205 Random Forest Jobs - Page 5

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Corporate Function – Data Science Designation: AI Scientist Desired Experience: 0-3 Year Required Educational Qualification : PhD/ M.Tech / B.Tech with relevant experience from Tier 1 Campus As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in/

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Roles and responsibilities: Create effective Powerpoint presentations Be able to lead present in client discussions on Projects Drive process excellence across assigned projects Lead and mentor projects from ideation to implementation, leveraging solutions ranging from Excel to machine learning. Champion continuous improvement through Kaizen events. Communicate effectively with senior stakeholders, providing regular project updates. Conduct process audits and implement risk management strategies. Technical and Functional Skills: Bachelors Degree with 3+ years of experience in understanding & implementation of LEAN Six Sigma methodologies like DMAIC, DMADV (Six sigma green belt certified) Excellent Communication & Presentation Skills (written & verbal) Excellent with creating Powerpoint presentations Understanding of risk management and quality tools (FMEA, Fishbone, 7 QC Tools, MP tools) Strong interpersonal skills and a collaborative mindset Proficiency in Microsoft Excel

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

At EY, you will have the opportunity to shape a career that reflects your uniqueness, supported by a global network, inclusive environment, and cutting-edge technology to help you reach your full potential. Your individual voice and perspective are vital in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also play a part in building a better working world for everyone. EY GDS's Tax Innovation, Solutions, and Technology (IST) group, along with the Tax Tech Transformation (TTT) team, is dedicated to developing, implementing, and integrating innovative technology solutions that cater better to our clients and engagement teams. As a member of EY's core Tax practice, you will gain in-depth tax technical knowledge and excel in database management, data analytics, and programming skills. The ever-evolving regulatory landscape demands tax departments to handle a vast amount of data more efficiently. Gathering, organizing, and analyzing data to meet complex regulations often involves data from various systems and departments within an organization. Managing this diverse and extensive data can be a significant challenge for companies. As part of EY's GDS IST and TTT teams, you will collaborate closely with partners, clients, and tax experts to develop and integrate technology solutions that enhance value, streamline processes, and equip clients with cutting-edge tools to support their tax needs. Your role will involve applying machine learning techniques to derive actionable insights, coding in Python and R, managing the end-to-end model development process, and designing systems to process large datasets for machine learning applications. You will also work on statistical methods, simulation models, and engage with stakeholders to understand business requirements and present solutions effectively. To excel in this position, you should have at least 2 years of overall experience, with hands-on expertise in Machine Learning and Artificial Intelligence tools like neural networks, deep learning, and regression. Proficiency in programming languages such as R and Python, along with experience in end-to-end ML projects, is essential. A Master's degree in Statistics/Mathematics or a Bachelor's/Master's degree in Science/Engineering/MCA is required for this role. Additionally, exposure to cloud platforms like Azure or AWS and strong communication skills are desirable qualities. EY offers a dynamic and global work environment where you can collaborate with diverse teams on exciting projects, develop new skills, and contribute to building a better working world. Join us at EY and be part of a forward-thinking team that values commercial acumen, technical expertise, and a passion for continuous learning in a fast-paced setting. You will have the opportunity to work with leading businesses across various industries and contribute to EY's mission of creating a better working world through trust, innovation, and inclusive practices.,

Role & responsibilities Highly focused individual with self-driven attitude Problem solving and logical thinking to automate and improve internal processes Using various tools such as SQL and Python for managing the various requirements for different data asset projects. Ability to diligently involve in activities like Data Cleaning, Retrieval, Manipulation, Analytics and Reporting Using data science and statistical techniques to build machine learning models and deal with textual data. Keep up-to-date knowledge of the industry and related markets Ability to multitask, prioritize, and manage time efficiently Understand needs of the hiring organization or client in order to target solutions to their benefit Advanced speaking and writing skills for effective communication Ability to work in cross functional teams demonstrating high level of commitment and coordination Attention to details and commitment to accuracy for the desired deliverable Should demonstrate and develop a sense of ownership towards the assigned task Ability to keep sensitive business information confidential Contribute, positively and extensively towards building the organizational reputation, brand and operational excellence Preferred candidate profile 3-6 years of relevant experience in data science Advanced knowledge of statistics and basics of machine learning Experienced in dealing with textual data and using natural language processing techniques Ability to conduct analysis to extract actionable insights Technical skills in Python (Numpy, Pandas, NLTK, transformers, Spacy), SQL and other programming languages for dealing with large datasets Experienced in data cleaning, manipulation, feature engineering and building models Experienced in the end-to-end development of a data science project Strong interpersonal skills and extremely resourceful Proven ability to complete assigned task according to the outlined scope and timeline Good language, communication and writing skills in English Expertise in using tools like MS Office, PowerPoint, Excel and Word Graduate or Post-graduate from a reputed college or university

Role Title: Manager, Cross Platform Strategy Analytics (09) Synchrony is a premier consumer financial services company that provides a complete digitally enabled product suite across various industries. Recognized as one of India's Best Companies to Work for and a leader in fostering a culture of innovation, we are committed to diversity and providing our employees with flexibility, choice, and top-notch benefits. As a Manager in the Cross Platform Strategy Analytics team within the India Analytics Hub, you will play an integral role as an individual contributor. Your primary focus will be on leveraging data and analytical tools to deliver solutions that enhance customer experience and drive business growth. You will be responsible for understanding business requirements, developing prototypes, and generating actionable insights to support Synchrony's growth and profitability. Key Responsibilities: - Independently solve a variety of problems using your expertise in Data and Analytical Tools - Collaborate on cross-platform initiatives and develop scalable solutions - Partner on strategic ideas and proof of concepts to drive revenue growth - Ensure timely delivery, accuracy, and documentation in alignment with Audit Procedures - Mentor and guide team members on tools and processes Required Skills/Knowledge: - BS or MS in Statistics, Economics, Mathematics, or a related quantitative field with 2+ years of hands-on Analytics experience - Proficiency in SQL, SAS, Tableau, or Open Source Tools with the ability to independently build queries for data extraction and aggregation - Understanding of key concepts in Retail Finance and the ability to translate them into quantitative attributes - Capability to define methodology, present insights, and influence decision-making Desired Skills/Knowledge: - 2+ years of analytics/data science experience in the Financial Services Industry - Proficiency in Python and R, preferably in a Linux-based cloud environment like AWS - Knowledge of multivariable calculus, linear algebra, and ML methods such as k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria: - BS or MS in Statistics, Economics, Mathematics, or a related quantitative field with 2+ years of hands-on Analytics experience - Flexible Shifts For Internal Applicants: - Understand the criteria and mandatory skills required for the role before applying - Inform your Manager or HRM before applying for any role on Workday - Ensure your Professional Profile is updated and upload your updated resume - Not under any corrective action plan - L4 to L7 Employees who have completed 12 months in the organization and 12 months in the current role are eligible - L8+ Employees who have completed 18 months in the organization and 12 months in the current role are eligible - L4+ employees can apply Grade/Level: 09 Join our dynamic team to drive innovation and growth through data-driven strategies in the Data Analytics domain.,

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by deriving valuable insights from data and effectively communicating your findings to various stakeholders. Your primary responsibilities will involve analyzing data using mathematical, statistical, and machine learning techniques to create actionable insights that drive data-driven decision making within the organization. Your key contributions will include formulating hypotheses, testing them through statistical modeling, and identifying trends or patterns that can be used to develop custom models or prototypes. You will collaborate with cross-functional teams to implement these models, monitor their performance, and ensure data accuracy throughout the process. In addition to your quantitative skillset and experience in statistics, you will leverage your knowledge of statistical programming languages such as R, Python, and SQL to process and gain insights from data. Your expertise in machine learning techniques, advanced statistical concepts, and data mining will be essential in developing analytics models that support decision-making processes. Furthermore, you will be responsible for exploring and experimenting with data visualization tools to effectively showcase data to stakeholders. Your ability to evaluate the need for analytics, select appropriate techniques, and generate valuable insights will be critical in driving innovation and maximizing value within the Data & Analytics function. As a strategic advisor, you will lead data science engagements, shape the organization's data science capabilities, and define internal standards for application development. Your role will involve designing enterprise-level data science applications, recommending suitable tools and technologies, and promoting responsible AI adoption within the organization. In summary, as a Senior Data Scientist at Mondelz International, you will be at the forefront of data-driven decision making, leading data science projects from concept to deployment, and driving innovation through the application of advanced analytics techniques. If you are ready to contribute your expertise and accelerate your career in the field of data science, we invite you to join our mission to lead the future of snacking at Mondelz International.,

As a member of the R&A COE team at EY, you will be part of a dynamic group working on various Data Science and Machine Learning projects. Your role will involve utilizing your experience in data science projects and demonstrating advanced programming skills in SAS, R, or Python. You will be expected to independently understand and address data science problems using techniques such as linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, time series modeling, segmentation, decision tree, clustering, recommendation engines, and forecasting. In this position, you will collaborate with a diverse team to contribute to Decision Sciences implementation projects. Your responsibilities will include developing analytical strategies for businesses, communicating with onsite coordinators, and presenting model results to clients. Timely completion of assigned tasks and regular status reporting will be essential components of your role. To be successful in this role, you should hold a degree in BE/BTech/MCA/MBA/CA with 0-3 years of experience in Information Management/Analytics. Having an understanding of Business Intelligence & Data Visualization concepts and experience with BI/Visualization tools will be advantageous. Additionally, you should possess excellent communication skills, a collaborative mindset, and a familiarity with software development best practices. If you have a background in the Banking/Finance domain, prior experience in client-facing roles, and strong written and verbal communication skills, it will be considered as additional assets. By joining EY, you will be part of a global organization dedicated to building a better working world through innovation, collaboration, and a commitment to creating value for clients, society, and the planet.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

Job Title: Senior Data Scientist Location: Kolkata/Bangalore (Remote/Hybrid options available) Company: Inxite-out Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. This role will involve leading data science initiatives, developing advanced machine learning models, and providing actionable insights for business strategies. The ideal candidate will have a strong background in data science, statistical analysis, and business problem-solving, with a passion for delivering high-quality solutions. Key Responsibilities & Skills: Lead the development of advanced predictive and prescriptive models using machine learning, forecasting and other statistical methods Working knowledge of regression, classification, clustering, association algorithms and model optimization techniques Work closely with business stakeholders to understand requirements and translate them into data science solutions Design and implement end-to-end data science workflows, including data collection, preprocessing, feature engineering, model building, and evaluation Collaborate with cross-functional teams to deploy and integrate models into production environments Perform model validation, fine-tuning, and optimization to ensure accuracy and scalability Identify and investigate anomalies or unexpected behaviours in model outputs Build REST APIs using Fast/Flask, move models into production, ensure expected accuracies and throughput for the model Mentor and guide junior data scientists, providing technical expertise and leadership Qualifications: Bachelors or master’s in computer science, Statistics, Mathematics, Engineering, or a related field 4+ years of experience in data science or a similar analytical role, with a proven track record of delivering impactful projects Strong proficiency in python with experience in libraries like pandas, NumPy, Spacy, TensorFlow, Scikit-learn etc. Experience in working with cloud platforms (Azure), Databricks, PySpark Strong theoretical and practical knowledge of ML model development, hyper-parameter tuning, and production deployment Solid understanding of statistical analysis, data mining, feature engineering Strong problem-solving skills with the ability to think critically and adapt to complex business challenges Excellent communication skills with the ability to explain complex data-driven concepts to a non-technical audience Experience in leading and mentoring junior team members. Strong understanding of MLOps- lifecycle of a machine learning model Additional Skills (good to have): Knowledge of deep learning, CNN, MLP, OpenCV etc. Working knowledge of NLP/GenAI based solutions Experience working with SAP (S/4 HANA, BW) is a plus

As a Data Scientist, you will be responsible for building cutting-edge models using NLP, ML, and AI techniques to solve a variety of problems across different domains. Your main tasks will include working closely with the engineering team to deploy models in production, validating the models, and ensuring their effectiveness. You should possess expert-level knowledge in Natural Language Processing, Information Extraction, Scraping, and Text Mining Algorithms, as well as a strong familiarity with deep learning methods for text analytics. Proficiency in Machine Learning algorithms such as XGBoost, Linear Regression, Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, and Reinforcement Learning is essential for this role. Additionally, experience in time series analysis with real-world datasets, familiarity with technologies like Flask, FastAPI, and Hug, and being an expert Python programmer are key requirements for this position. You should have a proven track record of expertise demonstrated through high-quality publications, competitions, or challenges. Collaboration with domain experts, a passion for making a meaningful impact, and strong problem-solving skills are highly valued attributes. A minimum qualification of B.E/B.Tech in Computer Science, Electrical Engineering, or EXTC with a solid foundation in mathematics and statistics is necessary. Excellent communication skills, teamwork abilities, and the capacity to thrive in a startup environment are also essential for success in this role. In this role, you will be expected to take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. The ideal candidate should have 2 to 8 years of relevant experience, with a salary ranging from 15 Lac to 18 Lac P.A. The industry focus is on Analytics and Business Intelligence. If you are a Data Scientist with expertise in Core Python, Machine Learning, and a strong interest in an internship, this opportunity is perfect for you. Walk-ins are welcome for candidates who meet the specified qualifications and key skills outlined above.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a ML Developer at EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY's sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements: - A bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field with adequate industry experience. - Technical skills requirements include developing and implementing machine learning models, conducting exploratory data analysis (EDA), applying dimension reduction techniques, utilizing statistical models, evaluating and validating models, solid background in Python, familiarity with Time Series Forecasting, basic experience with cloud platforms such as AWS, Azure, or GCP, and exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker). Additional skill requirements: - Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. - Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. - Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. - Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. - Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. Join us in building a better working world at EY, where opportunities for personal development, skill advancement, and career progression await. Be part of a diverse team of professionals dedicated to creating long-term value for clients, people, and society while fostering trust in the capital markets. Apply now and be a part of our journey towards a better future.,

As a Data Scientist Associate Manager at SC&O - S&P I&F Decision Science, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that identify cost-saving opportunities, improve supplier management, and provide valuable business intelligence to enterprise clients. One of your key duties will be to analyze procurement spend using various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources through interactions with stakeholders and conducting data quality assessments. Additionally, you will assist in creating data cleansing rules and incorporating data clarifications from source owners. To excel in this role, you should have hands-on experience with Python, including threading limitations and multi-process architecture. Proficiency in MySQL to integrate multiple data sources is essential. Strong coding skills in languages such as R, SQL, JavaScript, Java, CSS, and C++ will be beneficial. Familiarity with statistical and data mining techniques, along with advanced machine learning algorithms and statistics, is also required. Ideal candidates for this position should possess 6-12 years of experience in data modeling, ETL automation, AI/ML, and front-end design. A background in handling and classifying spend data using AI/ML techniques is highly desirable. Strong leadership, team management, proficiency in MS Excel and MS PowerPoint, attention to detail, accuracy, and innovative problem-solving skills are crucial for success in this role. Previous experience in supply chain management and applying AI/ML techniques to optimize operations is preferred. Join us at Accenture and be part of a dynamic team driving innovation and excellence in decision science and data analytics.,

Position Overview As the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new productsMore towards the role required Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team Required Skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Experience in feature selection, building and optimizing classifiers. Experience working with backend technologies such asFlask/Gunicorn etc. Experience on working with open source library such Spacy, NLTK, Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc. Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software

As a Data Scientist Associate Manager in the SC&O - S&P I&F Decision Science team at Accenture, you will play a crucial role in leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. Your responsibilities will involve collaborating with cross-functional teams to create platforms that drive cost-saving opportunities, improve supplier management, and provide valuable business intelligence to our enterprise clients. Your primary roles and responsibilities will include analyzing procurement spend through various techniques to classify it into a custom taxonomy within Accenture's spend analytics tool. You will also be involved in collecting data from different sources during calls with stakeholders, leading data quality assessments, identifying gaps, and creating summaries as per database requirements. Additionally, you will assist in data scrubbing by developing data cleansing rules and incorporating data clarifications provided by data source owners. To excel in this role, you should have hands-on experience in Python with threading limitations and multi-process architecture. Proficiency in MySQL to integrate multiple data sources is also essential. Furthermore, you should possess strong coding skills in languages such as R, SQL, JavaScript, Java, CSS, and C++. Familiarity with statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis is required. Experience with advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks, will be beneficial. In addition to technical skills, we are looking for candidates with 6-12 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. You should have extensive experience in handling and classifying spend data using AI/ML techniques. Strong leadership, team management skills, proficiency in MS Excel and MS PowerPoint, high attention to detail, accuracy, and innovative problem-solving abilities are also desired. Preferred experience in supply chain management, particularly in applying AI/ML techniques to optimize operations, will be an advantage. Join us at Accenture, where we are committed to driving innovation and delivering exceptional solutions to our clients.,