1583 Pandas Jobs - Page 28

Job Title: Data Analyst Location: Bangalore Job Type: Full-Time Job Description: Responsibilities: 1. Design and Develop Data Pipelines: 0. Create and maintain scalable data pipelines to process large volumes of data efficiently. 0. Implement ETL (Extract, Transform, Load) processes to integrate data from various sources into a unified data platform. 1. Data Integration: 1. Work with technologies such as Apache Hadoop, Spark, Kafka, and other big data tools to integrate and process data. 1. Ensure seamless data flow between different systems and platforms. 1. Data Storage Management: 2. Optimize and manage data storage solutions, including data lakes and data warehouses. 2. Ensure data is stored in a manner that is both cost-effective and performant. 1. Data Quality and Integrity: 3. Implement data validation and cleansing processes to ensure high data quality. 3. Monitor data pipelines to detect and resolve data quality issues promptly. 1. Collaboration with Stakeholders: 4. Work closely with data scientists, analysts, and other stakeholders to understand their data needs. 4. Translate business requirements into technical specifications and data solutions. 1. Performance Monitoring and Troubleshooting: 5. Monitor the performance of data pipelines and systems to ensure reliability and efficiency. 5. Troubleshoot and resolve any issues that arise in the data processing workflow. 1. Documentation and Best Practices: 6. Develop and maintain comprehensive documentation for data engineering processes and systems. 6. Establish and promote best practices for data engineering within the team. 1. Stay Current with Industry Trends: 7. Keep up-to-date with the latest trends and advancements in big data technologies and analytics. 7. Evaluate and recommend new tools and technologies to improve data processing and analysis capabilities. 1. Data Security and Compliance: 8. Implement and enforce data security measures to protect sensitive information. 8. Ensure compliance with relevant data protection regulations and standards. 1. Support Real-Time Data Processing: 9. Develop solutions for real-time data processing and stream analytics to support immediate data insights. 9. Utilize tools and frameworks designed for real-time data handling. 1. Continuous Improvement: 10. Continuously seek opportunities to improve data engineering processes and systems. 10. Participate in code reviews and provide constructive feedback to peers. Qualifications: Bachelors or masters degree in computer science, Engineering, or a related field. Proven experience as a Data Analyst/ Engineer or in a similar role, with a focus on big data technologies. Strong proficiency in programming languages such as Python (with Pandas, NumPy), Pyspark, SAS, Java, or Scala. Experience with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, Hive, PySpark). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their big data services. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Technical Skills: Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git). Experience with workflow orchestration tools (e.g., Apache Airflow, Luigi). Understanding of data governance and compliance standards. Experience with real-time data processing and stream analytics. Knowledge of machine learning and data science concepts. Certification in big data technologies or cloud platforms. Orchestration Skills: Proficiency in using orchestration tools like Apache Airflow, Luigi, and Kubernetes to automate and manage complex data workflows. Cloud Exposure: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including their big data and analytics services (e.g., AWS Redshift, Azure Synapse, Google Big Query). Soft Skills: Analytical Thinking: Ability to analyze complex data and derive actionable insights. Problem-Solving: Strong aptitude for identifying issues and developing effective solutions. Communication: Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. Teamwork: Ability to work collaboratively in a team environment and build positive relationships with colleagues. Adaptability: Flexibility to adapt to changing priorities and technologies in a fast-paced environment. Attention to Detail: Meticulous attention to detail to ensure data accuracy and quality. Time Management: Strong organizational skills to manage multiple tasks and meet deadlines. Continuous Learning: Eagerness to stay updated with the latest industry trends and technologies. Qualification Criteria Bachelor’s or master’s degree in computer science, Engineering, or a related field. Proven experience as a Data Analyst/ Engineer or in a similar role, with a focus on big data technologies. Strong proficiency in programming languages such as Python (with Pandas, NumPy), Pyspark, SAS, Java, or Scala. Experience with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, Hive, PySpark). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their big data services. Solid understanding of data modeling, ETL processes, and data warehousing concepts. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

- Gen AI Experience4-12 yearsWork LocationChennai/ Bangalore Mandatory SkillsGen AI, LLM, RAG, Lang chain, Llama, AI/ML, Deep Learning, Python, Tensorflow, Pytorch, Pandas, Prompt Engineering, Vector DB, MLOpsPreferred SkillsAWS or GCP or Azure Cloud, GPT-4, SQL, Fast API/ API Development, Docker/ Kubernetes, Hadoop, Spark or Apache Flink Data Pipeline, Banking exposure Educational BackgroundBachelors or Masters degree in Computer Science, Artificial Programming LanguagesProficiency in Python, R, API development - Python/Fast API. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras etc. Gen AI & RAGExperinced in GEN AI Models, Langchain/Langflow and Prompt Engineeri Machine LearningStrong understanding of machine learning algorithms, Deep Learnin Data ScienceExperience with data analysis, data visualization, and statistical modelin Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Sp Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure Awareness on applied statistics, Experinced in Algorithms, Model development / evalua Exposure to ML Ops & Awareness of Containerisation with Docker/ Kubernetes Problem-SolvingStrong analytical and problem-solving skills with the ability to think c CommunicationExcellent verbal and written communication skills, with the ability to Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries,Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Generative AI. Experience5-8 Years.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Manager Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 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 Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a senior and a key member of the Sales Operations - Data Analytics, Reporting & Visualization team, you will work in a cross-functional team of Data Analytics, Visualization, and Data Analytics experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in sales reporting, dashboards, insights project delivery, stakeholder communication, and guiding less experienced team members where necessary. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

We are seeking a highly skilled Data Scientist with a strong background in the credit card domain to join our dynamic team in Bangalore. This is an exciting opportunity to work onsite with a fast-paced and growing startup, where you will leverage your expertise in Python, SAS, and advanced analytics to drive impactful business decisions. You will play a pivotal role in analyzing large datasets, developing predictive models, and delivering actionable insights to stakeholders across product, risk, and marketing teams. Responsibilities - Develop and implement statistical models and machine learning algorithms using Python and SAS. - Analyze large datasets related to credit card usage, fraud detection, customer behavior, and risk modeling. - Work closely with cross-functional teams including product, risk, and marketing to deliver data-driven insights. - Perform data extraction, cleaning, transformation, and visualization to prepare datasets for analysis. - Design and evaluate A/B tests to support product and marketing decisions. - Build and maintain dashboards, reports, and presentations to communicate findings effectively to stakeholders. - Apply statistical modeling techniques such as regression, decision trees, and clustering to solve business problems. - Utilize SAS (Base, Macro, Enterprise Miner) and Python libraries (Pandas, NumPy, scikit-learn) for advanced analytics. - Conduct customer segmentation analysis to identify patterns and trends in credit card usage. - Collaborate with risk teams to enhance credit risk analytics and collections strategies. - Stay updated with the latest advancements in data science, machine learning, and analytics tools. Requirements - 5+ years of hands-on experience in Data Science or Advanced Analytics. - Proficient in SAS (Base, Macro, Enterprise Miner) and Python (Pandas, NumPy, scikit-learn, etc.). - Strong background in the credit card domain, including risk analytics, collections, and customer segmentation. - Solid understanding of statistical modeling techniques (e.g., regression, decision trees, clustering). - Experience working with large-scale structured and unstructured datasets. - Familiarity with SQL for data querying and manipulation. - Strong communication and stakeholder management skills. - Preferred qualifications - Experience in financial services or banking analytics. - Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. - Masters/Bachelors degree in Statistics, Computer Science, Economics, or related field.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in enhancing the overall data infrastructure and ensuring that data is accessible and reliable for decision-making purposes. Project Role :Analytics and Modelor Project Role Description :Analyze and model client, market and key performance data. Use analytical tools and techniques to develop business insights and improve decision-making. Must have Skills :Google BigQuery, SSI:NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job :Key Responsibilities :Data Proc, Pub,Sub, Data flow, Kalka Streaming, Looker, SQL (No FLEX)1:Proven track record of delivering data integration, data warehousing soln2:Strong SQL And Hands-on (No FLEX)2:Exp with data integration and migration projects 3:Proficient in BigQuery SQL language (No FLEX)4:understanding on cloud native services :bucket storage, GBQ, cloud function, pub sub, composer, and KubernetesExp in cloud solutions, mainly data platform services , GCP Certifications 5:Exp in Shell Scripting, Python (NO FLEX), Oracle, SQL Technical Experience :1:Expert in Python (NO FLEX). Strong hands-on and strong knowledge in SQL(NO FLEX), Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills are preferred2:Strong hands-on experience with building solutions using cloud native services:bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes etc. (NO FLEX)3:Proficiency with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline4:Open mindset, ability to quickly adapt new technologies5:Performance tuning of BigQuery SQL scripts6:GCP Certified preferred7:Working in agile environment Professional Attributes :1:Must have good communication skills 2:Must have ability to collaborate with different teams and suggest solutions 3:Ability to work independently with little supervision or as a team 4:Good analytical problem solving skills 5:Good team handling skills Educational Qualification:15 years of Full time education Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Ability to develop and deploy AI models in production environments. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain documentation related to integration processes and solutions.- Automate complex tasks and workflows across infrastructure management, data processing, application deployments, and IT operations.- Identify process improvement opportunities and implement optimizations.- Utilize RPA solutions where applicable.- Design and implement efficient data pipelines for machine learning models.- Leverage AI/ML techniques (NLP, ML algorithms, data analysis) to create intelligent automation solutions- Perform regular maintenance (patching, upgrades, configuration changes) of security solutions.- Build and implement on-premises and cloud-based security solutions using SaaS, IaaS, and orchestration tools.- Implement robust monitoring and logging solutions.- Report on security status, incidents, and improvements to management.- Develop and maintain APIs and microservices for automation workflows.- Stay abreast of cybersecurity trends, vulnerabilities, and attack vectors.- Proactively propose enhancements to security controls.- Provide exceptional support to internal and external users.- Conduct regular security assessments and vulnerability scans. Professional & Technical Skills: - Must Have Skills: Proficiency in Artificial Intelligence & Machine Learning Operations, Python and PowerShell, including experience with automation scripts and frameworks.- Solid understanding of AI/ML concepts and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).- Proficiency in data manipulation and analysis using Pandas and NumPy.- Knowledge of version control systems (e.g., Git) and CI/CD pipelines.- Hands-on experience with orchestration tools (e.g., Ansible, Puppet).- Strong understanding of integration frameworks and methodologies.- Experience with cloud-based solutions and deployment strategies.- Familiarity with data management and data governance practices. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Role & responsibilities Develop and maintain robust backend systems using Python (Django, Flask, or FastAPI). Design and implement interactive front-end interfaces using React.js, Angular. Collaborate with product managers, designers, and other developers to define requirements and build scalable applications. Write clean, maintainable, and efficient code following best practices. Integrate third-party APIs and work with RESTful and GraphQL services. Develop and maintain database schemas and ensure performance optimization (PostgreSQL/MySQL/MongoDB). Set up CI/CD pipelines and support DevOps processes. Mentor junior developers and perform code reviews. Required Skills: 5+ years of experience as a Full Stack Developer. Strong expertise in Python (Django, Flask, or FastAPI). Proficiency in front-end frameworks like React.js, Angular, . Good understanding of HTML5, CSS3, JavaScript (ES6+), TypeScript. Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Experience with Docker, Git, and cloud platforms (AWS/GCP/Azure). Solid understanding of RESTful APIs, GraphQL, and WebSockets. . Preferred candidate profile Experience with microservices architecture and event-driven systems. Familiarity with serverless architecture. Exposure to Agile/Scrum development methodologies. Knowledge of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Strong problem-solving and communication skills

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational goals, ensuring that the solutions provided are effective and efficient. Your role will require you to balance technical oversight with team management, fostering an environment of innovation and collaboration. Roles & Responsibilities:Transition an existing PoC / MVP into a production-grade, compliant setup.Reconfigure GitLab CI pipelines for new production environment, general setup is completed.Extend current Azure ML workflows and manage them via Azure ML SDK.Train and evaluate custom ML models independently.Apply standard ML techniques (e.g., clustering, embeddings).Collaborate with stakeholders and document workflows. Professional & Technical Skills: GitLab CI (pipeline reconfiguration for newly provided Azure Resource Group) or general experience in CI/CD (eg. Github Actions)Azure Ecosystem:Azure ML, Promptflow, Azure SDKGeneral GenAI capabilities:Tool Calling, Prompt OrchestrationGeneral Data Science Skills: Python, pandas, scikit-learn, sentence transformersContainer build experience for MLStrong stakeholder communication Additional Information:. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Bachelor of Engineering in Electronics or any related stream Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Hyderabad. You will lead the software development process from end-to-end or for specific product lifecycle stages. Roles & Responsibilities:- Lead the design and development of Python-based applications and services.Architect and implement cloud-native solutions using AWS services.Mentor and guide the Python development team, promoting best practices and code quality.Collaborate with data scientists and analysts to implement data processing pipelines.Participate in architecture discussions and contribute to technical decision-making. Ensure the scalability, reliability, and performance of Python applications on AWS. Professional & Technical Skills: - Experienced professional in Python programming language and expertise in web frameworks (Django, Flask, or FastAPI).Exposure to Data processing and analysis (e.g., Pandas, NumPy and SciPy) and Database technologies (SQL and NoSQL).Experienced in AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform).Exposure to Test-Driven Development (TDD) and DevOps practices.AWS Certified Developer certification is preferred. Additional Information:- The candidate should have a minimum of 5 years of experience in Python (Programming Language)- This position is based at our Hyderabad office- A 15 years full time education is required Qualification Bachelor of Engineering in Electronics or any related stream

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Python (Programming Language) Good to have skills : AWS AdministrationMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Hyderabad. You will lead the software development process from end-to-end or for specific product lifecycle stages. Roles & Responsibilities:- Lead the design and development of Python-based applications and services.Architect and implement cloud-native solutions using AWS services.Mentor and guide the Python development team, promoting best practices and code quality.Collaborate with data scientists and analysts to implement data processing pipelines.Participate in architecture discussions and contribute to technical decision-making. Ensure the scalability, reliability, and performance of Python applications on AWS. Professional & Technical Skills: - Experienced professional in Python programming language and expertise in web frameworks (Django, Flask, or FastAPI).Exposure to Data processing and analysis (e.g., Pandas, NumPy and SciPy) and Database technologies (SQL and NoSQL).Experienced in AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) and Infrastructure as Code (e.g., AWS CloudFormation, Terraform).Exposure to Test-Driven Development (TDD) and DevOps practices.AWS Certified Developer certification is preferred. Additional Information:- The candidate should have a minimum of 5 years of experience in Python (Programming Language)- This position is based at our Hyderabad office- A 15 years full time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Marketing Analytics Title :- Level 09 Ind & Func AI Decision Science Consultant Job location :- Gurgaon / Bangalore / Mumbai About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certificationsQualification What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 3+ years of experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with nonlinear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working along with the team and consultant/manager Looking for insight and creating a presentation to demonstrate these insights Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Who we are looking for 3+ years for consultant of work experience in consulting/analytics with reputed organization is desirable Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Management Level: Ind&Func AI Decision Science Manager Location: Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages & Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP). Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: 5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics with reputed organizations Educational Qualification: Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 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 Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Data Analysis & Interpretation 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 Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a key member of the Sales Reporting team, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

JD:- Web scraping of Static & dynamic video sources from various websites of different geographical locations using Python 3.x with Selenium framework. Mandatory Skills : Python 3.x, Selenium, Front end knowledge ( mainly HTML, CSS), regex, selectors( mainly CSS selector, XPath selector) and GitLab. Secondary Skills: Python Packages (mainly Pandas, UrlLib),SQL, JS, Excel and Good oral & written communication skills. 1. Python 3.x 2. Various types of selectors (mainly CSS & XPath) 3. Regex 4. Expertise in Web Scraping & associated framework(mainly Selenium) 5. Xpath Selector Good to Have skills:- 1. SQL ( Basic knowledge to develop complex query) 2. Python packages (mainly Panda, UrlLib,Requests)

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various stakeholders to gather requirements, overseeing the development process, and ensuring that the applications meet the specified needs. You will also engage in problem-solving discussions with your team, providing guidance and support to ensure successful project outcomes. Your role will require you to stay updated with industry trends and best practices to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between technical teams and stakeholders to ensure alignment on project goals.- Mentor junior team members, providing them with guidance and support in their professional development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of statistical analysis and machine learning algorithms.- Hands-on experience with data cleaning, transformation, and normalization techniques.- Ability to interpret complex data sets and provide actionable insights. Additional Information:- The candidate should have minimum 3 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.