Job Title : Portfolio Manager Location: Bangalore, IN – Bellandur Area Company : United Breweries Limited Reports to : Manager Regional Programme Roles & responsibilities : Manages the relation with multiple stakeholders on a tactical and strategical level. Navigate the organizational challenge through the design, construction, and deployment processes. Maintain the project drumbeat, leads and guides through the deployment process. Monitors the delivery against plans, Design and lead the platform deployment plan and change strategy, ways of working and capabilities required to mobilize and collaborate with DBB Deployment, OpCo and Global Functions to align and achieve DBB program objectives. Collaborate with Regional Change & Comms to shape the change management strategy DBB vision, metrics of success and key messages. Ensure alignment with wider business agenda. Articulate the journey and anticipated outcomes to energize everyone through change. Ensure timely assessment of current capabilities. and closure of capability gaps. Resource management, leads planning and management of resources, ensuring utilization of resource with cost efficiency and quality prioritized. Leads multidisciplinary team. Motivates, manage, and inspire the project team, coaching to support individual development and improved team outcomes. Experience & Profile : Education: Bachelor’s / master’s degree. Overall 15-20 years Work experience: +5 years managerial experience required in a complex international environment. +5 years in cross functional programs and/or ERP/platform implementation. Required work experience in field of expertise: Strong understanding and experience working within and implementing complex change projects, developing and delivering change management and organizational impact strategy. Desirable experience leading technology – change implementation project. Demonstrated multi- cultural experience through international work placements. Seniority and stature to interact with multiple stakeholders. Strategic thinking: Ability to develop a clear vision for the future of the organization, understand the current set up, and identify the critical areas for improvement. Functional skills: Change Management, organizational transformation, Process (end-to-end) oriented thinking, analytical and conceptual thinking.
Senior Data Scientist – Hyderabad (Hybrid Mode) We are a team of passionate data and technology professionals building advanced analytical solutions for global business challenges. We’re currently seeking a Senior Data Scientist to join our growing analytics team in Hyderabad. This role offers the opportunity to work on impactful projects across various domains, including sales, marketing, logistics, and operations, while driving data-driven decision-making at scale. The mission of Global Analytics is to lead HEINEKEN into becoming a data-driven company and the best-connected brewer. As a team, we radiate a data-driven entrepreneurial culture to the rest of the company. We act as an incubator for smart data products in all business areas, from sales to logistics and marketing to purchasing. This approach has allowed us to grow rapidly and launch many value-creating use cases from the management of spare parts to the allocation of media spending. Work Mode: Hybrid Key Responsibilities: • Understand complex business problems and design smart, data-driven solutions. • Develop, test, and deploy machine learning models and algorithms to drive innovation. • Conduct advanced statistical and predictive analyses, including time series forecasting and decision trees. • Collaborate with data engineers and business stakeholders to implement scalable ML solutions. • Translate ambiguous business challenges into clear analytical requirements. Required Skills & Experience: • 8+ years of professional experience in data science, machine learning, or a related analytical field. • Strong proficiency in Python, including OOP (Object-Oriented Programming) concepts. • Hands-on experience with traditional ML algorithms such as decision trees, random forest, linear and logistic regression, and time series forecasting. • Solid understanding of model evaluation, validation, and deployment in production environments. • Experience working with Azure Machine Learning or other cloud-based ML platforms is a plus. • Good understanding of software engineering practices (unit testing, version control, CI/CD). • Strong problem-solving skills and ability to work both independently and collaboratively in a team. Why Join Us: • Work with a global, data-driven team in a dynamic and inclusive environment. • Opportunity to influence strategic decisions through data insights. • Hybrid work flexibility with a collaborative office culture. • Continuous learning opportunities through online courses and certifications. If you’re looking for an opportunity to work on exciting optimization challenges in a collaborative, innovative environment where your work has a real impact, we’d love to hear from you!
Job Tittle : State Trade Customer Marketing Education : MBA Job Grade : 9 Location : Chandigarh Job Responsibilities : Key Accountabilities Trade Marketing Operations | Co-create trade marketing plans in coordination with Sales teams & Regional Marketing Manager. Take charge of ensuring excellent outlet execution of trade marketing plans and PICOS across channels – off-trade and on-trade - taking assistance of sales teams or external vendors where required. Identify along with Sales teams and Data Analytics the right set of outlets for Visibility and Promo activations. Oversee and manage brand merchandise & assets in godowns; coordinate effective utilization of the same at the points of sale or where required. Arrange for and coordinate with external manpower from various agencies where required for execution of TM programs. Ensure Sales Assets like visicoolers are utilized effectively - proper deployment in correct outlets; proper placement within outlets; stocking as per agree planogram. Provide on-ground support for Brand team-led activations and events. | Budget Controlling and Compliance | Obtain approval from Regional Marketing Manager, regional finance and state head before onboarding vendor basis quality and price quoted as per defined guidelines Ensure timely PO raising before delivery of products/services and submission of bills to the finance team |
Senior Data Scientist We are a team of passionate data and technology professionals building advanced analytical solutions for global business challenges. We’re currently seeking a Senior Data Scientist to join our growing analytics team in Hyderabad. This role offers the opportunity to work on impactful projects across various domains, including sales, marketing, logistics, and operations, while driving data-driven decision-making at scale. The mission of Global Analytics is to lead HEINEKEN into becoming a data-driven company and the best-connected brewer. As a team, we radiate a data-driven entrepreneurial culture to the rest of the company. We act as an incubator for smart data products in all business areas, from sales to logistics and marketing to purchasing. This approach has allowed us to grow rapidly and launch many value-creating use cases from the management of spare parts to the allocation of media spending. Key Responsibilities: • Understand complex business problems and design smart, data-driven solutions. • Develop, test, and deploy machine learning models and algorithms to drive innovation. • Conduct advanced statistical and predictive analyses, including time series forecasting and decision trees. • Collaborate with data engineers and business stakeholders to implement scalable ML solutions. • Translate ambiguous business challenges into clear analytical requirements. Required Skills & Experience: • 8+ years of professional experience in data science, machine learning, or a related analytical field. • Strong proficiency in Python, including OOP (Object-Oriented Programming) concepts. • Hands-on experience with traditional ML algorithms such as decision trees, random forest, linear and logistic regression, and time series forecasting. • Solid understanding of model evaluation, validation, and deployment in production environments. • Experience working with Azure Machine Learning or other cloud-based ML platforms is a plus. • Good understanding of software engineering practices (unit testing, version control, CI/CD). • Strong problem-solving skills and ability to work both independently and collaboratively in a team. Why Join Us: • Work with a global, data-driven team in a dynamic and inclusive environment. • Opportunity to influence strategic decisions through data insights. • Hybrid work flexibility with a collaborative office culture. • Continuous learning opportunities through online courses and certifications. If you’re looking for an opportunity to work on exciting optimization challenges in a collaborative, innovative environment where your work has a real impact, we’d love to hear from you!
Senior Data Scientist We are a team of passionate data and technology professionals building advanced analytical solutions for global business challenges. We're currently seeking a Senior Data Scientist to join our growing analytics team in Hyderabad. This role offers the opportunity to work on impactful projects across various domains, including sales, marketing, logistics, and operations, while driving data-driven decision-making at scale. The mission of Global Analytics is to lead HEINEKEN into becoming a data-driven company and the best-connected brewer. As a team, we radiate a data-driven entrepreneurial culture to the rest of the company. We act as an incubator for smart data products in all business areas, from sales to logistics and marketing to purchasing. This approach has allowed us to grow rapidly and launch many value-creating use cases from the management of spare parts to the allocation of media spending. Key Responsibilities: Understand complex business problems and design smart, data-driven solutions. Develop, test, and deploy machine learning models and algorithms to drive innovation. Conduct advanced statistical and predictive analyses, including time series forecasting and decision trees. Collaborate with data engineers and business stakeholders to implement scalable ML solutions. Translate ambiguous business challenges into clear analytical requirements. Required Skills & Experience: 8+ years of professional experience in data science, machine learning, or a related analytical field. Strong proficiency in Python, including OOP (Object-Oriented Programming) concepts. Hands-on experience with traditional ML algorithms such as decision trees, random forest, linear and logistic regression, and time series forecasting. Solid understanding of model evaluation, validation, and deployment in production environments. Experience working with Azure Machine Learning or other cloud-based ML platforms is a plus. Good understanding of software engineering practices (unit testing, version control, CI/CD). Strong problem-solving skills and ability to work both independently and collaboratively in a team. Why Join Us: Work with a global, data-driven team in a dynamic and inclusive environment. Opportunity to influence strategic decisions through data insights. Hybrid work flexibility with a collaborative office culture. Continuous learning opportunities through online courses and certifications. If you're looking for an opportunity to work on exciting optimization challenges in a collaborative, innovative environment where your work has a real impact, we'd love to hear from you!
Senior Data Scientist About the Global Analytics Team The mission of Global Analytics is to lead HEINEKEN into becoming a data-driven company and the best-connected brewer. As a team, we foster a data-driven entrepreneurial culture across the company. We act as an incubator for smart data products in all business areas from sales to logistics, marketing, and purchasing rapidly launching value-creating use cases, such as optimized spare parts management and smarter media spending. This year, our focus is to scale these and other use cases to as many countries as possible around the globe. Our team comprises data scientists, engineers, business intelligence specialists, and analytics translators, working together to deliver data-driven solutions across the business. We operate across three continents, with satellite teams in South Africa, Poland, India, and Singapore. We are collaborative, innovative, and reliable, embracing diverse cultures and perspectives. We strive to create an environment where team members enjoy both the challenges they tackle and the people, they solve them with. We innovate to transform HEINEKEN from a traditional to a data-driven company. We position ourselves as a business partner, driving value-creating decisions and building trust in our solutions. If these challenges sound interesting and exciting, we invite you to apply. We have ambitious goals, and we need your help to achieve them. Position Overview We are seeking a highly skilled Senior Data Scientist to lead advanced analytics projects and deliver end-to-end data solutions. The ideal candidate will have extensive experience turning complex datasets into actionable insights through robust statistical and machine learning models. You will work closely with cross-functional teams (data engineers, analysts, product managers, etc.) to align data science initiatives with business objectives and deliver meaningful, data-driven insights. This role requires strong business acumen and exceptional technical skills, especially in Python programming and cloud-based deployment. Key Responsibilities End-to-End Model Development: Design, implement, and maintain full-stack data science workflows. This includes data ingestion (ETL/ELT), rigorous data preprocessing and feature engineering, model training, validation, and deployment into production. You will refactor and harden data preprocessing pipelines to improve stability and robustness, ensuring reliable data quality and consistency over time. Advanced Analytics & Machine Learning: Develop and optimize predictive models (regression, classification, forecasting, etc.) using state-of-the-art techniques. Continuously improve model accuracy by implementing advanced evaluation metrics such as weighted R², adjusted R², correlation coefficients, RMSE, and MAE. Enhance feature selection processes and hyperparameter optimization routines to extract maximum value from data. Model Stability & Validation: Perform comprehensive model stability testing and validation. Use fixed random seeds for reproducibility, bootstrap resampling to assess data variability, and temporal hold-out windows to evaluate model decay over time. Analyse feature stability and hyperparameter sensitivity to ensure model robustness across different customer segments, brands, packaging, or markets. Automate the baseline-model validation process to establish repeatable benchmarks and speed up iteration on new models. Productionization & Automation: Productionize helper functions and data pipelines. This includes automating calculations (e.g. conversion/redemption rates) and standardizing feature computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance standards. Technical Leadership (Individual Contributor): Act as a subject-matter expert and individual contributor on data science best practices. Write clean, maintainable code in Python (following OOP principles and design patterns) and document workflows in Jupyter Notebooks or VS Code. Stay current with emerging tools and techniques to continuously improve our data infrastructure and methodologies. Communication & Visualization: Translate technical results into clear business insights. Create dashboards or reports (e.g. using Power BI, Streamlit, or similar) to present findings to non-technical stakeholders. Provide concise documentation and explanation of model assumptions, limitations, and impacts on business decisions. Required Qualifications and Skills Education & Experience: MS or PhD in Computer Science, Statistics, Mathematics, or a related field. At least 8+ years of experience (or equivalent proven track record) building and deploying data science and machine learning solutions in a business setting Programming & Technical Skills: Expert proficiency in Python (including OOP and design patterns) for data science. Comfortable coding in Jupyter Notebook and VS Code. Hands-on experience with ML libraries (scikit-learn, TensorFlow, PyTorch) and data libraries (pandas, NumPy). Familiarity with big data tools (Spark, Dask, etc.) and version control (Git). Cloud & Deployment: Demonstrated expertise with Azure cloud services for end-to-end data solutions. This includes Azure Machine Learning (for model development and deployment), Azure Data Factory (ETL/ELT pipelines), Azure Databricks (data processing), and related services. Ability to architect scalable data pipelines and CI/CD processes in Azure is crucial. Experience with containerization (Docker) and orchestration (Kubernetes) is a plus. Statistical & Analytical Skills: Deep understanding of statistical modelling, experimental design, and machine learning. Ability to select and apply appropriate evaluation metrics and rigorously validate models to ensure high predictive performance. Familiarity with advanced techniques (e.g. Bayesian methods, time series analysis) is beneficial. Business Acumen & Communication: Strong business sense to translate analytical outputs into actionable strategies. Proven ability to collaborate with stakeholders and clearly communicate complex technical concepts to non-technical audiences. Soft Skills: Highly organized, proactive problem-solver who thrives in a fast-paced environment. Self-motivated individual contributor with a continuous learning mindset. Attention to detail and commitment to quality in all deliverables. Why Join Us Impact: Work on mission-critical projects where your models directly influence key business decisions and drive value. Innovation: Leverage cutting-edge tools and frameworks in an environment that encourages experimentation and learning. Growth: Collaborate with a multidisciplinary team of experts; receive support and resources to advance your career as a data science leader. Culture: Join a collaborative, inclusive team that values shared knowledge, clear communication, and strong work–life balance. If you are passionate about building robust, production-quality data science solutions and have the depth of expertise to drive projects from data to deployment, we want to hear from you. Apply now to become our Senior Data Scientist and help propel our organization toward data-driven excellence!