44 Sentiment Analysis Jobs

We are seeking a highly skilled Senior Salesforce AI Developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. As a Salesforce AI Developer, your role involves collaborating closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce. Your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service Cloud. You will collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation. Additionally, you will lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience. Furthermore, you will collaborate with product managers, data scientists, and developers to ensure the successful implementation of AI/ML solutions aligned with business goals. You will implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud. Using Salesforce Einstein, you will apply natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies. Your role will involve analyzing customer data to identify actionable insights and recommend tailored product offerings. You will monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs. Additionally, you will ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models. Key Qualifications: - 6+ years of overall experience in Salesforce development with at least 2+ years of relevant hands-on experience in Salesforce AI Solutions development. - Expertise in Salesforce Einstein AI features, including Sales Cloud Einstein, Service Cloud Einstein, Einstein Copilot, Prompt Builder, Einstein Studio, Einstein Chatbot, etc. - Experience in customizing applications using Apex, LWC, and Lightning Flows. - Proficiency in data modeling, data integration using REST APIs, and handling large datasets within Salesforce. - Strong understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. - Ability to translate complex business needs into actionable AI/ML solutions and ensure data security and compliance standards are met. Preferred Skills (Good to have): - Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. - Experience in Salesforce Data Cloud, MLOps practices, automating model training and deployment, and working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights. - Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud. - Proficiency in Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports, Python, TensorFlow, PyTorch for developing ML models, and NLP, LLMs, and LLM model development.,

Genpact is a global professional services and solutions firm that is driven by curiosity, agility, and the desire to create lasting value for clients. With a workforce of over 125,000 employees across 30+ countries, we serve leading enterprises worldwide, leveraging our deep industry knowledge, digital operations services, and expertise in data, technology, and AI to deliver outcomes that shape the future. We are currently seeking applications for the role of Assistant Manager, Social Media Listening, who will be responsible for monitoring online conversations, analyzing social media trends, and developing insights to inform marketing and business strategies. The ideal candidate should have a keen eye for detail and a good number of years of experience in social listening. Responsibilities include tracking and analyzing conversations on social media platforms, evaluating sentiment behind brand mentions, collecting data from various online sources, conducting competitor analysis, generating reports with key findings, identifying potential PR crises, collaborating with cross-functional teams, and staying updated on industry trends and social media platform updates. Qualifications we seek in you include a minimum of B.E & MBA, MBA, BCA, MCA, BSc/MSc degrees, good knowledge of Banking & Finance, expertise in Office tools like Excel, PowerPoint, and Word, strong analytical skills, experience with social media analytics tools, knowledge of Banking, Retail, and FMCG/CPG industries, excellent communication skills, ability to handle large datasets, flexibility to work on critical projects, and strong interpersonal and relationship-building skills. The primary location for this position is India-Bangalore, and it is a full-time role. The education level required is Bachelor's/Graduation/Equivalent. The job was posted on Jan 7, 2025, at 6:25:33 PM, and the unposting date is Feb 6, 2025, at 11:59:00 PM. The Master Skills List category for this job is Operations, and it falls under the Full Time job category.,

As a Senior Analyst - Social Listening & Consumer Insights at AB InBev GCC, you will play a crucial role in designing, executing, and delivering custom social listening reports to drive strategic decision-making across the organization. Your responsibilities will include engaging with stakeholders to gather business requirements, translating them into platform-specific queries, conducting in-depth analysis of social media data, identifying key themes and sentiment drivers, and synthesizing findings into concise narratives. Your role will require a high degree of independence, problem-solving capabilities, and the ability to manage cross-functional collaboration effectively. You will work with multilingual content, deriving culturally contextualized insights from non-English sources. Additionally, you will consult with stakeholders to define social listening topics, metrics, and filtering criteria aligned with business objectives. Key tasks and accountabilities will involve designing and implementing social listening setups, analyzing data from social listening platforms, collaborating with cross-functional teams, presenting insights in a structured manner, creating reporting deliverables, visualizing findings, maintaining reporting calendars, refining social listening queries, monitoring industry best practices, and adhering to global social listening collaboration protocols. To qualify for this role, you should have 2-4 years of experience in social listening, consumer insights, or social media marketing roles. You should possess proven experience with social listening and analytics platforms, consumer insights tools, a strong understanding of social media platforms, demonstrated analytical skills, experience with Boolean queries, sentiment analysis, and natural language processing. Additionally, you should have strong multitasking abilities, be detail-oriented, a self-starter, and possess excellent communication and presentation skills. As for behavioural competencies, you should demonstrate promotional techniques, segmentation, penetration, and brand visibility understanding, beer industry business acumen, analytical and problem-solving skills, comfort with large amounts of data, results focus, resiliency, agility, and ability to manage conformity to established procedures & processes. An undying love for beer is also essential for this role at AB InBev GCC.,

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

As an I&F Decision Science Practitioner Senior Analyst at Accenture, you will be part of a global professional services company known for its leading capabilities in digital, cloud, and security. With a focus on Strategy and Consulting, Technology, Industry X, and Operations services, we leverage our unmatched experience and specialized skills across more than 40 industries to deliver exceptional results for clients worldwide. Your primary responsibility will be to analyze and solve increasingly complex problems, using your expertise in areas such as Delivery - Digital Analytics. You will engage in day-to-day interactions with peers within Accenture, and may also have opportunities to collaborate with clients and Accenture management. Your role will involve minimal instruction for daily tasks and a moderate level of guidance for new assignments. Key qualifications for this position include a Bachelor's degree in any field, along with 5 to 8 years of relevant experience. Additionally, we are looking for individuals with strong skills in storytelling, insight generation, and presentation. Experience in social listening and sentiment analysis, particularly using platforms like Talkwalker and Hootsuite, is highly desirable. Adaptability, agility, commitment to quality, and excellent written and verbal communication skills are essential for success in this role. By harnessing talent, data, and intelligence, you will play a crucial role in redefining operating models and delivering breakthrough business outcomes for our clients. Your ability to work well in a team, along with your capacity for quick learning and your dedication to quality, will be key assets in driving value and shared success for our clients, people, shareholders, partners, and communities. Join us at Accenture and be part of a dynamic team that embraces change, creates value, and delivers outstanding experiences across the enterprise at speed and scale. Visit www.accenture.com to explore more about our global network and the opportunities we offer.,

As a Brand Manager focused on Social Media & Online Reputation, your primary role will involve driving the brand narrative across digital platforms, maintaining a strong online reputation, and increasing engagement with existing and potential learners. You will thrive in a dynamic, fast-paced environment and possess a solid understanding of online reputation management, community engagement, and brand response strategies. Your responsibilities will include Online Reputation Management (ORM), where you will be tasked with monitoring, addressing, and resolving queries, complaints, and reviews on various platforms such as Quora, Reddit, Twitter, Facebook, YouTube, BBB, Google Reviews, and Trustpilot. Collaboration with Escalation and Customer Success teams to manage critical issues effectively, minimize negative sentiment, and build brand trust will be essential. Utilizing tools like Brandwatch, Sprinklr, or similar platforms, you will also track and analyze brand mentions, sentiment trends, and competitor presence. To excel in this role, you should possess at least 3-5 years of experience in Brand Management, Online Reputation Management, or Social Media Marketing. A proven track record of managing community engagement on platforms like Quora, Reddit, Twitter, Facebook, and YouTube is crucial. Practical experience with social listening tools, ORM tools, and sentiment analysis tools is required. Strong communication skills, adept stakeholder management, conflict resolution abilities, and the capacity to handle pressure and time-sensitive situations with tact are essential qualities for success. Previous experience in EdTech, SaaS, or consumer-facing tech products will be advantageous.,

About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow, and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Document, Content & Record Services Technology (DCRS) is an enterprise-wide capability, managing documents, e-signature transactions, and the creation, storage, and fulfillment of billions of letters and statements annually. DCRS capabilities are at the forefront of the digital evolution as they drive a significant reduction in paper and manual processes. Job Description - 7+ years as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - We're looking for a Python Developer who can be responsible for designing, building, and maintaining document capture applications - The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models Responsibilities - Building Machine Learning & NLP Models and knowledge of new Gen AI Open-source Models Requirements - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Education - Bachelors /masters degree in computer science/data science, or a related technical field - Certifications If Any: NA Experience Range - 06 Years To 12 Years Foundational Skills - Good experience as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Desired Skills - Collaborating with a diverse set of partners and stakeholders from various Lines of Business - Highly motivated, proactive, and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight - Critical thinker: ability to analyze problems and identify issues and provide solutions - Ability to navigate the enterprise & data assets across multiple functions - Highly organized - Effectively prioritizes and balances multiple efforts in a fast-paced environment - Excellent communication and Presentation skills - Analytical abilities & great problem-solving skills Work Timings - 11:00 AM to 8:00 PM IST Job Location - Mumbai, Gurugram, GIFT, Chennai,

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture OperationsOur quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 3-5 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern. Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Delivery - Social Media Monitoring & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture OperationsOur quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.Act of monitoring and Analyzing Social Media activities, including opportunity analysis & initiatives definition, roadmap formulation & vendor selection, social intelligence technologies, business intelligence, and service set-up & management. What are we looking for Strong understanding of social media platforms and social analytics / ad platforms Primary skillset should be storytelling, social insight generation and presentation with 3-5 years of experience Experience in social listening and sentiment analysis Ability to draw relevant insights from data and visualize them on slides Good PowerPoint Skills Excellent communication skills (verbal and written) Ability to understand the business context Experience of working with onshore teams Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Proficient in social listening and sentiment analysis, trend identification and translating data into actionable insights Familiarity with platforms like Dash social, Talkwalker, Sprinklr, Brandwatch and Hootsuite preferred Up to date on social media platforms and reporting suite (Facebook, Instagram, Pinterest, TikTok etc.) GA4, Looker, SQL/Python experience good to have Strong knowledge of digital marketing and customer analytics preferred Experience in CPG, Retail, Beauty preferred Roles and Responsibilities: Understand audience behavior and preferences through data analysis. Benchmark performance against competitors to identify opportunities or threats Create regular reports and dashboards to share performance trends, identify what s working, and highlight areas of concern. Track KPIs like engagement rate, reach, impressions, follower growth, click-through rates, and conversions across platforms In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

As a Data Science candidate, you will be expected to be hands-on & outcome focused to deliver end to end Data Science projects. You should also possess a proven track record of delivering & managing multiple Data Science projects through its complete lifecycle starting from defining the business problem to recommending action driven insights. You are expected to demonstrate leadership, analytical & project management qualities to not only execute projects independently but drive multiple projects to completion through collaboration, mentoring & consulting in a demanding environment. Work youll do Liaison with on site and client teams to understand various business problem statements analytical requirements Provide suggestions on various machine learning algorithms to solve business analytics problems Drive for value proposition with best in class industry practices & latest algorithms Actively participate in client pursuits, proposals & bids Oversee & improve machine learning models developed by the team & identify scope for model improvements & best practices. Qualifications Required: Experience in descriptive & predictive analytics Education: Bachelors / Masters in a quantative fields. Analytics certificate programs from a premier institute will be preferred. Should have hands on experience implementing & executing Data Science projects throughout the entire lifecycle Expertise in Sentiment Analysis, Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG) Strong understanding of text pre-processing & normalization techniques such as tokenization Strong knowledge of Python is a must Strong SQL querying skills & data processing using Spark Hands on experience in data mining with Spark String expertise in any commercial data visualization tool such as Tableau, Qlik, Spotfire etc. Good understanding of Hadoop ecosystem.

You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Your main responsibilities will include developing Conversational AI & Call Transcription solutions, creating NLP & Generative AI Applications, performing Sentiment Analysis & Decision Support tasks, and handling AI Deployment & Scalability aspects. You will be expected to work on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key technical skills required for this role include a strong background in Speech-to-Text (ASR), NLP, and Conversational AI, along with hands-on experience in tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text, Python, PyTorch, TensorFlow, Hugging Face Transformers, LLM fine-tuning, RAG-based architectures, LangChain, and Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB). Experience in deploying AI models using Docker, Kubernetes, FastAPI, Flask will be essential. In addition to technical skills, soft skills such as translating AI insights into business impact, problem-solving abilities, and effective communication skills to collaborate with cross-functional teams will be crucial for success in this role. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP use cases, a background in knowledge graphs, prompt engineering, and multimodal AI, as well as familiarity with Reinforcement Learning (RLHF) for enhancing conversation models.,

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and more than ever, our future. A future where we're always looking forward, serving up new ways to meet life's moments, and where we keep dreaming bigger. We look for individuals with passion, talent, and curiosity and provide them with teammates, resources, and opportunities to unleash their full potential. The power we create together, when we combine your strengths with ours, is unstoppable. Are you ready to join a team that dreams as big as you do AB InBev GCC, incorporated in 2014 as a strategic partner for Anheuser-Busch InBev, leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do you dream big We need you. Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of Role: - Understand and solve complex business problems with sound analytical prowess to provide impactful insights in decision-making. - Ensure any implementation roadblocks are communicated to the Analytics Manager to prevent project timeline delays. - Document every aspect of the project in a standard way for future reference. - Articulate technical complexities to senior leadership in a simple and easy-to-understand manner. Key Tasks and Accountabilities: - Understand business problems and collaborate with stakeholders to translate them into data-driven analytical/statistical problems during the solution-building process. - Create appropriate datasets and develop statistical data models. - Translate complex statistical analyses over large datasets into insights and actionable steps. - Analyze results and present findings to stakeholders. - Communicate insights using business-friendly presentations. - Mentor other Data Scientists/Associate Data Scientists. - Build a project pipeline in Databricks that is production-ready. - Develop dashboards (preferably in Power BI) for easy consumption of solutions. Qualifications, Experience, Skills: - Level of Educational Attainment Required: Bachelor's/Master's Degree in Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative discipline. - Previous Work Experience: Minimum 4-6 years in a data science role, building, implementing, and operationalizing end-to-end solutions. - Expertise strongly desired in building statistical and machine learning models for classification, regression, forecasting, anomaly detection, dimensionality reduction, clustering, etc. - Exposure to optimization and simulation techniques (good to have). - Expertise in building NLP-based language models, sentiment analysis, text summarization, and Named Entity Recognition. - Proven skills in translating statistics into insights, with sound knowledge in statistical inference and hypothesis testing. - Mandatory: Microsoft Office, Expert in Python, Advanced Excel. - An undying love for beer!,

As a data and analytics engineering professional at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and ultimately driving business growth. In the realm of artificial intelligence and machine learning, your responsibilities will involve developing and implementing advanced AI and ML solutions to foster innovation and enhance business processes. Your work will encompass designing and optimizing algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with 15+ years of hands-on experience are preferred for this role. Essential requirements for this position include familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges. You should also possess a solid understanding of conversational data (chats, emails, and calls) to train Conversational AI systems. In-depth knowledge of CCaaS platforms such as NiceCX, Genesys, and Cisco, including their architecture, functionalities, and integration capabilities, is crucial. Proficiency in contact center metrics like average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) is necessary. Additionally, familiarity with sentiment analysis, topic modeling, and text classification techniques, as well as proficiency in data visualization tools like Tableau, Power BI, and Quicksight, is required. An understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics is essential. Expertise in NLU verticals such as ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI is highly valued. You will also be expected to apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms to enhance contact center performance. Preferred qualifications include proficiency in programming languages such as Python, Pyspark, R, and SQL, as well as a strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling, along with skills in techniques like regression analysis, time series forecasting, clustering, and NLP techniques, is advantageous. Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data is beneficial. An understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data is also preferred. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), as well as an understanding of ethical considerations in data science and responsible AI practices, will be beneficial. The ideal educational background for this role includes a degree in BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.,

As a Contact Centre Data and AI Architect, you will be responsible for leveraging your deep knowledge of Genesys (including InfoMart, UCS, GAAP, SpeechMiner, WFM, and Routing) and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. Your role will involve defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. You will need to understand data models for Genesys (InfoMart, SpeechMiner) and create mappings to cloud equivalents. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Furthermore, you will evaluate and recommend data architectures that minimize the impact on downstream systems during the migration to CCaaS. Your expertise will be pivotal in identifying opportunities to enhance customer experience through AI technologies such as intent detection, virtual assistants, predictive routing, and sentiment analysis. Collaboration with internal AI/ML teams is crucial to define data-driven automation use cases and implementation strategies. Working closely with IT, customer service operations, business teams, and external CCaaS vendors will be part of your daily responsibilities. Additionally, you will participate in vendor evaluations and selection processes for CCaaS and AI solutions. Your role will also involve engaging in interviews with various business stakeholders to understand their contact center needs and assess the impact on downstream applications. This position requires a high level of expertise in contact center data and AI technologies, strong collaboration skills, and the ability to drive successful migration strategies.,

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

As a Senior Mobile User Experience Researcher, you will play a crucial role in driving user-centric improvements and championing research in strategic decisions. With 6+ years of experience in in-house research teams or relevant work settings, you will utilize a diverse range of research methods such as contextual enquiry, thematic analysis, ethnography, and usability tests to understand user needs and behaviors comprehensively. Your key responsibilities will include leading initiatives to enhance user experience, collaborating with the UX team to embed an evidence-based perspective into strategic decisions, and ensuring research insights are integrated into design solutions. Additionally, you will oversee UX research processes, implement best practices for collaboration, and facilitate knowledge sharing across touchpoints to shape the UX strategy in alignment with organizational goals. To excel in this role, you should possess excellent communication and analytical skills, experience in quantitative and qualitative research methods, and the ability to work independently while collaborating with cross-functional teams. A rigorous approach to documentation and organization, familiarity with agile processes, and proficiency in tools such as Pendo, User Testing, Hotjar, and Jira are essential. Moreover, staying updated on industry trends and advocating for research and design excellence will be crucial to keep the organization at the forefront of user experience. If you are a versatile thinker comfortable with ambiguity, have experience in SaaS, and demonstrate a passion for UX research excellence, we encourage you to apply for this role. Your role as a Senior Mobile User Experience Researcher will not only contribute to enhancing user satisfaction but also drive positive business outcomes through impactful and insights-driven solutions.,

As a Manufacturing Data Analyst at our high-growth company, you will be responsible for understanding manufacturing data from clients, devising strategies to address pain points, and enhance business value. Your role will involve data exploration, analysis, and automation of data cleaning tasks. You will collaborate closely with the data science and product teams to derive valuable insights from client data. You should hold a Bachelor's or Master's degree in engineering, mathematics, Mechanical/Aerospace Engineering, and possess 4-6 years of experience working with renowned manufacturing/aerospace/automotive/consumer product companies. Proficiency in working with spreadsheets and processing large volumes of data is essential, along with experience in Python (Pandas)/R. In this role, you will be expected to understand and define relationships among entities in manufacturing data, interpret technical statements, and engage in tasks ranging from understanding business objectives to data manipulation and web scraping solutions. Collaboration with stakeholders such as machine learning engineers, data scientists, data engineers, and product managers will be a key aspect of your responsibilities. We are looking for individuals who are entrepreneurial, driven, and eager to contribute to a fast-growing SaaS company. You should have excellent written and verbal communication skills, expertise in natural language processing (NLP) techniques for text and sentiment analysis, and ideally, experience working with startups. Joining our interdisciplinary team, you will have the opportunity to work with leaders from Palantir, McKinsey, GM, and Ford. We value collaboration, diversity of thinking, and setting high standards to deliver exceptional results in a startup environment.,

Position : Junior Software Developer Location : Vashi, Navi Mumbai Responsibilities Assist in designing, developing, and testing machine learning models. Work with data engineering teams to collect, clean, and format data for analysis. Implement current machine learning algorithms and experiment with new techniques. Document and present model development processes and results to key stakeholders. Contribute to improving existing AI functionalities within our products. Stay updated with AI/ML advancements and suggest potential integrations. Who We're Looking For Individuals with a strong background in Python, SQL, and a passion for Machine Learning, NLP, and Generative AI. Proficiency in interacting with databases (MySQL) using Python Experience with sentiment analysis, topic modeling, Hugging Face models, RAG, LLM fine-tuning, and Stability AI models. Familiarity with creating and managing APIs, with experience in tools like Swagger for documentation. Fully committed individuals not currently pursuing any academic programs. (ref:hirist.tech),

Role Overview :- Monitor, evaluate, and optimize AI/LLM workflows in production environments. Ensure reliable, efficient, and high-quality AI system performance by building out an LLM Ops platform that is self-serve for the engineering and data science departments. Key Responsibilities:- Collaborate with data scientists and software engineers to integrate an LLM Ops platform (Opik by CometML) for existing AI workflows Identify valuable performance metrics (accuracy, quality, etc) for AI workflows and create on-going sampling evaluation processes using the LLM Ops platform that alert when metrics drop below thresholds Cross-team collaboration to create datasets and benchmarks for new AI workflows Run experiments on datasets and optimize performance via model changes and prompt adjustments Debug and troubleshoot AI workflow issues Optimize inference costs and latency while maintaining accuracy and quality Develop automations for LLM Ops platform integration to empower data scientists and software engineers to self-serve integration with the AI workflows they build Requirements:- Strong Python programming skills Experience with generative AI models and tools (OpenAI, Anthropic, Bedrock, etc) Knowledge of fundamental statistical concepts and tools in data science such as: heuristic and non-heuristic measurements in NLP (BLEU, WER, sentiment analysis, LLM-as-judge, etc), standard deviation, sampling rate, and a high level understanding of how modern AI models work (knowledge cutoffs, context windows, temperature, etc) Familiarity with AWS Understanding of prompt engineering concepts People skills: you will be expected to frequently collaborate with other teams to help to perfect their AI workflows Experience Level 3-5 years of experience in LLM/AI Ops, MLOps, Data Science, or MLE

In this role, you will design and deliver advanced AI curriculum, mentor students through real-world projects, and contribute to the evolution of a global AI learning program that emphasizes technical depth, ethics, and employability.

: Job Title Group Audit Analytics Senior Analyst Corporate Title Assistant Vice President Location Mumbai, India Role Description As Analytics Senior Analyst you will be a member of our Data Analytics Center of Excellence (CoE) for Group Audit. You will pioneer and support Group Audit in implementing innovative and effective analytics processes that are critical to the success of our audit function. Based in the Mumbai office, you will work embedded in audit teams around the world, applying the latest analytics technologies while connecting with the central team in Germany to leverage our core analytics solutions. You will be responsible for supporting all Group Audit functions with data analytics services and audit automation solutions. Team / division overview Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes: Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques Examining and identifying data patterns and trends to help answer business questions and improve decision making Identifying areas to increase efficiency and automation of data analysis processes Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on: Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Representing the bank as a data science practitioner in industry initiatives At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Evaluate and provide analytics solutions to auditors to identify potential risk, anomalies, detect outliers and identify weaknesses in control activities using analytical tools like SQL and Python. Develop and maintain interactive dashboards using Tableau that effectively convey meaningful insight and track key metrics. Communicate findings and insights to stakeholders including Senior Management that support informed decision-making process and effectively drive business strategy. Collaborate closely with auditors, data owner and subject matter experts to understand business requirement and translate them into analytical solution in an agile and iterative manner. Proactively identify automation opportunities and develop solutions that simplify audit processes and make Group Audit more efficient. Core area for automation will be the Key Control automated testing for Technology, Data and Innovation. Drive innovation across Group Audit, leveraging the experience gained and data collected from successful data analytics projects. Focus here will be especially for IT related audit data and testing. Promote the adoption and integration of data science into the Group Audit organization and inspire Group Audit colleagues by sharing background on successful adoption. Apply highest quality standards as your solutions will become an integral part of audit execution processes. Support upskilling of auditors to gain competencies in data analytics method to transform Group audit into data-driven function. Your skills and experience Ideally first-hand experience in Audit function specifically in risk management and compliance focusing on data analytics and reporting. Masters or bachelors degree (or equivalent PhD appreciated) from an accredited college or university (or equivalent) in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Computer Science, Economics, etc.) or equivalent work experience. Possess at least 8 years of relevant experience IT auditor experience highly appreciated. Proficiency in SQL and Python for data analysis. Proficiency in reporting and visualization using Tableau. Hands-on experience in ETL and data warehouse, Hadoop, Hive/Impala. Familiarity with GCP services and tools, OpenShift, CDSW. Familiarity with Sentiment Analysis and Natural Language Processing (NLP). Excellent verbal and written communication skills with the ability to convey complex information in clear and concise manner to Senior Management, Audit committees and other stakeholder. Strong problem-solving and analytical skill to interpret complex data and derive actionable insights. A creative technologist passionate about data and information with an intrinsic motivation and curious to learn new technologies and frameworks to adopt data analytics for new ways of auditing. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

BKMSOLVENTS is looking for Social Media Analytics Professional to join our dynamic team and embark on a rewarding career journey Data Collection: Gathering data from various social media platforms, including metrics like likes, shares, comments, and followers, as well as qualitative data related to user sentiment and feedback. Data Analysis: Using data analysis tools and techniques to identify trends, patterns, and insights from social media data. This may involve data visualization, sentiment analysis, and statistical analysis. Performance Metrics: Monitoring and reporting on key performance indicators (KPIs) such as engagement rates, click-through rates, conversion rates, and follower growth. Competitive Analysis: Analyzing the social media activities of competitors to identify opportunities, gaps, and best practices. Audience Insights: Understanding the demographics, preferences, and behaviors of the target audience to create more effective content and campaigns. Campaign Assessment: Evaluating the effectiveness of social media marketing campaigns and providing recommendations for improvement. Content Strategy: Collaborating with social media and content teams to develop data-driven content strategies that resonate with the audience.

Your Role Developing and implementing advanced analytical models to derive actionable insights from large datasets. Utilizing machine learning techniques, predictive modeling, and statistical analysis to solve complex workforce-related challenges. Utilizing deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for advanced predictive analytics. Publishing articles, presenting at conferences, and participating in relevant forums (Thought Leadership). Performing natural language processing (NLP) and sentiment analysis for extracting insights from unstructured data sources. Your profile Proven experience as a Power Platform Developer with expertise in PowerApps, Power Automate, and Power BI. Strong understanding of the Microsoft Power Platform architecture and common development practices. Familiarity with Common Data Service (CDS) and Dataverse. Experience with integrating Power Platform with other Microsoft services like SharePoint and other data sources. Excellent communication skills and the ability to work in a collaborative team environment. Knowledge of Agile development methodologies. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.