889 Pandas Jobs - Page 34

We are looking for a skilled RCE-Risk Data Engineer-Lead with 8-10 years of relevant experience to join our team. The ideal candidate will have strong technical skills, an eagerness to learn, and a keen interest in Financial Crime, Financial Risk, and Compliance technology transformation. ### Roles and Responsibility Develop, maintain, and optimize backend systems and RESTful APIs using Python and Flask. Design and implement concurrent processing strategies and performance optimization for complex architectures. Write clean, maintainable, and well-documented code. Develop comprehensive test suites to ensure code quality and reliability. Work independently to deliver features and fix issues, with some overlap for real-time collaboration. Integrate backend services with databases and APIs. Collaborate asynchronously with cross-functional team members. Participate in occasional team meetings, code reviews, and planning sessions. ### Job Requirements Minimum 6+ years of professional Python development experience. Strong understanding of Computer Science fundamentals (Data Structures, Algorithms). Experience with Flask and Restful API Development. Knowledge of container technologies (Docker, Kubernetes). Proficiency in implementing interfaces in Python. Familiarity with Python generators for efficient memory management. Good understanding of Pandas, NumPy, and Matplotlib libraries for data analytics and reporting. Understanding of multi-threading and parallelism in Python. Knowledge of Global interpreter lock (GIL) in Python and its implications on multithreading and multiprocessing. Experience with SQL alchemy for database interaction. Knowledge of implementing ETL transformations using Python libraries. Ability to collaborate with cross-functional teams to ensure successful implementation techniques of list compressions in Python.

We are looking for a highly skilled and experienced professional with 3 to 6 years of experience to join our team as an Analyst in the TAX-TAX-Other department, located in Bangalore. The ideal candidate will have a strong background in tax and transaction services. ### Roles and Responsibility Develop complex, consumer-facing desktop and web applications using Excel automation with Python. Utilize Pandas, Numpy, Tkinter, FlaskAPI, SQL, xLwriter, ModinPandas, Sklearn, Pyodbc, Pymongo, and matplotlib/seaborn libraries for data re-engineering, wrangling, and manipulation in Excel. Design window interfaces using tkinter/Pyautogui and automate email processes using Python. Collaborate with cross-functional teams to provide services across multiple client departments while adhering to commercial and legal requirements. Deliver insightful and practical solutions to complex problems with a practical approach. Work on big-data equivalent datasets and leverage machine learning models/training/plotting techniques. ### Job Requirements Minimum 3 years of experience in developing complex, consumer-facing desktop and web applications using Excel automation with Python. Strong knowledge of Pandas, Numpy, Tkinter, FlaskAPI, SQL, xLwriter, ModinPandas, Sklearn, Pyodbc, Pymongo, and matplotlib/seaborn libraries. Experience with Web Scraping and Selenium automation using Python. Ability to work collaboratively to provide services across multiple client departments. Practical approach to solving issues and complex problems. Exposure to Machine Learning Models/Training/Plotting is an added advantage. Qualification: Engineering, MCA, or equivalent.

We are looking for a highly skilled and experienced Senior Consultant to join our team in the Financial Services Office (FSO) - Financial Services Risk Management (FSRM) - Credit Risk. The ideal candidate will have 3-8 years of experience. ### Roles and Responsibility Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. Understand market trends and demands in the financial services sector and client issues by staying updated on current business and industry trends. Monitor progress, manage risk, and communicate status, issues, and key priorities with stakeholders to achieve expected outcomes. Actively mentor junior consultants and review/analyze tasks completed by them. Flexibility to work on projects involving model audits, validation, and development activities. Possess strong documentation skills and the ability to quickly grasp key details and summarize them in presentations or documents. ### Job Requirements Postgraduate degree in accounting, finance, economics, statistics, or a related field. At least 3 years of related work experience in credit risk management, ECL, and stress testing. Complete understanding of climate risk models for credit underwriting, ECL, and stress testing. Knowledge of climate risk-related requirements published by regional regulators like FED, EBA, BNM, APRA, MAS, and other regulators. Understanding of Credit Risk and Risk Analytics techniques is desirable. Hands-on experience in data preparation, manipulation, and consolidation. Strong background in statistics and econometrics. Ability to take initiative and work independently with minimal supervision. Strong technical skills, proficient in Advanced Python (Pandas, Scikit Learn, Object-Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, Excel. Certifications such as FRM, CFA, PRM, SCR are a plus. Experience in Data/Business Intelligence (BI) Reporting is beneficial. Good to have knowledge in Machine Learning models and their applications. Willingness to travel to meet client needs. Previous project management experience is advantageous.

Role & responsibilities Role Overview: We are hiring an experienced and passionate trainer to conduct in-person sessions at our Hyderabad campus. The ideal candidate should have strong technical expertise in Data Science, AI/ML, and Python programming, along with a passion for teaching and mentoring students. Youll be responsible for delivering high-quality training, guiding hands-on projects, and ensuring that our learners are equipped with in-demand skills and knowledge. Key Responsibilities: Deliver classroom-based training sessions on Data Science, Machine Learning, and AI tools and techniques. Break down complex concepts into simplified, engaging content suitable for beginners and intermediate learners. Guide students through live projects, capstone assignments, and lab sessions. Provide one-on-one mentorship and support during learning and project work. Collaborate with curriculum teams to continuously improve content and delivery. Stay updated with the latest trends in AI, ML, and emerging technologies like GenAI and LLMs. Why Join Us? If you’re passionate about empowering the next generation of tech professionals and believe in delivering practical, impactful education—WhiteScholars offers you a rewarding platform to shape future careers. Preferred candidate profile Who Should Apply: Candidates based in Hyderabad (onsite role only). Graduates in Computer Science, Engineering, Data Science, or a related field. Professionals with a solid understanding of core data science concepts, machine learning, and AI. Prior experience in training, teaching, or mentoring is preferred (but not mandatory). Working professionals from the industry looking to mentor part-time are also encouraged to apply. Willingness to travel occasionally for sessions or workshops. Must-Have Skills: Proficiency in Python, NumPy, Pandas, and Scikit-learn. Strong understanding of data preprocessing, model building, and evaluation techniques. Exposure to Power BI, TensorFlow/Keras, and basic NLP techniques. Ability to teach with clarity and adapt to different student learning styles. Excellent communication and presentation skills. Confident in handling live Q&A, student feedback, and interactive sessions. Good to Have: Experience with Deep Learning frameworks and GenAI tools (OpenAI, Hugging Face). Exposure to LLMs, Prompt Engineering, or real-world AI/ML deployments. Familiarity with GitHub, project portfolios, and interview preparation guidance.

Walk-In Drive for Machine Learning / Deep Learning Engineers Date : Saturday, 17th May Time : 9:30 AM to 1:30 PM Location : Mirafra Technologies, Akshay Tech Park, Plot No. 72 & 73, 2nd Floor, EPIP Zone, Whitefield, Bengaluru, Karnataka 560066 Experience : 5 to 10 Years Are you an experienced ML/DL Engineer ready to work on impactful real-world applications? Were hiring skilled professionals with expertise in Machine Learning / Deep Learning , especially those with experience in the HVAC domain . Who Should Attend? We are looking for professionals with: 5 to 10 years of experience in Machine Learning / Deep Learning Strong coding and modeling experience in Python Hands-on knowledge of TensorFlow, PyTorch, Keras , Scikit-learn, etc. Experience in NLP, Computer Vision, or Predictive Maintenance HVAC domain knowledge or exposure to building automation, control systems, or energy optimization is a strong advantage Experience with deploying ML models on cloud platforms (AWS/GCP/Azure) preferred Key Responsibilities Develop and deploy ML/DL models in areas like predictive maintenance, energy analytics , and smart building solutions Work with cross-functional teams to deliver intelligent HVAC solutions Perform data preprocessing, feature engineering, model training, and evaluation Ensure high-performance and scalable model deployments in production environments What to Bring Updated Resume Government ID Proof Recent Passport Size Photograph Note HVAC domain experience is preferred but not mandatory.

About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role : Senior Computer Vision Engineer Functional Area : AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent. Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location : Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks. Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks. Test and refine models and systems based on real-world data and feedback. Evaluate project requirements, plan and manage the roadmap of a project. Present findings and insights in a clear and concise manner to stakeholders. Collaborate and help to integrate and deploy computer vision systems into broader product architecture. Conduct research to stay updated on emerging computer vision technologies and trends. Automate data preprocessing and annotation processes to streamline workflow efficiency. Maintain comprehensive documentation for algorithms, implementations, and evaluations. Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus. Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers. Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras. Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation. Experience in evaluating computer vision models using relevant metrics and performance indicators. Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc. Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc. Basic knowledge of linear algebra, calculus, and statistics. Strong critical thinking, analytical, and problem-solving skills Self-motivated, quick learner and strong team player with ability to work with minimal supervision.

Role ObjectiveWe are currently seeking a Lead - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate be a skilled on Advance Excel, SQL, Python and support on Reporting and Analytics applications. The candidate needs to have strong technical knowledge and be very structured and analytical in his/her approach. Essential Duties and Responsibilities Primary responsibility involves advanced SQL and advanced Excel report design and development.Publishing and scheduling SSIS\SSRS report as per the business requirements. Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs.Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver. Good understanding of database management systems and ETL (Extract, transform, load) frameworkConnecting to data sources, importing data and transforming data for Business Intelligence. Experience in using advance level calculations on the data set. Responsible for design methodology and project documentation.Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Should have knowledge and experience in prototyping, designing, and requirement analysis.QualificationsGraduate (BE-BTEC Computer science /BCA/MCA/MSc Computers) or have an equivalent academic qualificationGood communication Skills (both written & verbal)2+ years experience in Reporting and Analytics with Python, SQL and excel must have prior experience on Relational Database and BI developer using SQL server, SSIS, Power BI, Tableau, Advance Excel. Skill Set: Good to have:Experience on Design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries.Exposure to Snowflake would be ab added advantageExperience with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success.Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft AzureGood knowledge/expertise on different versions of .Microsoft Sql Server 2008, 2012, 2016, 2017, 2020

We are currently seeking a Lead - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate be a skilled on Advance Excel, SQL, Python and support on Reporting and Analytics applications. The candidate needs to have strong technical knowledge and be very structured and analytical in his/her approach. Essential Duties and Responsibilities Primary responsibility involves advanced SQL and advanced Excel report design and development. Publishing and scheduling SSIS\SSRS report as per the business requirements. Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs. Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver. Good understanding of database management systems and ETL (Extract, transform, load) framework Connecting to data sources, importing data and transforming data for Business Intelligence. Experience in using advance level calculations on the data set. Responsible for design methodology and project documentation. Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Should have knowledge and experience in prototyping, designing, and requirement analysis. Qualifications Graduate (BE-BTEC Computer science /BCA/MCA/MSc Computers) or have an equivalent academic qualification Good communication Skills (both written & verbal) 2+ years experience in Reporting and Analytics with Python, SQL and excel must have prior experience on Relational Database and BI developer using SQL server, SSIS, Power BI, Tableau, Advance Excel. Skill Set: Good to have: Experience on Design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries. Exposure to Snowflake would be ab added advantage Experience with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success. Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft Azure Good knowledge/expertise on different versions of .Microsoft Sql Server 2008, 2012, 2016, 2017, 2020

Role Objective - We are currently seeking a Lead - BI Analytics to contribute to Analytics & BI Development process. This is a hands-on technical and Individual Contributor role. This position requires that the candidate be a skilled on Advance Excel, SQL, Python and support on Reporting and Analytics applications. The candidate needs to have strong technical knowledge and be very structured and analytical in his/her approach. Essential Duties and Responsibilities - Primary responsibility involves advanced SQL and advanced Excel report design and development. Publishing and scheduling SSIS\SSRS report as per the business requirements. Will be responsible for END TO END BI & Visualization solutions development and projects delivery across multiple clients. Drive the development and analysis of data, reporting automation, Dash boarding, and business intelligence programs. Would be supporting in consulting engagement and should be able to articulate and architect the solution effectively to bring-in the values which data analytics & visualization solution can deliver. Good understanding of database management systems and ETL (Extract, transform, load) framework. Connecting to data sources, importing data and transforming data for Business Intelligence. Experience in using advance level calculations on the data set.Responsible for design methodology and project documentation. Able to properly understand the business requirements and develop data models accordingly by taking care of the resources.Should have knowledge and experience in prototyping, designing, and requirement analysis. Qualifications - Graduate (BE-BTEC Computer science /BCA/ MCA/ MSc Computers) or have an equivalent academic qualification. Good communication Skills (both written & verbal) 2+ years experience in Reporting and Analytics with Python, SQL and excel must have prior experience on Relational Database and BI developer using SQL server, SSIS, Power BI, Tableau, Advance Excel. Skill Set: Good to have: Experience on Design and develop relational database models/schemas and Query performance tuning and write ad-hoc SQL queries. Exposure to Snowflake would be ab added advantage. Experience with advanced query design, stored procedures, views, functions. Ability to communicate with technical and business resources at many levels in a manner that supports progress and success. Understanding of Python and different libraries - Pandas, Numpy etc Exposure to Cloud Computing such as Microsoft Azure. Good knowledge/expertise on different versions of . Microsoft Sql Server 2008, 2012, 2016, 2017, 2020.

Role description Tool Development: o Design, develop, and test tool prototypes to meet project specifications. o Write and maintain high-quality code in Python, CAPL, Java, and Typescript. o Implement and integrate frameworks and middleware such as Python Pandas, NumPy, React, JavaFX, Javascript frameworks (e.g., Vue), Vector CANoe, and Codemeter. Collaboration and Integration: o Work closely with team members to ensure seamless integration and functionality of tools. o Participate in code reviews and provide constructive feedback to peers. o Collaborate with other departments to understand their tool requirements and provide effective solutions. o Work within a small team of 3 members. o Collaborate with roles such as Tool Developer and Tool Tester. CI/CD and DevOps Practices: o Implement and maintain CI/CD pipelines using tools like GIT, HTTP, Jenkins, SVN, GitLab, Kubernetes, Docker, AWS, S3, and Artifactory. o Ensure the tools are integrated into the CI/CD pipeline for automated testing and deployment. o Monitor and optimize the performance of tools in the development and production environments. Project Management: o Assign tasks and responsibilities according to different V-Modell phases. o Track project progress and ensure timely delivery of tool prototypes. o Document development processes, tool functionalities, and user guides. Continuous Improvement: o Stay updated with the latest industry trends and technologies. o Continuously improve tools based on user feedback and technological advancements. o Participate in training and professional development to enhance skills and knowledge. Quality Assurance: o Conduct thorough testing of tools to ensure they meet quality standards. o Identify and fix bugs and issues in a timely manner. o Ensure tools are reliable, efficient, and user-friendly. Support and Maintenance: o Provide ongoing support and maintenance for developed tools. o Troubleshoot and resolve issues reported by users. o Update tools to accommodate new requirements and technologies. Programming Languages: Python: Extensive experience in writing and maintaining Python code, with a strong understanding of libraries such as Pandas and NumPy for data manipulation and analysis. CAPL: Proficient in using CAPL (CAN Access Programming Language) for developing and testing automotive communication protocols. Java: Solid experience in Java programming, including the use of JavaFX for building rich client applications. Typescript: Skilled in writing and maintaining Typescript code, with a good grasp of its features and benefits over JavaScript. Frameworks and Middleware: Python Pandas and NumPy: In-depth knowledge of these libraries for data analysis and manipulation. React: Experience in building user interfaces using React, with an understanding of its component-based architecture. JavaFX: Proficient in using JavaFX for creating desktop applications with rich graphical interfaces. Javascript Frameworks (e.g., Vue): Familiarity with various JavaScript frameworks, particularly Vue, for building interactive web applications. Vector CANoe: Experience with Vector CANoe for simulation, testing, and analysis of automotive networks. Codemeter: Knowledge of Codemeter for software license management and protection. Infrastructure (CI/CD, DevOps): GIT: Proficient in using GIT for version control, including branching, merging, and resolving conflicts. HTTP: Understanding of HTTP protocols and their application in web development and API integration.

Python Developer Location: Sector-1, Noida (Work from Office) Experience: Minimum 3 years Education: B.E./B.Tech Primary Role: Responsible for performing web scraping and crawling to extract and structure data from various websites. Handle data cleaning, transformation, and storage in structured formats. Write efficient and scalable Python scripts to manage high-volume data extraction tasks. Monitor and manage log files using automation scripts. Key Skills: Proficiency in Python with hands-on experience in web scraping and crawling . Strong working knowledge of BeautifulSoup , Selenium , NumPy , Pandas , and Pytest . Good understanding of JavaScript , HTML , and SQL (preferably MS SQL ). Experience with MongoDB is an added advantage. Ability to integrate multiple data sources and databases into a single pipeline. Solid understanding of: Python threading and multiprocessing Event-driven programming Scalable and modular application design Preferred Skills: Practical experience in writing and maintaining web crawlers and scrapers . Familiarity with anti-bot mechanisms and techniques to bypass them responsibly. Exposure to handling large datasets and ensuring data accuracy and completeness. Experience with automated testing using Pytest .

ML Engineers 3-10 yrs Hybrid/ Pune 2 days WFO Time: 2-11 or 10-7 Certifications: Big plus if they are certified ML Engineers. Skills: Python, SQl is a must and need strong exp. certified candidates scikit-learn, tensorflow, pytorch Scientific python libs : Numpy, pandas, pyspark, dask, matplotlib, transformers, plotly Generative AI , Cloud (Azure) - Cloud is for Senior roles Big Data is a huge Plus people who worked with larger sets, for ex: FMCG, retail, telecom, oil and gas upstream/ downstream.

Hello Job Seekers, Greetings of the day.... We are hiring for one of our US Based company for the position Senior Python Developer . Total Years : 7+ Years Position : Permanent Notice Period : Immediate Joiner to 7 Days. Shift Timings : Night Shifts (Hybrid) (One way cab will be Provided) Location : Hyderabad. JOB DESCRIPTION : Required Skills & Experience: • At least 7 years of continuous, professional experience as a Python3 Software Engineer, developing, deploying, and maintaining production-grade applications. • Minimum 3 years of hands-on experience with at least 4 of the following Python frameworks, libraries, and tools: FastAPI, Pydantic, SQLAlchemy , Pandas, and messaging queues (e.g., Celery, Kafka, RabbitMQ). • Minimum 3 years of experience working in a Linux/Unix environment with expertise in system navigation, scripting, and troubleshooting. • Deep understanding of best practices for building scalable, high-performance, and secure software solutions. • Strong analytical, problem-solving, and debugging skills with a proven ability to diagnose and resolve complex issues efficiently. • Demonstrated commitment to continuous learning, innovation, and enhancing both individual and team performance • Extensive experience with unit and integration testing. If anyone interested in the above Position, Please share me the updated resume to rakesh.b@yochana.com

Strong programming skills in Python or R, with good knowledge in data manipulation, analysis, and visualization libraries (pandas, numpy, matplotlib, seaborn) Knowledge of machine learning techniques algorithms. FMCG industry will be preferable. Required Candidate profile Hands-on knowledge on machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Proficiency in SQL for data extraction, integration, and manipulation to analyze large datasets. Perks and benefits To be disclosed post interview

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 Master's 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: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

1. Data Architect/Data Engineer with 4-10 years of experience 2. Ability to communicate with global customers 3. Ability to gather and document the requirements and ask right questions to the stakeholders 4. Should be able in UK shift (till 11PM IST) Technical Proficiency - Databricks: Cluster types and their functionalities. Mechanisms for sharing notebooks. Understanding and usage of DBFS (Databricks File System). Explanation and use cases of widgets. Azure SQL Database: Differences between PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Concept and application of CTEs (Common Table Expressions). Python and Data Frameworks: Basic operations with Pandas DataFrames. Understanding of PySpark DataFrames and their differences from Pandas. Awareness of commonly used Python libraries and their application

MustHaveSkills 7+ years experience in developing scalable web applications Hands-on development using Python with FastAPI Front-end development using any JS Proven experience in leading a full stack development team Strong understanding of RESTful services and modern web architecture GoodToHaveSkills Cloud deployment experience AWS / Azure / GCP Hands-on with containerized solutions: Docker and Kubernetes Strong problem-solving and team collaboration abilities Please include the following details when submitting your profile to mounika.tungala@coforge.com. Current CTC Expected CTC Current Location Ready to work from office : Notice Period Only Immediate Joiners or Max 15 Days

Execute full lifecycle software development Write well designed, testable, efficient code Develop software verification plans and quality assurance procedures Document and maintain software functionality Tailor and deploy software tools, processes, and metrics Desired Skills and Experience Strong analytical skills Skilled in c,c++,java,asp,vb,python,tensor flow,keras,pandas Skilled in javascript, HTML, CSS Strong understanding of databases (RDBMS) Loves to learn new technologies and is a fast learner Be extremely customer centric. Should like going the extra mile to make the customer happy.

Expert in Python, with knowledge of at least one Python web framework such as Flask, FAST, Django etc. Knowledge and experience on using Python libraries like Numpy, Pandas, Polars, Dask. Familiarity with some ORM (Object Relational Mapper) libraries. Familiarity with Relational and/or No-SQL databases. Proficient in using editors like VS Code, Eclipse, PyCharm, PyScripter etc. Understanding of fundamental design principles behind a scalable application. Strong unit test and debugging skills. Proficient understanding of code versioning tools such as Git, Mercurial or SVN. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. Knowledge of Kafka would be a huge plus.

All Levels Comms & Media Non-Networks Join our team in Strategy consulting to find endless opportunities and solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Comms & Media, Industry Consulting, S&C Global Network (GN) I Areas of Work: Non-Networks | Level: Manager & Sr Manager | Location: Delhi, Gurgaon, Mumbai, Bangalore, Pune, Hyderabad | Years of Exp: 8- 15 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network (GN) team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This dynamic team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers. Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing.Globally, works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability.From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with client's business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role: Skills in one or more Telecom areas Should have an excellent knowledge on various BSS modules and Telco Journeys such as CRM, Order Management, Billing, Mediation, Provisioning, Collections, Channels, Customer Care, Lead to Cash etc. Digital Transformation - Proven experience in Strategy, Innovation and Digital initiatives across Digital Maturity models, CSPs Operating model, Innovation Barometers, Intelligent operations for CSPs and other related areas Cloud BSS - Determine the appropriate Cloud deployment model & design BSS journey to cloud strategies engineered to accelerate ROI and performance. Good to have knowledge of tools like AWS, Azure, SFDC, etc. Business Strategy - Leading/managing strategic initiatives and develop project plans, frame and conduct insightful analyses, identify solutions, and develop business cases and implementation plans for CSPs across the globe Transformation & Project Governance - Drive profitability and continued success though managing service quality, cost and leadership of the people delivering services across projects/ programs/portfolios of all scale Should have understanding of lean concepts and hands-on experience in delivering technology-driven business transformation projects using agile practices such as Scrum, Kanban, SAFe, etc. Experience in agile related tools like JIRA Confluence/Rally/MS Projects/VersionOne Certification profession in PSM/CSM/SAFe/ICP-ACC Skills in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters, Program Delivery Managers Business Analysis - Gather requirements from business and prepared requirement documents. Propose solutions to the client based on gap analysis for the existing Telco platforms. Analyse large data to conduct analysis and present insights with visualisations Process Improvement - Understand issues with the current processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Value Architect and Tracking - Create value driver trees to breakdown into value components of business objectives and value drivers Other required skills Communication and Presentation - Plan and deliver well-structured oral and written communications Structured Problem Solving - Help identify and structure key client challenges into hypotheses and conduct analyses to address the challenges Stakeholder Management - Manage mid-level to senior client leadership and lead conversations Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong program management skills Cross-cultural competence with an ability to thrive in a dynamic environment Qualifications Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience At least 1-15 years of progressive business and/or telecom and consulting experience Knowledge of Telco BSS/OSS stack, its various components, and interactions / flows Strong telecom industry background experience and knowledge of BSS processes for B2C and B2B areas Knowledge of telecom products across wireline, wireless and Enterprise domains eTOM certification is highly desirable Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing soft skills Experience in strategy and business/technology consulting role conversant with process improvement, cost optimization, customer analytics and experience management, telecom technology etc. Experience in value architecting, business case preparation, value realization Experience in Digital, New IT, Cloud & Core modernization, Cloud transformation processes, transforming legacy to the cloud, Agile transformation, RPA, AI/ML strategy implementation and use cases Knowledge of design thinking workshops and innovation Experience in large data analysis, data driven consulting, BI and analytics, reporting, dashboarding, visualization tools like PowerBI, Tableau Certifications like CBAP, CSM, SPC, Prince 2 or PMP will be an added advantage For Experienced candidates, experience of team Management Coach and mentor team members in projects, on asset development, BDs and overall professional development Whats in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network (GN) a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network (GN) teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, .

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting- Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore About S&C - Global Network:- Accenture Strategy & Consulting 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? Accenture has committed to invest USD 3Billion into GenAI in next 3 years. We will continually invest in your learning and growth. Youll work with Accentures highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. Youll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role AI Architecture Strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Artificial Intelligence, or a related field. 15+ years of hands-on experience in AI, with a focus on Generative AI. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. 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.

Job Title - S&C Global Network - AI - Marketing (MMM) - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Market Mix Modeling (MMM) Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. 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. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHAT'S 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. Youll 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 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 About Our Company | Accenture Qualifications Experience: 8 to 10 Years Educational Qualification: B.Com with 15 yrs edu

Job Title: Data Engineer – Snowflake & Python About the Role: We are seeking a skilled and proactive Data Developer with 3-5 years of hands-on experience in Snowflake , Python , Streamlit , and SQL , along with expertise in consuming REST APIs and working with modern ETL tools like Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling , data warehousing , and data profiling , and will play a key role in designing and implementing robust data solutions that drive business insights and innovation. Key Responsibilities: Design, develop, and maintain data pipelines and workflows using Snowflake and an ETL tool (e.g., Matillion, dbt, Fivetran, or similar). Develop data applications and dashboards using Python and Streamlit. Create and optimize complex SQL queries for data extraction, transformation, and loading. Integrate REST APIs for data access and process automation. Perform data profiling, quality checks, and troubleshooting to ensure data accuracy and integrity. Design and implement scalable and efficient data models aligned with business requirements. Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver actionable solutions. Implement best practices in data governance, security, and compliance. Required Skills and Qualifications: 3–5 years of professional experience in a data engineering or development role. Strong expertise in Snowflake , including performance tuning and warehouse optimization. Proficient in Python , including data manipulation with libraries like Pandas. Experience building web-based data tools using Streamlit . Solid understanding and experience with RESTful APIs and JSON data structures. Strong SQL skills and experience with advanced data transformation logic. Experience with an ETL tool commonly used with Snowflake (e.g., dbt , Matillion , Fivetran , Airflow ). Hands-on experience in data modeling (dimensional and normalized), data warehousing concepts , and data profiling techniques . Familiarity with version control (e.g., Git) and CI/CD processes is a plus. Preferred Qualifications: Experience working in cloud environments (AWS, Azure, or GCP). Knowledge of data governance and cataloging tools. Experience with agile methodologies and working in cross-functional teams.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- GN Data &AI CMT (Communication, Media & Technology) Title :- Ind & Func AI Value Strategy Associate Manager Job location : Bangalore / Hyderabad / Pune / Gurugram About S&C - Global Network :- Accenture 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. What's in it for you? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in CMT. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Qualifications Qualifications Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Master's degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 8 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization.

Entity:- Accenture Strategy & Consulting Team:- Global Network – Data & AI Practice:- S&C GN AI - Insurance Title:- Ind & Func AI Decision Science Sr Analyst / Analyst Job location:- Gurugram, Bengaluru About S&C - Global Network:- Accenture Global Network – Insurance Data & AI Practice helps our clients grow their business in entirely new ways. From strategy to execution, Accenture works with Property & Casualty insurers, Life & Retirement insurers, reinsurers and brokers across the value chain – from Underwriting to Claims to Servicing and Enterprise Functions – to develop analytic capabilities – from accessing and reporting on data to predictive modelling to Generative AI – that outperform the competition. We offer deep technical expertise in AI/ML tools, techniques & methods, along with strong strategy & consulting acumen and insurance domain knowledge. Our unique assets & accelerators coupled with diverse insurance insights and capabilities help us bring exceptional value to our clients. WHAT'S IN IT FOR YOU? Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accentures future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. You'll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models for different insurance problems Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and translate them into data-driven solutions that deliver insights for action and operational improvements Consume data from multiple sources and present information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide coaching to junior team-members on advanced analytical concepts Qualifications Who we are looking for? 2-4 years of experience in data-driven techniques including exploratory data analysis and data pre-processing & machine learning to solve business problems for the Insurance Industry Bachelor’s degree in mathematics, statistics, economics, computer science or related fields Strong foundation in Statistical Modeling, Machine Learning algorithms including k-means clustering, linear & logistic regression, decision trees and others Proficiency in programming languages such as Python, SQL, PySpark with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Good communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Prior experience in the Insurance industry is mandatory