2 Pycaret Jobs

Job Description for MMM Role: Management Level : Ind&Func AI Decision Science Consultant 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 Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused 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. You will work with leading financial clients, leveraging 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 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 3+ 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 Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within 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 Show more Show less

Job Type: Full time Job description: Experience of at least 3 years in developing models using Python/PySpark libraries. Experience with Databricks or Dataiku DSS (Data Science Studio) would be an added advantage. Strong experience with Scala/Python/Java and Spark is required. Strong proficiency in developing, training, and evaluating state-of-the-art machine learning models and deploying them is required. Proficiency in statistical and probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, and Clustering is needed. Proficiency in core NLP techniques such as Text Classification, Named Entity Recognition (NER), Topic Modeling, and Sentiment Analysis is required. Understanding Generative AI, Large Language Models, and Transformers would be an added advantage. Have hands-on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, and Matplotlib. Proficiency in Python and common Machine Learning frameworks such as TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML, and OpenAI is required. Experience of working in large teams and using collaboration tools like GIT, Jira, and Confluence is a must. Good understanding of any of the cloud platforms such as AWS, Azure, or GCP is required. Understanding of Commercial Pharma landscape and Patient Data/Analytics would be a huge plus. Should have an attitude of willingness to learn, accepting the challenging environment, and confidence in delivering the results within timelines.