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 Description Job Title: Manager- GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial 1. Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix. The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking. By leveraging internal and external data sourcesincluding transactional, market, and customer-level data—this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics. The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies. 2. Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments. Build uplift models (e.g., Causal Forests, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs. base volume. Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity. time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies. Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization. Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions. Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes. Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies. Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments. Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python. Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions. Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails. Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact. Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability. Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling. Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility. Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making. Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies. Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment. Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals. Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives. Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis. Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team. Technical Skills - Must have Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing. Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools. Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost. Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness. Proficient in Power BI, Advanced MS Excel (Pivots, calculated fields, Conditional formatting, charts, dropdown lists, etc.), MS PowerPoint SQL & Python. Business Environment Work closely with Zone Revenue Management teams. Work in a fast-paced environment. Provide proactive communication to the stakeholders. This is an offshore role and requires comfort with working in a virtual environment. GCC is referred to as the offshore location. The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams. Summarize insights and recommendations to be presented back to the business. Continuously improve, automate, and optimize the process. Geographical Scope : Global 3. Qualifications, Experience, Skills Level of educational attainment required Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience. Previous work experience 5-8 years of experience in the Retail/CPG domain. Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources. And above all of this, an undying love for beer! We dream big to create future with more cheer.

AB InBev GCC was incorporated 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages 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 Description Job Title: Junior Developer Location: Bengaluru Reporting to: Tech Manager EXPERTISE AND QUALIFICATIONS PURPOSE OF ROLE Seeking a candidate with expertise in SQL, Python and Machine Learning to work on innovative analytics solutions in Finance, CPG, and Risk Management. You will have the opportunity to work with a diverse team of professionals and gain hands-on experience in data analysis, interpretation, and reporting. This role will primarily involve working with Python to analyze large datasets, generate insights, and support data-driven decision-making processes. Collaborate with global finance leaders and risk management professionals to work on scalable, tech-driven solutions for complex business challenges. KEY TASKS AND ACCOUNTABILITIES Create SQL queries and optimize for performance. Build and optimize Python/ML models for predictive and prescriptive analytics. Develop insightful dashboards and reports in Power BI to enable informed decision-making. Provide financial and CPG sector-specific analytics to identify opportunities, mitigate risks, and drive efficiency. QUALIFICATIONS, EXPERIENCE, SKILLS Education and Experience: University degree in Engineering/Business/Finance or related field. 1 to 2 years of experience in Business/Consulting/Finance or related fields with strong analytical and technical expertise in Business or Financial KPIs. Experience in process-oriented, result-focused organizations, particularly within the FMCG industry, is a plus. Technical Competencies: SQL (Must-have skill) Python (Must-have skill) Developing web applications using react based framework, CSS and JavaScript/typescript (Good to have skill) Functional Competencies: Strong analytical and technical abilities. Data based or algorithmic approach to problem solving. Excellent communication and presentation skills. Ability to work in high-pressure environments and manage stakeholder expectations. Proven ability to think outside the box and deliver innovative business solutions. And above all of this, an undying love for beer! We dream big to create a future with more cheersAB InBev GCC was incorporated 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages 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 Description Job Title: Junior Developer Location: Bengaluru Reporting to: Tech Manager EXPERTISE AND QUALIFICATIONS PURPOSE OF ROLE Seeking a candidate with expertise in SQL, Python and Machine Learning to work on innovative analytics solutions in Finance, CPG, and Risk Management. You will have the opportunity to work with a diverse team of professionals and gain hands-on experience in data analysis, interpretation, and reporting. This role will primarily involve working with Python to analyze large datasets, generate insights, and support data-driven decision-making processes. Collaborate with global finance leaders and risk management professionals to work on scalable, tech-driven solutions for complex business challenges. KEY TASKS AND ACCOUNTABILITIES Create SQL queries and optimize for performance. Build and optimize Python/ML models for predictive and prescriptive analytics. Develop insightful dashboards and reports in Power BI to enable informed decision-making. Provide financial and CPG sector-specific analytics to identify opportunities, mitigate risks, and drive efficiency. QUALIFICATIONS, EXPERIENCE, SKILLS Education and Experience: University degree in Engineering/Business/Finance or related field. 1 to 2 years of experience in Business/Consulting/Finance or related fields with strong analytical and technical expertise in Business or Financial KPIs. Experience in process-oriented, result-focused organizations, particularly within the FMCG industry, is a plus. Technical Competencies: SQL (Must-have skill) Python (Must-have skill) Developing web applications using react based framework, CSS and JavaScript/typescript (Good to have skill) Functional Competencies: Strong analytical and technical abilities. Data based or algorithmic approach to problem solving. Excellent communication and presentation skills. Ability to work in high-pressure environments and manage stakeholder expectations. Proven ability to think outside the box and deliver innovative business solutions. And above all of this, an undying love for beer! We dream big to create a future with more cheers

AB InBev GCC was incorporated 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages 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: CA Industrial Trainee Duration: 9- 15 months Location: Bengaluru

Operational Responsibilities Reviewing and ensuring Zones provide timely self-assessment of Minimum Internal Control Standards and DAG with high quality standards. Reviewing trend analysis of self-assessment and resolving any questions thereof. Working with various stakeholders to suggest mitigation plan for driving closure of ineffective MICS and DAG in a sustainable manner. Driving continuous compliance culture and ensuring all gaps are highlighted and closed on timely basis arising out of continuous Compliance monitoring Driving robust Compliance environment and ensuring zero surprise in internal and external audit. Identify the Key risk in Operations. Contribute to Global team to effectively mitigate the risk. Ensuring that SLA are met and provide visibility to Leadership team on overall Compliance health Liaise with GRM team and broader leadership team in Ops to close the Audit issues on timely basis. Responsible for driving Compliance in the area of RPA (BOTS, MINIBOTS, end user computing files), instrumental in getting recommendation/mitigation plan implemented for the gaps raised. Reviewing SOX Management testing results i.e. design and operating assessment to ensure testing is done with highest standard with no room for open risk or exposure to organization. Be enabler and regular interaction with zones to ensure the deficiencies are tracked and closed on timely basis. Perform/Review automated control testing and ensuring getting clean opinion on automated controls from external auditors. Driving validation and implementation of MICS automation Project to enable zones to achieve targets. Also identify Automation opportunity in control area and demonstrate efficiencies To demonstrate a pragmatic approach to the task in hand and to promote and implement best practices across zones. To ensure an effective communication process is in place with line management and team members

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 Description Job Title: Senior Data Scientist Marketing & Consumer Insights Location: Bangalore Reporting to: Senior Manager – Marketing & Consumer Insights COE 1. Purpose of the role We are looking for a highly motivated and strategic Senior Data Scientist to drive the global consumer sentiment analytics platform. This role will focus on building scalable, explainable, and accurate data science models using NLP and AI, enabling insights from social media, e-commerce platforms, and online review data across global markets. The candidate will own the end-to-end development cycle, from experimentation and model development to deployment and integration into Power BI dashboards. Mentoring junior data scientists, ensuring code quality, and exploring new AI techniques will also be part of the role. 2. Key tasks & accountabilities Own and manage data science workflows: data ingestion, cleaning, modeling, tuning, and interpretation. Apply and fine-tune NLP techniques for sentiment analysis, aspect extraction, multi-lingual translation and topic modeling. Ensure proper data modeling aligned with AB InBev’s data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. Integrate multiple datasets and data types (structured and unstructured) to improve model robustness and drive more insightful outputs. Oversee the deployment of models into production, ensuring integration with existing ABI systems and infrastructure. Ensure that the models are accurate, scalable and aligned with project objectives. Collaborate with functional and technical teams to translate business questions into modeling approaches. Participate actively during the dashboard visualization phase to ensure seamless user experience and usability; revisit model code to improve accuracy and simplify where possible. Work closely with visualization experts to ensure insights are consumable, intuitive, and decision-ready. Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. The ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. Drive experimentation and optimization cycles to improve model accuracy and business relevance. Partner with stakeholders across functions and geographies to ensure models address real-world needs. Maintain documentation and reproducibility standards across all modeling efforts. Mentor and support analysts and junior data scientists on best practices and solution design. 3. Qualifications, Experience, Skills Level of educational attainment required: Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Engineering, or equivalent. Specialization or certifications in NLP, Deep Learning, or Applied AI preferred. Previous work experience required: 8+ years in data science with a focus on NLP and consumer analytics. Experience working with unstructured data, especially from social media, forums, or customer reviews. Prior exposure to end-to-end model deployment and integration with BI tools like Power BI. Experience in Agile teams, with familiarity in Azure DevOps or similar CI/CD environments. Proven ability to mentor and guide teams across multiple regions. IT Skills required: Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) Familiarity with cloud environments (Azure preferred) Knowledge of Power BI integration and data pipelines Technical skills required: NLP, Sentiment Analysis, Topic Modeling, Text Classification Python, SQL, Machine Learning, Model Explainability API integration, Power BI readiness, data engineering fundamentals Text preprocessing, tokenization, and vectorization Sentiment analysis and topic modeling fundamentals Efficient coding practices and code optimization Working with multilingual corpora and translation APIs Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) Advanced Data Visualization techniques Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

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 Description Job Title: Senior Developer - Celonis Location: Bangalore Reporting to: Director, GBS Commercial 1. Purpose of the role At AB InBev Celonis COE, we have a dream: build an insight-driven company. Our mission is to provide insight to power all transformation initiatives. We are creating agile teams of data engineers, architects, analysts and scrum masters to deliver on our mission. As a senior developer, you will be accountable for designing and deploying scalable, Celonis products, data pipelines and data models to process TB of data in optimized way to sustain our platform, enabling Insights analytics initiatives and data science. You should be passionate about process mining, business insights, big data, agile philosophy and customer centricity. This involves utilizing process mining, PQL transformations, action flow, and AI/ML capabilities to create products for our various business units worldwide. Additionally, you will be responsible for developing and coaching inhouse talents to sustain our talent pools and continue scaling up our capability. It is important that you can collaborate with different team to identify and implement the most suitable solutions for delivering insights with quality, governance, and sustainability. Furthermore, your role will involve influencing and collaborating with internal customers and other technical leaders across ABInBev to ensure adoption and growth of Celonis COE. 2. Key tasks & accountabilities As a Senior Developer at AB-InBev, working at Celonis COE, your role will be to support our team of product owners and developers by building Celonis products on the EMS platform. 3. Qualifications, Experience, Skills Technical skills required - Strong Knowledge in Celonis products development, - Experience in building products involving PQL transformation, data model creation, action flows, conformance checker and other Celonis functionalities - Strong experience in SQL development projects - Good functional understanding of SAP finance process and underlying table - Good knowledge of Python - Hands on with proved experience building and delivering data solutions - Experienced delivering complex data pipelines. Previous work experience required - Experienced leading, influencing, and coaching other Celonis Developers. - Experienced delivering projects with impact in the value chain. - Problem solver approach, must be able to systematically identify root cause and define action plans. - Able to work as a change agent building MVPs and PoCs and proposing new approaches to keep our data strategy always on the tech edge. - Used to work with agile frameworks and waterfall. And above all of this, an undying love for beer! We dream big to create future with more cheers