1437 Matplotlib Jobs - Page 21

Key Responsibilities: Extract, clean, and analyze large datasets to identify patterns and trends. Develop and maintain dashboards and reports to monitor business performance. Work with cross-functional teams to improve data accuracy and accessibility. Drive data strategy, customer segmentation, and portfolio risk analysis. Contribute to AI-driven product innovations. Required skills & Qualifications: Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. Proficiency in Python for statistical modeling, and exploratory data analysis, with hands-on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn. Expert-level SQL capabilities for querying relational databases and performing data extraction and transformation. Exposure to Tableau for developing dashboards and generating business insights. Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling. Experience with machine learning, deep learning, and natural language processing (NLP) is preferred. Strong communication and storytelling skills.

Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting. Key Responsibilities Design and implement conceptual, logical, and physical data models to support analytics and reporting. Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain Python scripts for data extraction, transformation, and analysis. Collaborate with data engineers, business analysts, and stakeholders to understand data requirements. Create dashboards, reports, and visualizations to communicate findings effectively. Ensure data quality, consistency, and integrity across systems. Document data definitions, models, and analysis processes. Required Skills & Qualifications Strong experience in data modeling (ER diagrams, normalization, dimensional modeling). Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Solid understanding of SQL and relational databases. Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn). Ability to translate business requirements into technical solutions. Excellent analytical, problem-solving, and communication skills.

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

Job Title: Freelance Data Analyst Trainer (Female Only) Job Location: Hyderabad, Telangana Job Type: Freelance / On-site Job Description: We are seeking a passionate and experienced Female Freelance Data Analyst Trainer to deliver engaging and insightful training sessions to college students and aspiring professionals. The trainer will be responsible for teaching key data analytics concepts, tools, and real-world applications, helping learners build practical skills required in the industry. Key Responsibilities: Deliver structured and interactive training sessions on data analytics. Customize training modules as per the learners’ level and project needs. Assess student progress and provide constructive feedback. Stay updated with the latest industry trends and tools. Key Training Topics: Introduction to Data Analytics & Data Science Data Cleaning & Preprocessing Microsoft Excel for Data Analysis SQL for Data Retrieval Python for Data Analysis (Pandas, NumPy, Matplotlib, etc.) Data Visualization (Power BI / Tableau) Statistical Analysis & Predictive Modelling Capstone Projects / Case Studies Required Skills & Qualifications: Proven experience in Data Analytics or a related training role. Proficiency in tools like Python, Excel, SQL, Tableau/Power BI. Strong communication and presentation skills. Ability to explain complex topics in simple terms. Prior experience in teaching/training (preferred). Job Types: Full-time, Freelance Contract length: 3 months Schedule: Day shift Work Location: In person Application Deadline: 12/07/2025 Expected Start Date: 12/07/2025

AI & Automation Analyst Position Overview The AI & Automation Analyst at SingleStore is a foundational member of the Analytics, Enterprise Tech, and AI Enablement team, reporting to the head of Digital and AI Transformation. Join a high-visibility, high-impact team delivering essential AI and automation solutions as part of our new AI & Automation Center of Excellence. This role partners cross-functionally—collaborating with analytics, engineering, business, and IT teams—to design and implement initiatives that drive innovation, streamline operations, and amplify data-driven decision making. You will leverage leading AI and automation technologies to tackle complex challenges, directly supporting SingleStore's leadership in enterprise digital transformation and rapid AI adoption. Here, your work contributes to both immediate business wins and the next evolution of our operational and technical capabilities. Role and Responsibilities Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives. Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions. Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement. Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments. Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices. Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders. Uphold best practices in data privacy, regulatory compliance, and ethical AI usage. Minimum Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles. Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Strong understanding of data analysis, statistical concepts, and data visualization techniques. Familiarity with data processing tools and platforms (e.g., SQL). Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences. Experience working in collaborative, cross-functional teams. Excellent stakeholder communication and expectation management skills. Eagerness to learn and adapt in a rapidly evolving technical environment. Preferred: Experience in SaaS/subscription-based business models. Familiarity with business systems (e.g., Salesforce, Netsuite). Hands-on experience integrating AI and Automation into both modern and legacy systems. Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment. Benefits Company Wide: Technology stipend for new employees Monthly cell phone and internet stipend Health and wellness benefit In-office catered lunches (where applicable) and monthly Grubhub credit Company and team events Flexible time off and volunteer time off Stock options Country Specific (United States): Comprehensive health benefits (medical, dental, vision) 401(k) retirement plan As employees are located in many countries, some benefits may differ. SingleStore strives to provide equitable perks and benefits across our locations. About SingleStore SingleStore delivers the cloud-native database with the speed and scale to power the world's data-intensive applications. Our distributed SQL database unifies transactional and analytical workloads, empowering leaders to deliver exceptional, real-time data experiences for their customers. SingleStore is venture-backed and headquartered in San Francisco, with offices across North America, Europe, and Asia. Diversity & Inclusion We are committed to diversity and inclusion, valuing individuals who thrive on diverse teams and bring a broad range of perspectives to SingleStore. Recruitment Agencies Statement SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement with the Company.

Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting. Key Responsibilities Design and implement conceptual, logical, and physical data models to support analytics and reporting. Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain Python scripts for data extraction, transformation, and analysis. Collaborate with data engineers, business analysts, and stakeholders to understand data requirements. Create dashboards, reports, and visualizations to communicate findings effectively. Ensure data quality, consistency, and integrity across systems. Document data definitions, models, and analysis processes. Required Skills & Qualifications Strong experience in data modeling (ER diagrams, normalization, dimensional modeling). Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Solid understanding of SQL and relational databases. Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn). Ability to translate business requirements into technical solutions. Excellent analytical, problem-solving, and communication skills

Looking for a skilled and analytical Data Analyst with strong expertise in data modeling, data analysis, and Python programming. The ideal candidate will be responsible for designing data models, performing in-depth analysis, and building automated solutions to support business decision-making and reporting. Key Responsibilities Design and implement conceptual, logical, and physical data models to support analytics and reporting. Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain Python scripts for data extraction, transformation, and analysis. Collaborate with data engineers, business analysts, and stakeholders to understand data requirements. Create dashboards, reports, and visualizations to communicate findings effectively. Ensure data quality, consistency, and integrity across systems. Document data definitions, models, and analysis processes. Required Skills & Qualifications Strong experience in data modeling (ER diagrams, normalization, dimensional modeling). Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, etc.). Solid understanding of SQL and relational databases. Experience with data visualization tools (e.g., Power BI, Tableau, or matplotlib/seaborn). Ability to translate business requirements into technical solutions. Excellent analytical, problem-solving, and communication skills

Role & responsibilities Collaborate with stakeholders to clarify problem statements, narrow down the analysis scope, and use findings to improve product outcomes. Create replicable data analyses using open-source technologies, summarize findings effectively, and communicate assumptions clearly. Build data pipelines to transition ad-hoc analyses into production-ready dashboards for fellow engineers' use. Develop, deploy, and maintain metrics, applications, and tools to empower engineers to access and utilize data insights independently. Write well-structured and thoroughly tested code, ensuring maintainability and scalability for future enhancements. Stay updated on relevant technologies and propose new ones for team adoption.

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 Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. 15 years full time education

CTC -10-12LPA Job Title: GenAI Developer & Data Scientist – Azure | NLP | MLOps Location: Pune (WHO) Experience: 3-5 Years Role Overview: We are seeking a skilled GenAI Developer / Data Scientist with strong experience in Python, Azure, AI/ML , and modern NLP & Deep Learning techniques . This role is ideal for someone passionate about end-to-end AI solution delivery , model development, and integration using cutting-edge tools like Azure OpenAI, FastAPI, PyTorch, and MLOps frameworks . Key Responsibilities: Research, develop, and optimize AI models (ML/DL/NLP). Design and deploy data pipelines and AI workflows. Build solutions using Prompt Engineering , GPT-based models , and Vector Search . Implement and monitor ML models using MLOps best practices . Collaborate across teams to integrate AI components into applications. Must-Have Proficiency In: Programming/Frameworks: Python, R, FastAPI, React (Azure UI Search API) Cloud & Tools: Azure Cloud, Azure DevOps, GitLab Pipelines, Ansible, REX Databases/ETL: Cosmos DB (Mongo API), Azure Data Factory, Databricks AI/ML: Supervised/Unsupervised Learning NLP, Deep Learning (RNN, Transformers) Prompt Engineering & Modern Testing PyTorch, MLOps frameworks Deployment: Model deployment & monitoring processes Expert-Level Candidates Should Also Have: Experience with Azure OpenAI , GPT models (4o/4/3) , embeddings, vector search Deep expertise in ML algorithms (incl. reinforcement learning) Strong foundation in math/stats (linear algebra, calculus, probability, statistics) Frameworks: TensorFlow, PyTorch Data tools: Pandas, NumPy, SQL, Spark, Hive Visualization: Matplotlib, Seaborn, Tableau AI-driven analytics and decision systems

Help Build the AI Engine for a Greener Future Position: AI & Data Intern – Programming, Automation & Sustainability 📍 Location: On-site (Delhi NCR) 🕒 Duration: Minimum 3 months (extendable to 6 months) 💰 Stipend Provided | 📜 Certificate | 🚀 Pre-Placement Offer Opportunity About Novasensa Novasensa is a deep-tech sustainability company working at the cutting edge of lithium-ion battery and e-waste recycling. Our in-house technologies extract valuable metals from used electronics—supporting clean energy, circular economy, and India’s mineral self-reliance. We’re now building a custom AI Assistant to automate experiments, analyze lab data, and support decision-making across our operations. You’ll join our R&D team to help shape this tool and apply your programming skills to real sustainability challenges. Why This Internship Use your Python and data skills on a real-world AI system Learn how AI can accelerate clean-tech innovation Get mentorship from a startup team working at the intersection of sustainability, engineering, and software Gain experience in automation, data visualization, and semantic search Your work will contribute to India’s green growth and circular economy mission What You’ll Work On As an AI & Data Intern , you’ll support development and testing of our internal AI tools. You don’t need to be an expert—we’ll help you learn as you build. Programming & Automation Write Python scripts to clean, organize, and process experimental data Automate repetitive R&D tasks like documentation or calculations Help build backend tools for experiment tracking and analysis Data Analysis & Visualization Analyze lab results and generate visual summaries Use Excel, Python (Pandas, Matplotlib), or Streamlit to build dashboards Track patterns and insights from recycling experiments AI Assistant Development (with guidance) Help with document parsing and semantic search Learn how LangChain, OpenAI, and vector databases (like Pinecone) work Test and improve the performance of our AI assistant using real lab data Who We’re Looking For We’re looking for curious, motivated learners who want to apply their coding and data skills to real sustainability work. Must-Have Basic to intermediate Python programming skills Understanding of data structures, functions, and file handling Familiarity with data visualization (Matplotlib, Seaborn, Excel, etc.) Interest in AI and willingness to learn new tools Good to Have Exposure to AI tools like OpenAI, LangChain, or vector search (even at beginner level) Experience with data cleaning and automation Interest in clean energy, recycling, or sustainability Education Background Candidates should be pursuing or recently completed any of the following degrees: B.Tech / B.E. / M.Tech in: Computer Science Data Science / AI / ML B.Sc / M.Sc in: Computer Science Statistics Mathematics What Past Interns Say“Novasensa is one of the few startups in India where you’re building deep-tech from first principles—with a real mission. I got to code, test, and deploy modules that are now part of the AI system used daily by the team. It changed how I think about software’s role in sustainability.”— Karthik M., BITS Pilani, Summer Intern 2024 How to Apply Email hr@novasensa.com with: • Your resume (PDF) • A short note (max 300 words) telling us: • Why you want to intern at Novasensa • What you’re hoping to learn and contribute 🗓 Applications are reviewed on a rolling basis. Early applicants are preferred. 🌍 Learn. Build. Impact. Join us to use your code for a cleaner planet.

Title: Business Title: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Function: CGSC Finance Name: Global Reporting & Analytics Role: Senior Analyst - Data Analytics and Reporting Reporting to: Team Manager Location: Hyderabad Shift Timings: Business dependent Role Overview: The ideal candidate will combine deep knowledge of finance operations (specifically Payables and SAP FICO) with technical proficiency in Power Platform (Power BI, Power Apps, Power Automate), SQL, Azure, SharePoint, Excel Macros, MS Access database management and Python. This role will be instrumental in driving automation, analytics, and insights to improve financial reporting, compliance, and operational efficiency. Key Responsibilities : · Providing Strategic, Analytic & Reporting support to Global Service Centers and Payables across regions. · MIS reporting for Accounts Payable processes including vendor payments, ageing analysis, GR/IR and payment forecast reports and compliance metrics. · Develop and deploy automated dashboards and reports using Power BI and SQL for internal stakeholders and auditors to bring some clarity to complex AP data. · Automate finance workflows using Power Automate and Excel VBA/Macros —think reconciliation, reminders, and reporting. Explore opportunities to automate the manual processes. · Leverage SAP FICO for reporting, audit trails, and transaction analysis. Identify, analyze, and interpret trends or patterns in complex data sets. Transform data using Python and SQL for reporting. · Manage data pipelines through Azure Data Services , integrating inputs from SAP, Excel, and cloud databases. · Use Python for automation : bulk file processing, vendor statement reconciliation, and email/report workflows automation. • Competent in Analysis & Judgment, Customer Relationship Management, BI tools & Microsoft Suite. Should have sufficient Procure to Pay knowledge. Partner with Procurement, Supply Chain, IT, and Treasury teams to ensure data consistency and reporting alignment. • Manage, coach and develop team members • Explore and implement continuous improvement with an owner’s mind-set. • Accountable for managing the Supplier Payments database for entire organization and provide Strategic, Analytic & Reporting support to Global Service Centers and P2P across regions. Key Requirements: Education & Experience: Bachelor’s or Master’s degree in Finance, Accounting, or a related field. 6–10 years of relevant experience in Finance MIS or AP analytics roles. Strong working knowledge of SAP FICO – especially AP-related T-codes and tables. Knowledge of ERP system, statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS etc) is preferable. Technical Skills: Strong Knowledge on reporting packages [Business objects] Advanced Excel with hands-on experience in VBA/macros . Proficiency in Power BI , Power Automate , and Power Apps . Strong SQL scripting and experience in working with relational databases. Exposure to Microsoft Azure (Data Factory, Synapse, or Logic Apps) is highly desirable. Experience in data modeling, cleansing , and performance tuning for large datasets. Python for data analysis and automation (e.g., pandas, matplotlib, openpyxl) Soft Skills: Strong analytical mindset and attention to detail. Effective communication and ability to collaborate with cross-functional teams. Proactive problem-solver with a process improvement orientation. Ability to manage deadlines and prioritize in a fast-paced environment Preferred Certifications (Optional but a plus): Microsoft Certified: Power Platform Fundamentals or Data Analyst Associate SAP FICO Certification Azure Data Fundamentals

Job Title: Freelance Data Analyst Trainer (Female Only) Job Location: Hyderabad, Telangana Job Type: Freelance / On-site Job Description: We are seeking a passionate and experienced Female Freelance Data Analyst Trainer to deliver engaging and insightful training sessions to college students and aspiring professionals. The trainer will be responsible for teaching key data analytics concepts, tools, and real-world applications, helping learners build practical skills required in the industry. Key Responsibilities: Deliver structured and interactive training sessions on data analytics. Customize training modules as per the learners’ level and project needs. Assess student progress and provide constructive feedback. Stay updated with the latest industry trends and tools. Key Training Topics: Introduction to Data Analytics & Data Science Data Cleaning & Preprocessing Microsoft Excel for Data Analysis SQL for Data Retrieval Python for Data Analysis (Pandas, NumPy, Matplotlib, etc.) Data Visualization (Power BI / Tableau) Statistical Analysis & Predictive Modelling Capstone Projects / Case Studies Required Skills & Qualifications: Proven experience in Data Analytics or a related training role. Proficiency in tools like Python, Excel, SQL, Tableau/Power BI. Strong communication and presentation skills. Ability to explain complex topics in simple terms. Prior experience in teaching/training (preferred). Job Types: Full-time, Freelance Contract length: 3 months Schedule: Day shift Work Location: In person Application Deadline: 12/07/2025 Expected Start Date: 12/07/2025

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Your Impact As a Data Science Analyst, you will work with the Insights & Analytics group and consulting teams at McKinsey helping solve analytically complex client problems in the marketing domain, applying and administrating analytical/modeling tools and techniques and drawing insights through statistical techniques and predictive modeling. The primary role of the Analyst will be client service with additional responsibilities in knowledge development. Your key activities as the Analyst will include: Performing general statistical analysis and modeling in client engagements for marketing efforts Developing statistical models to measure and optimize pricing and promotions Providing guidance to teams on analytics projects related to technique/modeling related issues Supporting development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects Coaching and mentoring new hires by sharing business, functional and technical expertise Delivering high quality end products on time and performing quality checks wherever required You’ll work with Growth, Marketing & Sales team in Gurgaon/Bengaluru primarily supporting the Insights & Analytics (IA) group of GM&S. Growth, Marketing & Sales team leverages decades of McKinsey’s marketing and sales experience helping leading companies improve pricing, promotion, assortments, and performance management. They use combination of software, tailored services, and expertise provides our clients with a granular view of their commercial and financial performance by gathering and integrating their landscape of data and information into a central data warehouse. Clients can use our intuitive interface to make decisions based on advanced analytics and can embed new pricing, commercial, and performance management capabilities throughout their organization. GM&S Solutions fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for – and expands our investment in – our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey. As one of the fastest-growing parts of our firm, McKinsey Solutions has more than 1,000 dedicated professionals (including more than 800 analysts and data scientists) and we’re hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers. Your Qualifications and Skills Bachelor’s or master’s degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields 2+ years of deep technical experience in advanced analytics, statistics, and machine learning Hands-on experience in building, training, and optimizing predictive models, with the ability to interpret and evaluate results Knowledge of hypothesis testing and experimental designs (e.g., A/B testing) is preferred, as these are often used for investigations and recommendations Advanced expertise in Python, with strong command over key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus Proven ability to work efficiently with large datasets, including tasks such as data cleaning, transformation (feature engineering), and analysis, while ensuring data quality and integrity Proficiency in SQL, with the ability to write intermediate-level queries for data extraction and transformation Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git, is highly desirable Intermediate expertise in Excel, not only for presenting outputs but also for building basic models to support scenario analysis and decision-making Excellent presentation and communication abilities, with the capacity to explain complex analytical concepts and insights to both technical and non-technical audiences

About the Role: We are looking for a detail-oriented and motivated Data Analytics Intern to join our team. As an intern, you will gain hands-on experience in data collection, cleaning, analysis, and visualization. You will work closely with our analytics and business teams to derive actionable insights that support decision-making and business strategy. Key Responsibilities: Collect, clean, and preprocess data from various sources Perform exploratory data analysis (EDA) to identify trends and patterns Create visualizations and dashboards using tools like Excel, Power BI, or Tableau Assist in generating reports and presentations for stakeholders Support data-driven decision-making processes across departments Collaborate with the data team on predictive models and automation tasks Document findings and present insights clearly to both technical and non-technical audiences ✅ Key Skills Required: Technical Skills: Proficiency in Microsoft Excel (formulas, pivot tables, charts) Basic knowledge of SQL for querying databases Understanding of Python or R (especially libraries like pandas, NumPy, matplotlib, seaborn) Experience with data visualization tools (Power BI / Tableau / Google Data Studio) Knowledge of statistics and basic data modeling Soft Skills: Strong analytical and problem-solving abilities Attention to detail and accuracy Excellent verbal and written communication Ability to work independently and in a team Curiosity and a willingness to learn new tools and techniques Terms & Conditions : It was a Paid job where you need to pay your first 3 & half month of salary with 20k advance remaining you can pay later after job confirmation.

About KnowBe4 KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day. Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work. Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4. Please submit your resume in English. Are you a forward-thinking data scientist, poised to lead with innovation? At KnowBe4, you'll be able to shape a career as distinctive as your expertise, supported by our global reach, inclusive ethos, and cutting-edge technology. As a Data Scientist, you'll be at the forefront of crafting impactful, data-driven solutions, collaborating with talented teams in a dynamic, fast-paced environment. Join us in creating an extraordinary path for your professional growth and making a meaningful impact in the working world. Data scientists design data modeling processes, create algorithms and predictive models to be used by software engineers for developing new and exciting products for KnowBe4’s customers, alongside other engineers in a fast-paced, agile development environment. Responsibilities Research, design, and implement Machine Learning, Deep Learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizationsPerforms statistical analysis and using results to improve models Identify opportunities and formulate data science / machine learning projects to optimize business impact Serve as a subject matter expert in data science and analytics research, and adopt the new tooling and methodologies in Knowbe4 Manage the release, maintenance, and enhancement of machine learning solutions in a production environment via multiple deployment options such as APIs, embedded software, or stand-alone applications Advise various teams on Machine Learn Practices and ensure the highest quality and compliance standards for ML deployments Design and develop cyber security awareness products and features using Generative AI, machine learning, deep learning, and other data ecosystem technologies. Collaborate with cross-functional teams to identify data-related requirements, design appropriate NLP experiments, and conduct in-depth analyses to derive actionable insights from unstructured data sources. Staying updated with the latest advancements in machine learning, deep learning, and generative AI through self-learning and professional development. Research, design, and implement Machine Learning, Deep Learning algorithms to solve complex problems Communicate complex concepts and statistical models to non-technical audiences through data visualizationsPerforms statistical analysis and using results to improve models Identify opportunities and formulate data science / machine learning projects to optimize business impact Serve as a subject matter expert in data science and analytics research, and adopt the new tooling and methodologies in Knowbe4 Manage the release, maintenance, and enhancement of machine learning solutions in a production environment via multiple deployment options such as APIs, embedded software, or stand-alone applications Advise various teams on Machine Learn Practices and ensure the highest quality and compliance standards for ML deployments Requirements BS or equivalent plus 10 years experience MS or equivalent plus 5 years experience Ph.D. or equivalent plus 4 years experience Expertise working experience with programming languages like Python, R, and SQL Solid understanding of statistics, probability, and machine learning 10+ years of relevant experience in designing ML/DL/GenAI systems Expertise in rolling out Generative AI SAAS product and features. Expertise in AWS ecosystem. Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction. Strong understanding and practical experience with deep learning frameworks such as TensorFlow or PyTorch. Ability to design, train, and optimize deep neural networks for various tasks like image recognition, natural language processing, and recommendation systems. Knowledge and experience in generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Ability to create and use generative models for tasks such as image generation, text generation, and data synthesis. Exposure to LLMs, Transformers, and a few technologies like Langchain, Llamaindex, Pinecone, Sagemaker Jumpstart, Chatgpt, AWS Bedrock, and VertexAI. Strong data manipulation skills, including data cleaning, preprocessing, and feature engineering. Experience with data manipulation libraries like Pandas. Ability to create compelling data visualizations using tools like Matplotlib or Seaborn to communicate insights effectively. Proficiency in NLP techniques for text analysis, sentiment analysis, entity recognition, and topic modeling. Strong understanding of data classification, sensitivity, PII, and personal data modeling techniques Experience in model evaluation and validation techniques, including cross-validation, hyperparameter tuning, and performance metrics selection. Proficiency in version control systems like Git for tracking and managing code changes. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Ability to work collaboratively in cross-functional teams. Excellent problem-solving skills to identify business challenges and devise data-driven solutions. Nice To Have Experience in designing data pipelines and products for real-world applications Experience with modern/emerging scalable computing platforms and languages (e.g. Spark) Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks for handling large datasets. Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, certification completion bonuses, and a relaxed dress code - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits. Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. No recruitment agencies, please.

Join us as a Data Scientist Are you ready to embark on an exciting journey of discovery, insights and innovation in the data science space? You’ll be working at the intersection of analytics and engineering to uncover valuable insights hidden within our data With an abundance of data at your fingertips along with cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work If you have the desire and tenacity to embark on a steep learning curve in an exciting and rapidly evolving field, apply now We're offering this role at associate vice president level What you'll do As a Data Scientist, you’ll combine human insight and perspective with modern data science tools to gain an unparalleled understanding of our customers, and far more powerful predictive targeting and modelling. Day To Day, You’ll Be Working closely with your stakeholders to understand their needs, define pain points, and identify opportunities to solve them through advanced analytics Developing hypotheses and articulating what data needs to be collected, which analyses to run, and the approach that will deliver the most value Using predictive analytics and artificial intelligence (AI) to extract insights from big data, including machine learning (ML) models, natural language processing (NLP), and deep learning (DL) Building, training and monitoring ML models and writing programs that automate data collection, data processing, model building and model deployment Bringing solutions and opportunities to life through Clearly conveying the meaning of results, bringing them to life through impactful data visualisation and storytelling Providing actionable insights to decision-makers and stakeholders at every level of technical understanding The skills you'll need If you have an aptitude for advanced mathematics and statistics and you're curious about the evolving role of data in shaping the next generation of financial services, this could be the job for you. You’ll Demonstrate Strong programming skills in Python and SQL, with a solid foundation in statistics, machine learning, data preprocessing, and data visualization using tools like Matplotlib, Seaborn, and Plotly Hands-on experience with large language models like OpenAI, Hugging Face, prompt engineering, and familiarity with agentic frameworks such as LangChain or AutoGen Skilled in deploying models and working with cloud platforms like AWS, GCP, or Azure, with strong analytical thinking and the ability to communicate insights effectively Knowledge of statistical modelling and ML techniques Proficiency in Tableau or another data visualisation tool

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 : 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