6 Pycaret Jobs

The role of S&C Global Network - AI - Marketing Analytics (MMM) Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Analytics practice, you will collaborate with a global network of colleagues skilled in leading statistical tools and applications. From data analysis to actionable insights, you will provide issue-based recommendations to help clients achieve high performance. Accenture is committed to investing in your learning and growth, supporting you in expanding your tech stack and certifications. In Applied Intelligence, you will execute projects in the context of business performance improvement initiatives, emphasizing sound analytical decision-making. Responsibilities include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. The ideal candidate will have relevant experience in the domain, strong analytical and problem-solving skills, and the ability to thrive in a dynamic environment. In this role, you will be responsible for defining data requirements, cleaning and analyzing data, and developing AI/ML models. You should have at least 3 years of experience in Market Mix Modeling, proficiency in Statistical and Probabilistic methods, and hands-on experience with Python data science libraries. Additionally, you will work on developing and managing data pipelines, leveraging machine learning architectures, and deploying marketing mix models on cloud platforms. The desired candidate should have knowledge of SQL and cloud-based technologies, expertise in Market mix modeling techniques, and experience in data migration from cloud to Snowflake. Understanding of econometric/statistical modeling, machine learning algorithms, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential requirements. This role offers the opportunity to work on innovative projects, grow your career, and gain leadership exposure. If you have 8 to 10 years of experience and a B.Com educational qualification, and if you possess the mentioned skills and expertise, we are looking for you to join our team at Accenture.,

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

SDET – QA Automation Engineer, Benchmark & Index Management Key Functions: As a SDET – QA Automation Engineer in Benchmark & Index Management the individual will be responsible for the Automation of Quality Assurance (QA) through a variety of test strategies for business-critical applications, developing high-quality test software. The candidate will have experience in automated testing solutions for business problems that involve complex User Interfaces, data intensive operations and process hand-offs, and will be required to provide technical expertise, ownership and responsibility in the end-to-end software delivery cycle. Key Responsibilities: Contributes and leads testing through high-quality functional and automation test scenarios Identifies, prioritises, and performs tasks in the software development lifecycle Develops tools and applications required for automation by producing clean, efficient and scalable code utilising Python-based test frameworks Automate tSQL Stored Procedure regression, component and unit tests using tSQLt and pytest Utilise Generative AI and Machine Learning to validate and detect anomalous data, predict inefficient processes and implement automatic test case generation Perform database and process performance testing using a combination of benchmarking frameworks and AI-based anomaly and drift detection Advocate for and implement engineering guidelines for excellence, including automation, code reviews, and continuous integration/continuous delivery (CI/CD) Ensures high quality, reliable products through the implementation of automated regression test frameworks Collaborates closely with business and engineering partners to deliver products, services, enhancements and solutions to meet customer needs and align with goals of the business and engineering lines Communicates with clarity, precision, and influence, presenting complex information in a clear and concise format that is appropriate for the audience Drive a culture of engineering excellence through mentorship, peer reviews, and promoting standard methodologies in software automation testing Continuously evaluate and enhance QA processes to improve efficiency, reduce cycle times and enhance overall product quality Experience & Skills: Over 5+ years proven experience as a Software Developer in Test, designing, implementing and recording test results through automation in large-scale data intensive platforms Strong experience in test case design, performing automation testing using python frameworks Proficiency in QA and Test Automation suites and technologies (e.g. pytest, pandas) Significant experience of MS-SQL or PostgreSQL, including data analysis, setup and execution of test scripts (e.g. Liquibase, Flyway) Proficiency in Python (C# .NET or Java experience useful), required for analysis and automation of test scenarios Experience using AI/ML and Data Science technologies (e.g. scikit-learn, TensorFlow, PyCaret, etc) for anomaly detection Familiarity with performance, security and other non-functional testing approaches (e.g. JMeter, Apache Benchmark, k6, SQL Profiler etc) Prior experience of automating the business logic embedded in the back-end and middleware on C#.net / SQL Server with front end on Angular / Silverlight Solid understanding of AWS cloud technologies, particularly AWS EC2, preferable knowledge of AWS Native services such as EKS, Lambda, etc. Proven ability to deliver high-quality, maintainable code and systems. Extensive experience in software engineering principles, CI/CD tools and automation processes Strong analytical skills and a problem-solving mentality Some experience of Business and Technical Analysis, Delivery Management, and/or Emerging Technology and Governance Experience working in an agile environment with a focus on collaboration, automation, and continuous improvement Experience with Financial Markets in Equities and / or Fixed Income Key Attributes: Articulate, energetic person able to work alone or as part of a team Excellent attention to detail but an ability to think laterally to solve business problems Excellent interpersonal skills, both written and verbal, with the ability to work effectively with both technical and non-technical collaborators A passion for continuous learning and improving software engineering practices Ability to learn quickly, work under pressure and to tight deadlines Demonstrated ability to mentor and grow junior engineers Creative, results driven, self-motivated and solutions oriented Demonstrates a can-do attitude, exhibits self-confidence LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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

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

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