36 Descriptive Analytics Jobs

Role Overview: As a Senior Manager for data science, data modeling, and Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. - Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. - Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. - Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. - Provide thought leadership on solutions and metrics based on the understanding of the nature of business requirements. Team Leadership & Development: - Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. - Provide guidance on career development, performance evaluations, and skill enhancement. - Promote continuous learning and adoption of best practices in data science methodologies. - Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution: - Collaborate with senior leadership to define the data science strategy aligned with business objectives. - Identify and prioritize high-impact analytics projects that drive business value. - Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management: - Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. - Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. - Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. - Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. - Develop and deliver regular reports and dashboards to senior management, market stakeholders, and clients highlighting key insights and performance metrics. - Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration: - Work closely with cross-capability teams such as Business Intelligence, Market Analytics, Data Engineering to integrate analytics solutions into business processes. - Translate complex data insights into actionable recommendations for non-technical stakeholders. - Facilitate workshops and presentations to promote data-driven conversations across the organization. - Closely work with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance: - Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). - Implement best practices for data quality, security, and ethical use of analytics. - Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications: - Education: Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience: 12+ years of experience in advanced analytics, data science, data modeling, machine learning, Generative AI, or a related field with 5+ years in a leadership capacity. - Proven track record of managing and delivering complex analytics projects. - Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data. - Experience with media data will be advantageous. Technical Skills: - Proficiency in programming languages like Python, R, or SQL. - Experience with data visualization tools (e.g., Tableau, Power BI). - Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). - Knowledge of machine learning frameworks and libraries. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and interpersonal skills. - Ability to influence and drive change within the organization. - Strategic thinker with a focus on delivering business outcomes. Additional Company Details: The job is located in Bengaluru under the brand Merkle on a full-time permanent contract.,

As a Managing Consultant in the Analytics division of Advisors & Consulting Services at Mastercard, your primary role is to lead client engagements, develop analytics strategies, and manage key relationships with clients. You will work with a team to provide creative insights, deliver impactful presentations, and foster a collaborative environment. Additionally, you will collaborate with internal stakeholders to scope projects and provide mentorship to junior consultants. Key Responsibilities: - Lead client engagements across various industries and problem statements - Develop analytics strategies for large clients using data and technology solutions - Own key relationships with senior client stakeholders and assess client agenda and change readiness - Lead teams to generate insights and deliver business recommendations - Provide day-to-day project delivery team leadership - Collaborate with internal stakeholders to create solutions for clients and build intellectual capital - Provide training, coaching, and mentorship to junior consultants Qualifications Required: Basic qualifications: - Undergraduate degree with experience in data analytics - Experience coaching and managing teams - Knowledge of business KPIs, financials, and organizational leadership - Ability to identify new business opportunities and draft proposals - Analytical, interpretive, and problem-solving skills - Experience with data analytics software and visualization tools - Proficiency in Word, Excel, and PowerPoint - Ability to manage multiple tasks in a fast-paced environment - Effective communication skills in English and local office language - Eligibility to work in the country of application and apply for travel visas as needed Preferred qualifications: - Additional experience in Hadoop framework and coding using Impala, Hive, or PySpark - Experience in generating new knowledge or innovative solutions - Relevant industry expertise - Master's degree with specialization in advanced analytics, big data, or mathematical discipline In addition to your job responsibilities, as a Mastercard employee, you are expected to adhere to the company's security policies, maintain confidentiality and integrity of information, report any security violations, and complete mandatory security trainings.,

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

About Impact Analytics Impact Analytics (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last years inputs to forecast and plan this years business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. The impact that you will be making? The role would require you to give end-to-end support to the product development and analytics services teams and maintain a strong relationship with our clients. What Lands You In This Role Prepare and transform complex datasets using advanced data wrangling, cleansing and preprocessing techniques to ensure high-quality inputs for AI models, products and analytics. Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly. Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI model and product development. Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products. Build intuitive dashboards and reports using Excel, Tableau to visualize findings and model outcomes. Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders. Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows. Contribute to the evaluation, and optimization of statistical models and machine learning algorithms for high-impact business use cases. Stay updated on emerging AI trends & technologies, and industry best practices to continuously improve product performance and scalability, and product implementation efficiency. Required Skills & Qualifications 3 to 6 years of experience in AI analysis, data science, or related fields with a strong foundation in data preprocessing and statistical analysis. Proficient in Python (with libraries such as NumPy, Pandas, Scikit-learn) and hands-on experience in complex code building and deployment. Advanced proficiency in SQL for handling large-scale datasets efficiently. Proficiency in hypothesis testing, descriptive analytics using EDAs and AI/ML techniques, and familiarity with statistical modelling, (e.g., regression, classification, clustering). Experience with Excel and Tableau for data visualization and storytelling. Strong experience in data wrangling, feature engineering, and pipeline development for large scale datasets. Familiarity with cloud platforms, version control (e.g., Git), and collaborative development practices is a plus. Exceptional analytical and problem-solving skills with attention to detail. Experience with the retail and CPG industry is a plus. Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making. What We Offer An opportunity to be part of some of the best enterprise SaaS products to be built Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions A flat, collegial work environment, with a work hard, play hard attitude A platform for rapid growth if you are willing to try new things without fear of failure. Remuneration with best-in-class industry standards with generous health insurance cover. Our Accolades Include Ranked #72 in Americas Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc. Ranked as one of America' s fastest growing companies by Financial Times for four consecutive years: 2020-2023. Ranked as one of America' s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023. Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications. Featured as one of top 25 ML startups to watch by Forbes in 2019. Ranked as one of North Americas' fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020 Show more Show less

About The Role Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

You will be responsible for working on Predictive Analytics and Descriptive Analytics to solve various use cases. Your tasks will involve conducting Exploratory Data Analysis and utilizing AWS/Azure to solve AI related use cases. Additionally, you will work with Tableau to build dashboards for various business use cases. Collaboration and being a good team player are essential in this role. The ideal candidate should have an educational background in Computer Science or Statistics. Hands-on coding experience in Python and SQL is required, while previous experience with Tableau is a plus. You should have a proven track record of developing Predictive Analytics Models in Python and be skilled in Exploratory Data Analysis. A background in the BFSI domain would be advantageous.,

As a Senior Associate Consultant in Analytics within the Digital Transformation Services (DTS) unit, you will have the opportunity to contribute significantly to our client's Financial Services vertical, particularly in the areas of Insurance and Healthcare. Your role will involve leading analytics solution design, presales activities, and practice development to drive impactful transformations for our clients. Your primary responsibilities will include anchoring analytics-led transformations for our Insurance or Healthcare clients, taking the lead in solution design, supporting RFP/RFX responses, and delivering engaging client presentations. You will be expected to drive thought leadership through the demonstration of solutions, use cases, and points of view, while also crafting and delivering descriptive, diagnostic, predictive, and prescriptive analytics solutions. Collaboration with cross-functional teams and working seamlessly across different time zones will be crucial to your success in this role. To excel in this position, you should ideally possess 5-10 years of experience in Insurance or Healthcare analytics, backed by a strong background in presales and solutioning. Additionally, a minimum of 5 years in analytics consulting, model development, and client delivery is required. Proficiency with analytical tools such as Power BI, Tableau, Qlik, or Zoho is essential, along with hands-on experience in AI/ML, statistical modeling, and Power Automate workflows. Your communication skills and business consulting acumen will be key assets as you engage with clients and internal stakeholders. Candidates with a postgraduate degree or MBA from a Tier 1 institution will be given preference for this role. Join us in this exciting opportunity to shape the future of analytics in the Financial Services industry and drive meaningful digital transformations for our clients.,

As a Consultant in Performance Analytics within Advisors & Consulting Services at Mastercard, you will be part of a dynamic team focused on translating data into valuable insights. In this role, you will work closely with Mastercard and customer data to develop, implement, and scale analytical solutions for clients across various industries. By utilizing both qualitative and quantitative analytical techniques, you will play a key role in synthesizing complex analyses into clear recommendations and impactful narratives. Your responsibilities will include providing creative input on projects, contributing to the development of analytics strategies for regional and global clients, and collaborating with the Mastercard team to address client needs and risks. You will also build strong relationships with client analysts and managers, acting as a trusted partner throughout the engagement. Within the team, you will collaborate with senior consultants to identify key findings, prepare presentations, and deliver recommendations to clients. Independently, you will analyze trends, patterns, and anomalies, structuring your analysis to highlight relevant insights. Additionally, you will lead internal and client meetings, contribute to project management, and help shape the firm's intellectual capital. To excel in this role, you should possess an undergraduate degree with experience in data and analytics, particularly in business intelligence and analytical methodologies. Proficiency in using data analytics software such as Python, R, SQL, and SAS is essential, along with advanced skills in Word, Excel, and PowerPoint. The ability to manage large datasets, communicate effectively, and work in a fast-paced environment is crucial. Preferred qualifications include additional experience in database management, data visualization tools like Tableau and Power BI, and proficiency in working with the Hadoop framework. Strong problem-solving skills, industry expertise, and the ability to collaborate within a team environment are also desired qualities. As part of our commitment to corporate security, you will be expected to adhere to Mastercard's security policies, maintain the confidentiality and integrity of information, report any security violations, and participate in mandatory security training sessions. If you are looking to leverage your data analytics expertise to drive client impact and contribute to the growth and success of our team, we encourage you to explore the available opportunities within our consulting specializations and apply for a position that aligns with your background and experience. Join us in shaping the future of analytics and consulting at Mastercard.,

As a part of this role, you will be responsible for conducting descriptive and diagnostic analytics on various data sources. Your tasks will involve applying machine learning tools to both data and metadata in order to enhance data quality. By identifying patterns and trends within data sets, you will contribute to the overall understanding of the information available. Additionally, you will play a key role in developing data profiles for different data tables and elements present in the data lake. Your responsibilities will also include creating data catalog entries and ensuring the quality of metadata within the data catalog. Collaboration with team members to devise data cleansing methods and rules will be essential to maintain data integrity and consistency. This position is a full-time, permanent role that requires your physical presence at the work location.,

Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelors or Masters degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 8+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. #DentsuGlobalServices Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Job Description: As a Data Scientist - Deputy Manager, your primary responsibility will be to implement solutions to problems using data analysis, data mining, optimization tools, and machine learning techniques combined with statistics. You will be tasked with building data-science and technology-based algorithmic solutions to address various business needs. In this role, you will design large-scale models utilizing Regression, Linear Models Family, and Time-series models. Additionally, you will be driving the collection of new data and refining existing data sources to enhance analytical capabilities. An essential aspect of your role will involve analyzing and interpreting the results of analytics experiments while applying a global approach to analytical solutions within a specific business area and across the enterprise. You should possess the ability to utilize data for Exploratory, Descriptive, Inferential, Prescriptive, and Advanced Analytics. Furthermore, sharing dashboards, reports, and analytical insights from data will be a key component of your responsibilities. Experience in visualizing large datasets is preferred and considered an added advantage. To excel in this position, you must have experience in solving analytical problems using quantitative approaches and a passion for empirical research aimed at answering challenging questions with data. Your expertise should extend to manipulating and analyzing complex, high-volume, high-dimensionality data from various sources. You should be proficient in applying a flexible analytic approach that yields results at different levels of precision and be able to communicate complex quantitative analysis in a clear, precise, and actionable manner. Technical Knowledge and Skills Required: - Expert knowledge of an analysis tool such as Pyspark and Python - Experience working with large datasets, with familiarity in distributed computing tools like Map/Reduce, Hadoop, Hive, etc. - Understanding of relational databases and SQL You're the right fit if: - Possess 5-8 years of experience in engineering or a related field - Demonstrated experience in solving analytical problems using quantitative approaches - Proficiency in manipulating and analyzing complex, high-volume data from various sources - Ability to apply a flexible analytic approach yielding results at varying levels of precision - Strong communication skills to convey complex quantitative analysis clearly and precisely - Expertise in analysis tools such as R and Python - Familiarity with working on large datasets and distributed computing tools How we work together: We believe in the power of collaboration and teamwork. For our office-based teams, working in-person at least 3 days per week is essential. Different roles may require full-time presence onsite at the company's facilities or in the field, typically at customers" or suppliers" locations. About Philips: Philips is a health technology company dedicated to providing quality healthcare accessible to all. Our mission revolves around the idea that every individual matters, and we are committed to ensuring that everyone receives the healthcare they deserve. Join us in making a difference in the lives of others by contributing to our impactful work. Learn more about our business, explore our vibrant history, and discover our purpose. If you find this role intriguing and possess most, if not all, of the required experiences, we encourage you to apply. You might be the perfect fit for this position or other opportunities at Philips. Learn more about our culture of impactful care and consider becoming part of our team.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group specializing in translating data into insights for our regional and global clients. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions that unlock client value. By using qualitative and quantitative analytical techniques along with enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will have the opportunity to provide creative input on various projects across different industries, contributing to the development of analytics strategies and programs for clients. Collaborating with the Mastercard team, you will gain insights into clients" needs, agenda, and risks, building strong working relationships with client analysts/managers as a trusted partner. Your responsibilities will also include collaborating with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients. Independently identifying trends, patterns, issues, and anomalies in your area of analysis, you will structure and synthesize your analysis to highlight relevant findings. Leading internal and client meetings, contributing to project management, and adding to the firm's intellectual capital will be essential aspects of your role. Additionally, you will receive mentorship from performance analytics leaders for your professional growth and development. To qualify for this role, you should have 2-4 years of overall career experience in Performance Analytics, along with an undergraduate degree and experience in data analytics such as business intelligence or descriptive, predictive, or prescriptive analytics. Proficiency in using data analytics software like Python, R, SQL, SAS, as well as advanced skills in Word, Excel, and PowerPoint are required. You should be able to analyze large datasets, synthesize key findings, and multitask efficiently in a fast-paced, deadline-driven environment. Effective communication skills in English and the local office language, where applicable, are also necessary. Preferred qualifications include additional experience in building, managing, and maintaining database structures, working with data visualization tools like Tableau or Power BI, and familiarity with the Hadoop framework and coding using Impala, Hive, or PySpark. Experience in collaborative team environments, problem-solving skills, and relevant industry expertise are also advantageous. As a team member at Mastercard, you will be expected to adhere to the company's security policies and practices, maintain the confidentiality and integrity of accessed information, report any suspected security violations or breaches, and participate in periodic mandatory security trainings to ensure information security. Please refer to our consulting specializations page for more opportunities and apply for the position that aligns best with your background and experience.,

As an Associate Managing Consultant in the Performance Analytics division of Advisors & Consulting Services at Mastercard, your primary responsibility will be to translate data into actionable insights for clients. You will leverage both Mastercard and customer data to design, implement, and scale analytical solutions that drive value for our clients. Your role will involve using a mix of qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and compelling narratives. In this position, you will have the opportunity to work on projects across various industries and problem statements, managing deliverables and workstreams effectively. You will play a key role in developing analytics strategies and programs for large, regional, and global clients by harnessing data and technology solutions to unlock client value. Building strong working relationships with client managers and acting as a trusted partner will be essential to your success. Your responsibilities will also include creating predictive models using segmentation and regression techniques to drive profits, reviewing analytics end-products for accuracy and timeliness, and proactively seeking new knowledge to enhance project work. Additionally, you will collaborate with your team to develop sound business recommendations, deliver client presentations, and lead project management efforts. Mentoring junior consultants, contributing to the firm's intellectual capital, and fostering effective working relationships with local and global teams will be integral parts of your role. To excel in this position, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should have a strong ability to analyze large datasets, synthesize key findings, and provide recommendations using descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, SAS, as well as advanced skills in Word, Excel, and PowerPoint are necessary. Effective communication in English and the local office language, eligibility to work in the country where you are applying, and willingness to travel as required are also important qualifications. Preferred qualifications for this role include additional experience working with the Hadoop framework, coding using Impala, Hive, or PySpark, or utilizing data visualization tools like Tableau and Power BI. Experience in managing tasks in a collaborative team environment, coaching junior consultants, and possessing relevant industry expertise will be advantageous. While an MBA or master's degree with a relevant specialization is not required, it is considered a plus. If you are passionate about leveraging data to drive business insights, thrive in a collaborative and fast-paced environment, and are committed to delivering value to clients, we encourage you to explore the opportunities available in our Performance Analytics team at Mastercard.,

You will be joining our Data & AI practice as an Individual Contributor and Functional AI Decision Science Consultant at Level 9, with the opportunity to work in Gurgaon, Bangalore, Mumbai, or Hyderabad. As part of a global team of skilled professionals, you will utilize cutting-edge statistical tools and methodologies to deliver data-driven insights and solutions for our clients. Your primary responsibilities will include defining data requirements for Data Driven Growth Analytics, analyzing and interpreting data, and ensuring data quality. You will work on market sizing, lift ratio estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merchandising AI capabilities. Additionally, you will develop AI/ML models using Azure ML tech stack, manage data pipelines, and leverage cloud platforms for deploying and scaling machine learning models. In this role, you will also be expected to manage client relationships, effectively communicate insights and recommendations, and contribute to capability building and thought leadership within the team. Your logical thinking and task management skills will be crucial to analyze data systematically and prioritize tasks efficiently. To be successful in this position, you should have a minimum of 4+ years of experience in Marketing analytics and 3+ years of experience in Data Driven Merchandizing. Proficiency in econometric/statistical modeling, Azure ML, SQL, R, Python, and PySpark is essential, along with a strong understanding of marketing data and business processes in the Retail and CPG industries. A Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or related fields is required, along with excellent academic credentials. Additionally, knowledge of tools like Excel, Word, and PowerPoint for communication and documentation will be beneficial in this role. If you are seeking a challenging opportunity to work with a dynamic team of professionals and make a significant impact in the field of Data & AI, we invite you to apply and join our team at Accenture.,

As an Associate Managing Consultant in Strategy & Transformation at Mastercard's Performance Analytics division, you will be a part of the Advisors & Consulting Services group specializing in translating data into actionable insights. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions for clients. By utilizing qualitative and quantitative analytical techniques and enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will manage deliverable development and workstreams on projects spanning various industries and problem statements. You will contribute to developing analytics strategies for large clients, leveraging data and technology solutions to unlock client value. Building and maintaining trusted relationships with client managers will be crucial, as you act as a reliable partner in creating predictive models and reviewing analytics end-products for accuracy, quality, and timeliness. Collaboration and teamwork play a significant role in this role, where you will be tasked with developing sound business recommendations, delivering effective client presentations, and leading team and external meetings. Your responsibilities will also include contributing to the firm's intellectual capital, mentoring junior consultants, and fostering effective working relationships with local and global teams. To be successful in this role, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should be adept at analyzing large datasets, synthesizing key findings, and providing recommendations through descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, and SAS, as well as advanced skills in Word, Excel, and PowerPoint, are essential. Effective communication in English and the local office language, eligibility to work in the country of application, and a proactive attitude towards learning and growth are also required. Preferred qualifications for this role include additional experience working with the Hadoop framework, data visualization tools like Tableau and Power BI, and coaching junior delivery consultants. While an MBA or master's degree with a relevant specialization is not mandatory, having relevant industry expertise would be advantageous. At Mastercard, we prioritize information security, and every individual associated with the organization is expected to abide by security policies, maintain the confidentiality and integrity of accessed information, report any security violations or breaches, and complete required security trainings to ensure the protection of Mastercard's assets, information, and networks.,

As an experienced Marketing Analytics Trainer, you will have the opportunity to deliver a comprehensive classroom training program for our Brand Design and Activation Team based in Mumbai (Vikhroli). This program spans over 23 full days and is aimed at 1011 professionals involved in Content Marketing, Digital Marketing, Social Media Marketing, and Campaign Creation & Activation. Your role will involve designing and facilitating a program titled "Marketing Analytics: Data-Driven Decision Making" tailored to Brand Managers, Brand Activation Leads, and Product Marketing Professionals. The primary objective of this program is to equip participants with the knowledge and skills to leverage analytics for marketing decision-making effectively. Throughout the training, you will guide participants to understand the four key types of analytics - Descriptive, Diagnostic, Predictive, and Prescriptive - and demonstrate how each type contributes to informed marketing strategies. Moreover, you will enable participants to translate data insights into actionable marketing plans, utilizing both qualitative and quantitative research tools to extract valuable customer insights. Your expertise will be pivotal in connecting research outcomes to decisions related to brand positioning, campaign development, and product innovation. By integrating analytics and customer insights, you will help create a cohesive decision-making framework aligned with the overarching business goals of the organization. To excel in this role, you are required to have a proven track record in Marketing Analytics training or similar corporate workshops. A strong understanding of data-driven marketing practices and analytical frameworks is essential, along with the ability to engage effectively with cross-functional teams from various departments such as brand, product, and digital. Additionally, the inclusion of hands-on examples and relevant industry use cases in your training sessions is highly preferred to enhance the learning experience for the participants.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Business Experimentation, Marketing, and Program Management. Your role will involve translating data into valuable insights for clients by utilizing both Mastercard and customer data to create, implement, and expand analytical solutions. You will apply qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and impactful narratives. In this position, you will have the opportunity to contribute creatively to various projects across different industries and problem statements. You will play a key role in developing analytics strategies and programs for regional and global clients, unlocking client value through data and technology solutions. Collaborating closely with the Mastercard team, you will gain a deep understanding of clients" needs, agendas, and risks, establishing yourself as a trusted and reliable partner to client analysts and managers. Your responsibilities will also include collaborating with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients. Independently identifying trends, patterns, issues, and anomalies in your area of analysis, you will structure and synthesize your own analysis to highlight relevant findings. Leading internal and client meetings, contributing to project management, and enhancing the firm's intellectual capital will all be part of your role. To qualify for this position, you should have an undergraduate degree with experience in data and analytics related to business intelligence and descriptive, predictive, or prescriptive analytics. Proficiency in data analytics software such as Python, R, SQL, and SAS is essential, along with advanced skills in Word, Excel, and PowerPoint. Strong communication skills in English and the local office language, if applicable, are required. Additionally, you should be eligible to work in the country where you are applying and be able to apply for travel visas as needed for business trips. Preferred qualifications for this role include additional experience in building, managing, and maintaining database structures, working with data visualization tools like Tableau and Power BI, or utilizing the Hadoop framework and coding with Impala, Hive, or PySpark. You should also be adept at analyzing large datasets to provide recommendations through descriptive analytics and business intelligence, managing tasks in a collaborative team environment, and identifying problems to implement effective solutions. Relevant industry expertise will be beneficial. Furthermore, as part of your corporate security responsibility at Mastercard, you are expected to abide by security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings as per Mastercard's guidelines. Your commitment to information security is crucial in protecting Mastercard assets, information, and networks. For more information on different specializations and levels available in consulting at Mastercard, please visit: [Consulting Specializations at Mastercard](https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard),

As an Analyst/Consultant in the Strategy & Consulting Global Network at Accenture's Marketing analytics practice in Gurgaon, you will play a crucial role in helping clients grow their business through data-driven insights and analytics. You will be part of a global team of over 20,000 skilled professionals who excel in statistical tools, methods, and applications, working towards providing analytically informed insights at scale. Your responsibilities will include defining data requirements for Data Driven Merchandizing capability, cleaning, aggregating, analyzing, and interpreting data, as well as conducting data quality analysis. With 3+ years of experience in Data Driven Merchandizing, specifically in Pricing/Promotions/Assortment Optimization across retail clients, you will utilize your knowledge of price/discount elasticity estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merch AI capability. Moreover, you will be expected to have hands-on experience in state space modeling, mixed effect regression, and developing AI/ML models in Azure ML tech stack. Your role will also involve managing data pipelines, data within different layers of Snowflake environment, and implementing scalable machine learning architectures. Proficiency in cloud platforms for deploying and maintaining machine learning models in production will be essential. Collaboration with the team and consultants/managers is a key part of your role, along with creating insights presentations and client-ready decks. You should possess strong communication skills and the ability to mentor and guide junior resources. Logical thinking, analytical skills, and task management knowledge will be necessary for planning tasks, setting priorities, tracking progress, and reporting effectively. At Accenture, you can expect continuous investment in your learning and growth, with opportunities to work with Data Driven Merchandizing experts and build your tech stack and certifications. You will gain a deep understanding of sound analytical decision-making and execute projects in the context of business performance improvement initiatives. If you are looking to leverage your expertise in analytics and make a significant impact on client outcomes, this role offers a dynamic and rewarding opportunity.,

As an Analyst/Consultant within the Marketing Analytics practice of Accenture Strategy & Consulting in Gurgaon, you will play a crucial role in assisting clients to grow their business by leveraging analytics to drive high performance and make informed decisions based on data insights. The Accenture Applied Intelligence practice focuses on developing analytic capabilities that enable organizations to outperform competitors, from accessing and reporting on data to predictive modeling. Joining a global network of over 20,000 colleagues, you will have the opportunity to work with leading statistical tools, methods, and applications. From data to analytics and insights to actions, you will collaborate with forward-thinking consultants to provide analytically informed insights at scale, helping clients improve outcomes and achieve high performance. In this role, you will work through various project phases, defining data requirements for Data Driven Merchandizing capabilities. Your responsibilities will include cleaning, aggregating, analyzing, and interpreting data, as well as conducting data quality analysis. With at least 3 years of experience in Data Driven Merchandizing, you will focus on Pricing/Promotions/Assortment Optimization capabilities across retail clients, including knowledge of price/discount elasticity estimation and non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, and descriptive analytics to support merch AI capability is essential. Hands-on experience in state space modeling, mixed effect regression, and developing AI/ML models in the Azure ML tech stack is required. You will also be responsible for managing data pipelines and data within different layers of the Snowflake environment. Additionally, you should be familiar with common design patterns for scalable machine learning architectures, tools for deploying and maintaining machine learning models in production, and cloud platforms for pipelining and deploying elasticity models. Your role will involve working alongside a team and consultant/manager, creating insights presentations, and client-ready decks. You should possess strong communication skills and be able to mentor and guide junior resources. Logical thinking is a key attribute for this role, as you will need to think analytically and use a systematic and logical approach to analyze data, problems, and situations. Your task management skills should be at a basic level, enabling you to plan your tasks, discuss priorities, track progress, and report accordingly.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your role will involve translating data into insights by utilizing both Mastercard and customer data to create, implement, and scale analytical solutions for clients. You will employ qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Your responsibilities will include providing creative input on projects across various industries, contributing to the development of analytics strategies for regional and global clients, collaborating with the Mastercard team to understand client needs, and developing relationships with client analysts and managers. Additionally, you will collaborate with senior project delivery consultants, identify key findings, prepare presentations, deliver recommendations to clients, and lead internal and client meetings. To qualify for this role, you should have an undergraduate degree with experience in data and analytics, proficiency in data analytics software such as Python, R, SQL, SAS, and advanced skills in Word, Excel, and PowerPoint. You must be able to analyze large datasets, synthesize key findings, manage clients or internal stakeholders, and communicate effectively in English and the local office language. Preferred qualifications include additional experience in database structures, data visualization tools, working with the Hadoop framework, and relevant industry expertise. As part of your role, you will be expected to abide by Mastercard's security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings. This position offers opportunities for professional growth and development through mentorship from performance analytics leaders. If you are passionate about leveraging data to drive business insights and solutions, and possess the required qualifications and skills, we encourage you to explore the available positions in Performance Analytics at Mastercard and apply to join our dynamic team.,

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

About The Role Job Title - S&C Global Network - AI - Merchandising Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Merchandising Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization. Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

As an experienced professional with over 18 years in the Telecom, New Age/Tech, Customer Service, and Retail industries, you will be responsible for leading the Quality and Process Excellence team for a large business with global deliveries. Your role will require you to have a Graduate/Post Graduate degree with at least the last 10 years in the IT/BPO industry. It is essential to have Lean and Six Sigma Black Belt/Master Black Belt certifications to drive quality certifications like ISO, CMMI, COPC, and execute high-impact continuous improvement projects using Lean, Six Sigma, and Transformation methodologies. Your responsibilities will include proactively identifying opportunities for improvements and potential risks, collaborating with internal and external stakeholders to address them, and driving business value generating projects for customers and the organization. Additionally, you will lead innovation and change initiatives across the business in alignment with customer and internal transformation teams. Your strong interpersonal, people management, analytical, and communication skills will be crucial in managing clients, internal senior stakeholders, and global teams across different geographies and time zones. Having a proven track record in problem-solving and innovation, especially in technology-enabled solutions like RPA, Low Code No Code, AI, and Gen AI, will be advantageous. Furthermore, a good understanding of various pricing models, financials, and P&L, along with the ability to drive descriptive, prescriptive, and predictive analytics for different engagements, will be valuable in ensuring best-in-class customer experience. You will also be expected to own the charter of Start Green and Stay Green to identify and replicate best practices throughout the business.,

Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing analytics Title :- Analyst/Consultant Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide junior resources. Should have strong communication skills. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualification Who we are looking for Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.