graph databases (e.g., Neo4j, Stardog) is a plus. Background in knowledge graphs, linked data, or ontologies (e.g., OWL, RDF, SKOS). Familiarity with front-end frameworks (HTML/CSS/JavaScript) to enhance RShiny applications. Experience in regulated industries (e.g., pharma, finance) or with complex domain ontologies. Professional Certifications (preferred): SAFe Methodology Courses in R, RShiny, and data visualization from reputable institutions (e.g., Johns Hopkins’ “Data Science Specialization” on Coursera) Other Graph Certifications (optional but beneficial) Neo4j Certified Professional (to demonstrate transferable graph database skills) Linked Data and Semantic Web Training (via organizations like W3C or O’Reilly) Soft Skills: Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem-solving and analytical skills. Strong time and task management skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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0 years

1 - 2 Lacs

Hyderābād

Remote

Hyderabad, India Bangalore, India Chennai, India Job ID: R-1059575 Apply prior to the end date: August 8th, 2025 When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you'll be doing… As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What we’re looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Apply Now Save Saved Open sharing options Share Related Jobs Engineer III Specialist-AI Science Save Chennai, India, +2 other locations Technology Senior Engineer Consultant-AI Science Save Chennai, India, +1 other location Technology Engineer III Specialist-AI Science Save Bangalore, India, +2 other locations Technology Shaping the future. Connect with the best and brightest to help innovate and operate some of the world’s largest platforms and networks.

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10.0 years

1 - 6 Lacs

Gurgaon

On-site

We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Meet your team At SAP, we are enabling our customers to become Intelligent Enterprises by integrating data and processes, building flexible value chains, innovating with industry best practices, providing our customers with the ability to understand and act on their customer, partner, and employee sentiment, and how to manage their environmental impact — to grow more resilient, more profitable, and more sustainable” While we touch 70% of the world’s transactions, our customer would like to leverage the data and take business decision. SAP provides technology support and platform the do the same. SAP vision’s support responsible AI built on leading ethics and data privacy standards while maintaining full governance and lifecycle management for our customers. As part of SAP revised strategy, Generative AI is a transformer and a key contributor in improving the business process within and across SAP enterprise solution and bring enhanced value to our customers. We at SAP Customer Success Services team- BTP Delivery@Scale, build or augment application leveraging AI/ML to support their business objective. AI brings in improvement the efficiency and reduction in errors over time for a business process. We are looking for Data scientist and GenAI Expert, you have strong expertise in developing ML models for customer specific business scenarios. What you'll do Guide customers and drive discussions with them to build AI/ML/Generative AI scenarios and finalise expected business outcomes. Drive requirement gathering discussions with customer’s business owners and propose relevant AI/ML/Generative AI use cases to solve business problems. Create system architecture for complex and scalable AI/ML solutions. Develop and put the AI/ML/Generative AI models in production to serve multiple enterprise customers Lead/contribute to developing end-to-end AI/ML/Generative AI solutions, not restrictive to only algorithms. Drive AI/ML/Generative AI initiatives leveraging SAP AI eco system. Lead/work closely with other data scientists/experts and teams to deliver solutions for customers’ AI adoption journey. SKILLS REQUIRED: 10+ years of relevant experience in AI/ML/Generative AI field. Willingness to interact with customers and passionate to solve business problems. Strong focus on delivering business values to customers. Experience in implementing scalable AI/ML solutions. Generative AI expertise Experience/good understanding of Generative AI Concepts and implementations. Experience in Generative AI technology platform offerings, frameworks(Open source Langchain/LlamaIndex, other 3rd party platforms) and tools. Good Experience in Prompt Engineering techniques. Hands-on experience in vector databases, and advanced RAG. Understanding of Knowledge Graphs is a plus. Strong inclination to learn and experiment with new concepts and technologies in Generative AI space. Proficiency in ML technologies/libraries like Scikit-learn, Pytorch, Tensorflow etc. Proficient in one or more programming languages (Python OOP is must) Very strong practical hand-on NLP technology usage knowhow (apply in business context) Experience in developing and productizing scalable AI solutions. Strong data exploration, cleansing, transformation, feature engineering skills Experience in MLOps/LLMOps on any Cloud platform. Familiarity with code management tools like Git, GitHub etc. Familiarity with cloud computing and cloud native technologies (e.g. Docker, K8S etc.) Communication skills with the ability to communicate appropriately with customers in various situations. Ability to bring forth new ideas and drive them to execution. Knowledge of SAP products and solutions, e.g. S4/HANA, SAP BTP, SuccessFactors, Ariba etc. EDUCATION: B.E./B.Tech./M.Tech./MCA in Computer Science or Master’s in data Analytics/Data Science or equivalent degree. #SAPInternalT1 #SAPInternalT2 #SAPInternalT3 #SAPBTPAPJCareers #SAPBTPDSCareers #BTPAPJCareers #BTPDCareers #SAPBTPCareers Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world. SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. EOE AA M/F/Vet/Disability: Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Successful candidates might be required to undergo a background verification with an external vendor. Requisition ID: 422852 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

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1.0 years

0 - 0 Lacs

Mohali

On-site

Profile: Backend Operation Executive Job Responsibilities: Analyze past results and perform variance analysis. Identify trends and make recommendations for improvements. Provide analysis of trends and forecasts and recommend actions for optimization. Identify and drive process improvements. Use Excel functions to organize and analyze data. Create charts, graphs, and presentations for leadership teams. Develop recommendations to improve business operations going forward. Skills Required: Good with numbers High attention to detail Inquisitive Organized Logical Reliable Ability to distill large amounts of information into specific takeaways. Good hands-on MS-Excel. Impeccable Communication Skills Database Management Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹30,000.00 per month Benefits: Food provided Health insurance Schedule: Day shift Fixed shift Monday to Friday Night shift Supplemental Pay: Yearly bonus Education: Bachelor's (Required) Experience: Backend operations : 1 year (Required) total work: 1 year (Required) Shift availability: Night Shift (Required) Work Location: In person

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0 years

0 Lacs

Chennai

On-site

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

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8.0 years

6 - 9 Lacs

Noida

On-site

8-10 years Noida Responsibilities Collaborate with clients to gather and document business and system requirements, converting them into functional specifications and technical requirements Conduct project-level analysis and produce the necessary documentation, including business requirements, scope matrix, use cases, sequence diagrams, future state proposals, and UAT plans Prepare functional artefacts such as BRD/FSD and user stories along with business process flows and prototype requirements to generate wireframes. Analyze existing and proposed systems to conduct Gap Analysis, prepare the Delta (change requirement) Documentation, and manage the change control processes.Take ownership of the product end-to-end and provide feedback to the client for improvement Act as a liaison between Operations, IT, and stakeholders to align requirements and goals, and collaborate with design, development, QA, and system teams to meet project milestones Ensure project quality and adherence to defined governance, process standards, and best practices throughout the project lifecycle Monitor and report on key project metrics including risk, scope, schedule, quality, and customer satisfaction from inception through closure Requirements BE/B.Tech/MCA/MBA with 8+ Years of related experience Ability to convert vague business requirements into detailed specifications and apply basic UX knowledge to align user problems with business needs, presenting user-centric solutions Proficient in Agile Methodology with experience in wireframing, prototyping, and a solid understanding of tools, trends, and technologies for both wireframing and mock-up development Knack at identifying and prioritizing technical and functional requirements. Experience in cost-benefit and viability analysis Experience in conducting interviews to gather customer requirements via workshops, questionnaires, surveys, site visits, workflow storyboards, use cases, scenarios, and other methods Basic knowledge of SQL and Excel Skills (Basic Formulas, VLOOKUP, Pivot Tables, Chart/Graphs, and Conditional formatting) Strong communication, documentation, and presentation abilities coupled with interpersonal finesse, a consultative approach, and adept analytical and problem-solving skills

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5.0 - 8.0 years

0 Lacs

Noida

On-site

JOB DESCRIPTION Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Associate Account Manage – Advertising Cloud You will be proficient in planning, launching, optimizing, troubleshooting, and analyzing Search, Display & Video advertising campaigns in the platform. This knowledge will be used to support our internal client teams in building successful relationships with the leading brands and advertisers of the world. What you'll do: Strategize & plan daily production tasks (campaign set up, launch, tracking & optimization) Identifies trends in data to drive optimization strategies Runs campaign calendar, performance & strategic business reviews, and contractual discussions with clients The primary point of contact for clients and internal teams on all aspects and channels of the Ad Cloud, and on the wider programmatic industry including competitive landscape and positioning Understand, evangelize, and apply Ad Cloud sales plays and use cases, especially related to Adobe Analytics and Adobe Audience Manager, Support integration efforts where applicable Work with regional Client Partners to develop efficient prioritization plans Accountable for meeting/exceeding client needs, issues management and resolution, and customer concern Able to independently drive medium to large projects/initiatives from inception through completion Executes day to day production tasks (campaign set up, launch, tracking & optimization) Completes QA and all production procedures accurately Analyzes performance metrics and proactively optimizes campaigns to increase performance Identifies trends in data to drive optimization strategies Manages campaign calendar, trafficking assets, screenshots, billing, and related pre/post launch processes Contribute to company initiatives, processes, and rollouts Business Reporting What you'll need to be successful: Technical Skills Intermediate/Advanced Microsoft Excel skills. More specifically, it will be important to have in depth knowledge on the following Excel features (but not limited to): VLOOKUP’s, basic formulas like sum, sum if, if error, etc. Pivot Tables and Graphs Macros Intermediate/Advanced Microsoft Presentation and ability to create new infographics to create/present business/performance reviews Digital Marketing Skills Strong understanding of the Search Advertising Ecosystem; experience working on Ad networks (AdWords/Bing/Yahoo) Set up Search campaigns via Adobe’s propriety application and trafficking them to the appropriate targeting to achieve delivery for desired performance. Hands-on experience in driving campaign set-up, monitoring, analysis and making recommendations for optimization. Interact with account managers, engineers and partners on various ops projects and work in partnership with internal and offshore teams to execute display campaigns. Build out, analyse, and constantly improve performance on campaigns through optimizing campaign structure, bid & budget optimization. Monitor performance and budget pacing on daily basis to drive performance and take appropriate steps to avoid over/under delivery with collaboration with Account Management team and client. Responsible for optimization, along with quality assurance, during pre- launch stage, to ensure successful onboarding of advertisers. Should have experience in strategizing and defining the best practices for Search advertising campaigns and solid understanding of user retargeting and third-party tags. Business Skills Demonstrated ability to learn quickly, be a team player, and manage change effectively. Experience presenting in front of groups. Solid understanding of general business models, concepts, and strategies Motivated self-starter capable of taking initiative and negotiating tough situations Basic project management and excellent communication skills 5-8 years of relevant work experience Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

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1.0 years

0 Lacs

Pune, Maharashtra, India

On-site

Job Description: The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development. Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting? Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face. We're looking for an Ontology Specialist / Knowledge Engineer who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience. Reporting to the Ontology/Knowledge Engineering Manager, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division. Responsibilities: Support the design and implementation of ontology-driven knowledge frameworks to support AI, search, and content retrieval systems. Develop and maintain taxonomies, knowledge graphs, ontologies, and metadata models, ensuring scalability and alignment with business goals. Ensure adherence to data governance, compliance, and privacy standards, particularly in the use of AI-driven systems. Establish and maintain best practices for ontology versioning, data integration, and knowledge updates, leveraging FAIR and the corporate ontology principles Work closely with teams across Wolters Kluwer to develop data models, focusing on conceptual, logical, and physical models for knowledge representation. Communicate effectively with collaborators from a variety of domain expertise and technical experience; able to clearly describe ontologies, models, and knowledge frameworks, as well ask about requirements, the job to be done, and other clarifying questions Monitor trends in knowledge engineering that can apply to current / future solutions Experience: Bachelor's degree in computer science, library science, linguistic or related experience Has 1+ years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies Has 1+ years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.) Has 1+ years experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc. Has 1+ years experience integrating linked data sets in application Strong written and oral communication and presentation skills Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains Experience in adoption of knowledge models to the legal, accounting or health domains is desirable Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Show more Show less

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3.0 years

0 Lacs

Noida, Uttar Pradesh, India

On-site

AI Agent Development - Python (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a AI Agent Developer (Python) with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. Show more Show less

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1.0 years

0 Lacs

Mumbai, Maharashtra, India

On-site

Secondary Research Executive Location: Mumbai The Opportunity: Join the Pulse of Global Conversations Are you curious about how public opinion shapes brands? Do you enjoy decoding headlines, connecting dots, and transforming noisy data into strategic signals? At Edelman Data & Intelligence (DXI), we’re looking for a Secondary Research Executive who can bring rigor, speed, and storytelling to media insight. DXI is Edelman’s global, multidisciplinary research, analytics, and data consultancy, with 350+ experts across 15 markets. We help businesses build trusted relationships with people by turning media, social, and digital signals into compelling insight narratives. Our projects span global brand reputation tracking, executive risk monitoring, and campaign measurement across industries like tech, healthcare, sustainability, and policy. We’re looking for someone who’s not only news-obsessed but also fluent in Boolean logic, multilingual media search (Google, Baidu), and fast-turn executive summaries. If you're eager to grow within a collaborative, insights-driven team — we want to hear from you. The Role of Secondary Research Executive You will be responsible for crafting clear, actionable, and client-relevant analysis through daily, weekly, or ad hoc media and issues monitoring. This role requires both precision and perspective — a perfect fit for someone who thrives on detail but thinks like a strategist. Key Responsibilities: • Build and refine Boolean search queries across global and regional media monitoring platforms (e.g., Meltwater, Factiva, Baidu). • Conduct advanced online searches to source and surface niche commentary in English and Chinese. • Monitor and summarize traditional, digital, and social media in real-time across topics, industries, and regions. • Write concise, insight-driven summaries and daily alerts for C-suite and senior communicators. • Apply tone and sentiment judgment to media articles with accuracy and consistency. • QA monitoring logs and summaries for formatting, tagging, and accuracy errors. • Clean and structure media data in Excel (e.g., deduplication, normalization, missing metadata handling). • Create visual outputs such as charts (e.g., volume over time, share of voice) using Excel or Google Slides. • Identify key trends and reputational risks or opportunities based on volume, tone, and influencer presence. • Collaborate with Research Managers and Analysts to align monitoring insights with strategic narratives. The Ideal Profile: • 1+ years of experience in media monitoring, research, PR analytics, or communications intelligence. • BA/BS in Communications, Journalism, Political Science, Data Analytics, or a related field. • Strong Boolean logic and search operator proficiency across monitoring tools. • Native or professional proficiency in English. • Familiarity with APAC media and digital ecosystems. • Comfortable summarizing quickly and accurately for high-stakes audiences. • Strong data hygiene and Excel skills (filters, pivot tables, conditional formatting). • Experience or interest in creating basic visualizations (e.g., column charts, line graphs). • Highly organized with a meticulous attention to detail. • Proactive, collaborative, and adaptable in a fast-paced, client-facing environment. What You’ll Gain • The opportunity to work at the front lines of media trends, public opinion, and crisis communications. • Development in insight writing, QA excellence, and measurement frameworks. • Mentorship from Edelman DXI’s regional and global experts. • A diverse and inclusive team that values curiosity, precision, and strategic storytelling. About Us: • We are a method-neutral consultancy We use quantitative and qualitative research, secondary research and media analysis, social-listening, and digital and business analytics to solve the issues facing our clients. • We think fast & slow We combine the need for real time insights and decision-making with an ability to take a step back to analyze trends, audience perspectives, innovation, and intelligence. • We value diversity Our team is made up of practitioners from different culture, origins, and academic backgrounds with varying professional experience and technical expertise. • Visit www.edelmandxi.com for more information Show more Show less

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3.0 years

0 Lacs

Chennai, Tamil Nadu, India

On-site

About Pinnacle Group: Pinnacle Group is a leading workforce solutions provider that empowers organizations to achieve their business objectives through innovative workforce strategies. We specialize in optimizing contingent workforce management and delivering tailored solutions that drive operational excellence. With a commitment to diversity and inclusion, Pinnacle Group fosters an environment of collaboration, growth, and success. Summary Pinnacle Group is seeking a strong analytical resource who will be responsible for maintaining and creating analysis and data visuals that will enable leaders of the program to make strategic decisions. Someone who is strong in data visualisation, experience working with complex tableau functionalities. Basic Function of Position The ideal candidate will champion change and effectively manage the implementation of new ideas. Proactively communicate and collaborate with external and internal stakeholders to analyze information needs and functional requirements. Participate in planning, needs analysis and risk assessment; consult with stakeholders on how to best support their data use through the effective use of technology. Ability to take large data sets and present to leadership opportunities and strategies in a condensed manner. Candidate will also be responsible for presenting actionable insights at monthly and quarterly program review sessions. Duties And Responsibilities: Conduct data analysis and create data visualizations to support strategic decision-making. Collaborate with internal and external stakeholders to understand information needs and functional requirements. Present actionable insights derived from data analysis during monthly and quarterly program review sessions. Identify opportunities, trends, and strategies aligned with organizational objectives through data analysis. Provide technology consultation to stakeholders on effective data utilization and tool selection. Champion the implementation of new ideas and manage change related to business intelligence processes. Participate in risk assessment activities to ensure data quality, security, and accuracy. Craft visually appealing PowerPoint presentations that communicate complex data findings. Utilize T-SQL skills for data extraction and manipulation within databases. Develop and use complex formulas, charts, and graphs in Excel for data analysis. Collaborate with cross-functional teams and demonstrate strong written and verbal communication skills. Maintain a high level of attention to detail to ensure data integrity. Utilize Tableau to create analytics visualizations for data-driven insights. Possess familiarity with programming languages such as Python, C#, PowerShell, SSIS packages, and Visual Studio (a plus but not required). Continuously stay updated on emerging technologies and trends in the business intelligence field. Qualifications Bachelor’s degree in MIS, Information Technology, Computer Science, or other quantitative major. Data management and analysis experience (3+ years working with databases and creating data visualisations for fortune 500 or top tier consulting company) Experienced in developing analytics visualisations. Strong knowledge of Tableau and intermediate to advanced Database and T-SQL skills Experienced in writing complex formulas and creating charts and graphs in Excel. Experience creating PowerPoint decks. Strong written and verbal communication skills Strong attention to detail is a must. Show more Show less

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3.0 - 10.0 years

0 Lacs

Bengaluru, Karnataka, India

On-site

About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsu’s products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI-Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researcher’s duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsu’s network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions. Show more Show less

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8.0 years

0 Lacs

India

On-site

Key Responsibilities: Lead or support migrations from traditional L2/L3 data center networks to Cisco ACI using an application-centric approach. Perform application dependency mapping and define ACI constructs such as tenants, application profiles, EPGs, and contracts. Translate existing firewall rules, VLANs, and routing policies into ACI policy models. Deploy, configure, and troubleshoot ACI components including APIC, Nexus 9000 series switches, leaf/spine fabrics, and fabric access policies. Collaborate with application teams to ensure accurate mapping of workloads and security policies. Integrate ACI with virtualization environments (e.g., VMware vCenter, ESXi). Monitor and troubleshoot ACI fabric issues, using tools like APIC GUI/CLI, SNMP, and Syslog. Conduct detailed cutover planning, testing, and rollback strategies for ACI migrations. Integrate ACI with virtual environments (VMware, Hyper-V), firewalls, and load balancers. Document technical designs, migration plans, and operational procedures. Train operations staff and provide post-migration support to ensure environment stability. , Required Qualifications: Bachelor’s degree in computer science, Network Engineering, or related field (or equivalent experience). 8+ years of experience in enterprise networking and 4+ years with Cisco ACI deployments. Strong understanding of data center networking, including VXLAN, routing protocols BGP, OSPF, multicast, and Layer 2/3 technologies. Experience with Cisco Nexus switches (especially Nexus 9000 series), APIC CLI/GUI, and troubleshooting ACI fabric issues. Strong understanding of ACI policy-driven networking, including bridge domains, contracts, L3Outs, and service graphs. Understanding of hybrid cloud networking and micro-segmentation concepts. Experience in ACI Migrations from Network-centric to application-centric migration in Cisco ACI. Demonstrated experience in application-centric ACI migrations, including dependency mapping and policy translation. Experience in analyzing existing network-centric environments, mapping applications to ACI constructs (tenants, EPGs, contracts), and executing migrations with minimal disruption. Strong troubleshooting and diagnostic skills. Preferred Skills: Hands-on experience with ACI Multi-Pod or Multi-Site environments. Knowledge of network automation (Python, Ansible) and ACI REST APIs. Experience with tools like Cisco NDP, MSO, or third-party app mapping solutions (e.g., Tetration, Algosec). Cisco certifications such as CCNP Data Center, Cisco ACI Field Engineer Specialist, or DevNet Professional. Show more Show less

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0 years

0 Lacs

Chennai, Tamil Nadu, India

On-site

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

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40.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a skilled and creative RShiny Developer with hands-on experience in MarkLogic and graph databases. You will be responsible for designing and developing interactive web applications using RShiny, integrating complex datasets stored in MarkLogic, and leveraging graph capabilities for advanced analytics and knowledge representation. Roles & Responsibilities: Develop interactive dashboards and web applications using RShiny. Connect and query data from MarkLogic, especially leveraging its graph and semantic features (e.g., RDF triples, SPARQL). Design and maintain backend data workflows and APIs. Collaborate with data scientists, analysts, and backend engineers to deliver integrated solutions. Optimize performance and usability of RShiny applications. Functional Skills: Must-Have Skills: Proven experience with R and RShiny in a production or research setting. Proficiency with MarkLogic, including use of its graph database features (triples, SPARQL queries, semantics). Familiarity with XQuery, XPath, or REST APIs for interfacing with MarkLogic. Strong understanding of data visualization principles and UI/UX best practices. Experience with data integration and wrangling. Good-to-Have Skills: Experience with additional graph databases (e.g., Neo4j, Stardog) is a plus. Background in knowledge graphs, linked data, or ontologies (e.g., OWL, RDF, SKOS). Familiarity with front-end frameworks (HTML/CSS/JavaScript) to enhance RShiny applications. Experience in regulated industries (e.g., pharma, finance) or with complex domain ontologies. Professional Certifications (preferred): SAFe Methodology Courses in R, RShiny, and data visualization from reputable institutions (e.g., Johns Hopkins’ “Data Science Specialization” on Coursera) Other Graph Certifications (optional But Beneficial) Neo4j Certified Professional (to demonstrate transferable graph database skills) Linked Data and Semantic Web Training (via organizations like W3C or O’Reilly) Soft Skills: Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem-solving and analytical skills. Strong time and task management skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

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2.0 years

0 Lacs

Patna, Bihar, India

On-site

Job Description About Chemist Box Private Limited: Chemist Box Private Limited, a leading retail pharmacy chain in Patna, is seeking a dedicated Office Administrator to manage administrative operations efficiently. With 7 physical stores, 1 online outlet, and a commitment to exceptional service, we are the go-to destination for high-quality pharmaceutical products. Position: Office Administrator Location : Patna, Bihar (Nationwide applications welcome) Responsibilities Primary responsibilities Oversee day-to-day operations, ensuring SOP compliance. Coordinate office activities and operations for efficiency Accounts and Finance. Manage invoicing, billing, and financial record-keeping. Handle petty cash and reconciliation tasks Microsoft Excel Proficiency. Utilize advanced Excel functions for data analysis and reporting. Prepare spreadsheets, charts, and graphs. Inventory Control. Collaborate with the warehouse for stock management. Conduct regular audits to prevent discrepancies. Monitor stock levels, reorder supplies, and coordinate with vendors. Vendor Coordination and Ordering Communicate with vendors for timely procurement of office and pharmacy products. Place and track orders, negotiate contracts, and ensure timely deliveries. Stakeholder Relationships Establish and maintain strong relationships with customers, suppliers, and stakeholders. Qualifications: - Bachelor’s degree in business administration or related field. Minimum 2 years of relevant experience. Strong knowledge of accounts, Microsoft Excel, and office coordination. Excellent communication, leadership, and analytical skills. Ability to multitask and make informed decisions. Requirements: * Age above 25 years. No pharmacy license required. salary : 15k to 20k per month Requirements Requirements having expereience in admin having data entry operator expereience pharma and non pharma both relevant Show more Show less

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0 years

0 Lacs

Chennai, Tamil Nadu, India

On-site

Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines Design, develop & deploy Deep learning models using TensorFlow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource TensorFlow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State-of-the-art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Show more Show less

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5.0 years

0 Lacs

Hyderabad, Telangana, India

On-site

Job Description What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Asset & Wealth Management Engineering Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our Asset Management business delivers innovative investment solutions through a global, multi-product platform and is one of the pre-eminent investment management organizations globally. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design. Who We Are The Asset & Wealth Management Data Office is a group within AWM whose primary responsibilities are to ensure that the data used for business and reporting purposes is well understood and of the highest quality available, implement the Firm’s data governance policies, and expand and improve the strategic data architecture. We work with global stakeholders to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights – aiming to eliminate duplication, improve data quality, respond faster to new business opportunities, and to meet regulatory requirements. How You Will Fulfill Your Potential As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives. You will: Develop communication and reference materials that enable data consumers and producers to improve data quality and implement the data governance policy Provide guidance and training on how to plan implementation of requirements set forth by the policy Provide data quality analytics that enable data consumers and producers to drive remediation efforts Work with data consumers and producers to negotiate ownership of data Create lineage graphs to show how data moves from point of entry to where it is used Define and create appropriate data validation controls Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases Build consensus across senior stakeholders Partner closely with stakeholders to define and evolve firmwide data governance strategy Communicate progress to senior stakeholders and within the team Test and monitor data quality controls You will have the potential to Grow your understanding of data and the underlying businesses that use it Develop business, data analysis and relationship management skills Contribute to progressing the data strategy at Goldman Sachs Why join the team Interpersonal Communication: You’ll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients. Creativity: You’ll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. The Responsibilities And Requirements Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful. Responsibilities Play a central role in defining the strategic direction for Asset & Wealth Management in data initiatives Document Data Lineage from source to reporting Lead and participate in working groups to improve data quality and ease of access to information Help promote the data governance framework and drive adoption across all of the division Interface and coordinate with project team(s) to define objectives, develop approaches, create detailed schedules, provide status updates and prepare deliverables for projects Partner with stakeholders to ensure user tools meet for analyzing data meet user’s needs Stakeholder management /sponsors and users of all levels Test and monitor data quality controls Basic Requirements Bachelor’s degree 5+ years of relevant hands-on data governance, data quality, or data management experience Sufficient knowledge and the ability to run queries and participate in data analysis Proficiency in SQL, MS Excel, Data visualization tools, and Data Models Highly organized with exceptional communication, negotiation and influencing skills Relationship management: effectively partner with stakeholders with a focus on end-client value Knowledge of data warehousing and the development of physical and logical models Extremely proactive and works well in a collaborative environment Exceptional attention to detail and analytical thinking Ability to effectively communicate and present results highlighting the broader strategic impact Preferred Qualifications Experience of data governance or data management Prior experience in financial services industry Advanced proficiency in SQL, MS Excel, Data visualization tools, and Data Models May have a software engineering background (not required) Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

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