85 Cpg Jobs - Page 4

Role & responsibilities Required Skills: Business Domain Skills: Trade Promotion Management (TPM) , Trade Promotion Optimization (TPO) , Trade Spend Efficiency Promotion Depth, Frequency, Forecasting, Scenario and Effectiveness Price Pack Architecture, Pricing Elasticity and Price Sensitivity Competitive Price tracking, benchmarking and effectiveness Revenue Growth Management, Category and Channel Growth, Market Entry and New Product Pricing Financial Modeling, Dynamic pricing implementation AI & Machine Learning for Pricing Technical Skills: Proficiency in programming languages like Python and R for data manipulation and analysis Expertise in machine learning algorithms and statistical modeling techniques Familiarity with data warehousing and data pipelines Experience with data visualization tools like Tableau or Power BI Experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. Consulting Skills: Hypothesis-driven problem solving Go-to-market pricing and revenue growth execution Advisory, Presentation, Data Storytelling Project Leadership and Execution Typical Work Environment: Own delivery of RGM solutions, ensuring high-quality deliverables and measurable business outcomes for clients. Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact Preferred candidate profile Experience and Qualification: Overall, 8 to 10 years of experience in Retail/CPG Analytics with 2 to 4 years of experience in RGM products/services within the Retail/CPG industry. Expertise in Pricing, Promotions, Price Pack Architecture, Trade Spend etc. Experience in engaging senior business stakeholders (VP/C-level) in strategic discussions. Good understanding of application of AI in building and delivering RGM solutions and underlying technology Understanding and experience working in Agile methodologies Degree in Data Science, Computer Science with data science specialization Masters in business administration in Marketing and Analytics preferred

Dreaming big is in our DNA Its who we are as a company Its our culture Its our heritage And more than ever, its our future A future where were always looking forward Always serving up new ways to meet lifes moments A future where we keep dreaming bigger We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential The power we create together when we combine your strengths with ours is unstoppable Are you ready to join a team that dreams as big as you do AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology The teams are transforming Operations through Tech and Analytics, Do You Dream Big We Need You, Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role Anheuser-Busch InBev (AB InBev)?s Logistics Analytics team is responsible for transforming the companys Supply Chain by embedding intelligence across key process areas in Inventory Planning, Transportation & Warehousing, Key tasks & accountabilities You will collaborate with product owners from business functions to translate business problem into Data Science use case, You are expected to explore and develop ML/AI algorithms to solve new business problem or improve the existing methodology, model accuracy etc You will work on building code that will deploy into production, using code design and style standards, You will document your thought process and create artefacts on team repo/wiki that can be used to share with business and engineering for sign-off, You will significantly improve the performance and reliability of our code that create high quality and reproducible results, You will collaborate with other team members to advance team?s ability to ship high quality code, fast! You will maintain basic developer hygiene that includes but not limited to, writing tests, using loggers, readme to name a few, Qualifications, Experience, Skills Level Of Educational Attainment Required Academic degree in, but not limited to, Bachelors or Masters in engineering (CS) b-tech/BE/ Masters in data science, statistics, applied mathematics, mathematics, economics, etc Previous Work Experience Minimum 36+ years of relevant experience in Analytics & Data science / building ML models Preferred industry exposure CPG or Supply Chain domain & capability of successfully deploying analytics solutions and products for internal or external clients Skills Required Hands-on experience in data manipulation using Excel, Python, SQL Expert level proficiency in Python (knowledge of object-oriented design concepts & able to write end-to-end ML or data pipelines in python) Proficient in application of one or more and has exposure to others ML concepts (like regression, classification, clustering, time series forecasting) and optimization techniques(Linear & Non Linear optimization) to solve end-to-end business problem Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to effectively communicate and present information at various levels of an organization Ability to work independently and with others And above all of this, an undying love for beer! We dream big to create future with more cheers

Role & responsibilities Job Details: Role: Data Scientist Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: UK Shifts Experience Required: 5+ Years Job Description: This individual contributor role will report to the Data Science Strategy Leader and will build our muscle around prescriptive analytics capabilities in commercial landscape. We are looking for individuals that have experience in one or more of the following focus areas: Strategic pricing optimization Revenue growth management Advanced marketing measurement and optimization Zero- and first-party consumer datasets Demand planning, forecasting and S&OP This role is ideal for candidates who excel at operating in environments with imperfect data, and comfortable prioritizing progress over perfection by making reasonable business assumptions. Responsibilities: Work with Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required About You: Youre driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. To succeed in this role, you will need the following qualifications: Critical Technical Skills: 5+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred) A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience. Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus) Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny) Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.) Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical Bayesian regression, unsupervised learning, clustering/segmentation) Preferred candidate profile

Job Title: SAP S/4HANA Embedded Analytics Consultant (Fiori Specialist) Location: Gurgaon (Onsite) Working Days: Monday to Friday Working Hours: 10:00 AM to 7:00 PM Budget: Open Industry: Manufacturing (Preference for candidates from CPG or similar industries) Job Description We are seeking experienced SAP S/4HANA Embedded Analytics Consultants with strong expertise in SAP Fiori apps to join our team in Gurgaon. This is a critical role focused on delivering high-quality Fiori-based analytical reporting solutions to support business operations, primarily in the manufacturing and distribution domain. Key Responsibilities Customize and enhance SAP Fiori standard analytical/reporting apps Develop new Fiori apps using CDS views and SAP Query Work extensively with SAP Design Studio and Webpro Implement and validate SAP authorizations/roles for secure access to reporting apps Collaborate with business stakeholders to understand requirements and deliver impactful Fiori-based business reports Focus on Supply Chain Management (SCM) reporting within manufacturing/distribution Provide guidance and support for finance-related and marketing/commerce-related Fiori app customizations (preferred) Act as a business analyst to translate functional needs into effective Fiori solutions Support Train-the-Trainer initiatives and end-user enablement Follow structured development and deployment processes Required Skills & Experience 5+ years of hands-on experience with SAP Fiori analytical apps customization 5+ years working with SAP Design Studio and Webpro Strong experience in developing Fiori apps using CDS views or SAP Query Proven ability to handle SAP authorizations and security roles Deep understanding of business analysis in the context of SCM, manufacturing, and distribution Exposure to Finance, Commerce, and Marketing Fiori reporting apps (preferred) Strong communication and client-facing skills Experience with structured development methodologies Prior experience in training or enablement programs is a plus Additional Information Location: Gurgaon (onsite role, not remote) Industry Fit: Candidates from CPG, manufacturing, distribution, or similar industries are highly preferred Work Environment: Collaborative and fast-paced project environment with a strong focus on business alignment

Hiring for: A leading well funded B2B SaaS company serving global CPG clients in the supply chain domain. Part of one of the largest global Analytics consulting firms. Positions: 2 Location: Bangalore (Hybrid) Experience: Min. 6 years in DS, overall could be more Preferred Joining: Immediate to 30 days Reporting to: Director of Data Science Direct Reports: Zero (this is an IC role) Salary: 50L+ range based on fitment and skills Overview: As a Lead Data Scientist, you will be instrumental in shaping the company's next-generation AI-driven demand planning and optimization products. You will lead the design and deployment of data science solutions that power the company's core decision intelligence engine driving measurable business impact for our global clients. From problem scoping to model deployment, you will own the full data science lifecycle and work closely with cross-functional teams to integrate intelligence into key decision-making workflows. Role & Responsibilities: Conduct exploratory data analysis to uncover trends, patterns, and insights from complex datasets Design, train, and deploy machine learning and deep learning models for time series use cases such as demand forecasting, inventory management, and pricing Extract data insights, create visualizations, and communicate findings to technical and non-technical stakeholders Build and maintain data science pipelines for model development, deployment, monitoring, and updates Collaborate with engineering, product, and business teams to integrate models into production systems and align with client goals Research and prototype new algorithms and modelling techniques to improve solution performance Monitor and evaluate model performance and iterate based on finding Requirements: 6+ years of experience in data science, machine learning, or analytics roles Experience with time series analysis, forecasting, and predictive modelling. Proficient in Python (NumPy, pandas, Scikit-learn, TensorFlow, or PyTorch), SQL, and Excel Familiarity with deploying machine learning solutions and managing model lifecycle Ability to work with engineering and product teams to scope and deliver projects Ability to explain modelling choices, data assumptions, and outcomes to stakeholders Exposure to statistical methods, optimization, and model monitoring frameworks Prior experience working in CPG, FMCG, or retail industries is a plus

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :Retail, CPG, Supply chain, marketing data Analytics Good to have skills :NAMinimum 7.5 year(s) of experience is required Educational Qualification :Application Lead Summary :Candidate needs to have an outside-in view of how Retail/Consumer goods services industry is evolving to support clients in their transformation journey .As an Application Lead who is experienced in Retail and Consumer goods Data Analytics , you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, making key decisions, and providing solutions to problems. With your expertise in Data Retail and Consumer Goods Analytics, you will contribute to the development of innovative and efficient applications. Roles & Responsibilities: Expected to be proficient in either of Retail, CPG, Supply chain, marketing data Analytics and or data engineering. Expected to be an SME, collaborate, and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute to key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for application-related matters. Oversee the entire application development process. Ensure successful implementation of applications. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Retail and Consumer goods and services Analytics. Strong understanding of statistical analysis and machine learning algorithms.-Extracting, cleaning, and manipulating large datasets from various sources required for delivery Utilizing advanced data processing techniques and data visualization tools to present the reporting in a clear and compelling manner Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Retail and Consumer goods and services Data Analytics. This position is based at our Pune office. An Application Lead education is required. Qualifications 15 years full time education

Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary :The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets – Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce- This position is based at our Bengaluru office. About Our Company | Accenture

Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary :The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets – Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce- This position is based at our Bengaluru office. About Our Company | Accenture

Role & responsibilities : Tools: JDA/Blue Yonder, Apollo Retail, Power BI, Excel, PowerPoint, NIQ, Circana, Spins Responsibilities: Develop and deploy planograms, analyze shelf allocation, collaborate with teams, leverage data for insights, track space productivity, and present recommendations. Location - Gurugram and Bangalore Preferred candidate profile : CPG and Retail (Domain ) Qualifications: Bachelor's or Master's degree, 6-8 years of experience, proficiency in space planning tools and BI platforms, strong analytical and communication skills, and ability to manage multiple priorities in a fast-paced environment.

Overview This role will be part of the AMESA / APAC DevSecOps team responsible for solution design, delivery, governance and sustenance of planning solutions in the portfolio (primarily SAP) and also supporting AMESA/APACs growth journey in the next few years. This role will partner with AMESA / APAC Business & IT Leads to understand requirements, ideate the solution, estimate and deliver solutions in stated domain. This role will support in building new solution design. Roll-outs and improvements of existing solution as part of IT strategy roadmap in the stated areas by collaborating with various IT internal teams. This role will collaborate with various IT internal teams to deliver the solution end to end from initiation to delivery & sustain by adhering to all internal PepsiCo IT standards. People with high motivation, leadership and people management skills are key for success of this role. Responsibilities Plan and deliver all the project and change initiatives in EAM (Enterprise Asset management) value stream as planned by business as part of AOP and ensure it execution within time and budget. Lead IT solution planning, Business requirements analysis, IT project delivery and governance related to the key solutions. Manage multiple projects at the same time efficiently, working with Partner resources for execution Close pursuit for any new applications /solutions in Supply Chain domain that may be required in future as part of IT strategy and roadmap Ensure global lift and shift opportunities are deployed across the sectors Collaborate with other teams (TS&ES Teams, Infra, Security & Controls, Application Development, Middleware & Landscape) to support on discussions / governance related to Controlling domain Work with different stakeholders from Business, IT organization and Partners to ensure efficient delivery as per PepsiCo standards and deliver business value Work with AMESA / APAC EAM function teams members and ensure optimal solutions are delivered Help implement and adapt PepsiCo Agile best practices such as continuous integration, automation of testing and delivery, and continuous peer review within teams. Adheres to the internal IT (AMESA / APAC IT DevSecOps) support operating model, including technology standards, support methodology, release management, change management, and other related processes and procedures Stays up-to-date with technology and industry trends by proactively participating in training, self-study, conferences, webcasts, user group participation, reading or other relevant means. Qualifications Graduation in Engineering 11+ years of experience related IT experience, CPG experience preferred 8-11 years of years of experience configuring, deploying and managing SAP PM/SAM/Work Manager modules. In depth knowledge of maintenance processes along with integration with other SAP modules. Knowledge of all master data objects required to support the plant maintenance activities. At least 2+ large scale implementation projects experience preferred 5+ years of Lead experience