About the Role /n We are looking for a seasoned Director – Data Science to help build and scale our next-generation Revenue Growth Management (RGM) practice, combining deep expertise in Data Science, advanced analytics, commercial decision-making, and large-scale program delivery. /n The ideal candidate will have deep experience applying advanced analytics and data science across multiple RGM levers such as Pricing, Promotion, Assortment, and Trade Planning/Trade Investment Management, and will be responsible for driving enterprise-scale solutions for global clients across CPG, Retail, Healthcare &

• Life Sciences, and Travel &

• Hospitality. /n The focus is on building decision intelligence platforms, scalable RGM solutions, AI-powered products, and commercial transformation programs within our existing Data Science leadership expectations while bringing strong domain depth. /n Key Responsibilities /n Revenue Growth Management &

• Data Science Leadership /n · Lead end-to-end execution of advanced analytics, AI, and Data Science programs across multiple RGM domains: /n o Pricing &

• Price Optimization /n o Price Elasticity Modeling /n o Trade Promotion Optimization (TPO) /n o Assortment Optimization /n o Trade Investment Effectiveness /n o Revenue Planning &

• Forecasting /n o Consumer &

• Commercial Analytics /n · Design and implement enterprise-grade RGM solutions that integrate multiple commercial levers rather than isolated analytics engagements. /n · Drive the development of scalable Decision Intelligence systems that support commercial decision-making. /n · Apply advanced statistics, machine learning, optimization, forecasting, causal analytics, and AI techniques to solve complex revenue growth challenges. /n · Establish best practices for model development, validation, deployment, and business adoption. /n Solution Development &

• Innovation /n · Build and scale enterprise RGM platforms and AI-powered commercial solutions. /n · Drive adoption of GenAI and Agentic AI capabilities within commercial and RGM ecosystems. /n · Develop reusable accelerators, frameworks, and solution assets across RGM domains. /n · Partner with industry and practice leaders to create differentiated offerings for clients. /n Client Advisory &





• Commercial Consulting /n · Act as a trusted advisor to client stakeholders and executive leadership. /n · Lead solution workshops, value discovery discussions, and transformation roadmaps. /n · Translate business problems into analytics and AI-driven solutions. /n · Communicate complex analytical insights and solution approaches to both technical and non-technical audiences. /n Project &

• Program Leadership /n · Oversee project delivery timelines, quality metrics, commercial outcomes, and delivery governance. /n · Manage large-scale analytics and AI engagements across global clients. /n · Act as the bridge between business stakeholders, domain experts, data scientists, and engineering teams. /n · Identify and mitigate project risks while ensuring alignment with business objectives. /n Practice Building &

• Pre-Sales /n · Contribute to business development, solutioning, proposals, RFPs, and strategic pursuits. /n · Support growth of the RGM practice through thought leadership and capability development. /n · Build relationships across clients, industry leaders, and ecosystem partners. /n · Drive innovation initiatives and contribute to the development of future-state RGM offerings. /n Team Leadership /n · Lead and mentor teams of data scientists, data engineers, consultants, and analysts. /n · Foster a culture of innovation, collaboration, and continuous learning. /n · Develop future leaders and strengthen organizational capabilities in RGM and Data Science. /n ___ /n Required Qualifications /n · 15–20 years of overall experience with significant experience in Data Science, Analytics, and Commercial Transformation. /n · At least 8–10 years of experience leading advanced analytics and Data Science programs. /n · Strong domain expertise across two or more RGM levers, including:



/n o Pricing /n o Promotion / Trade Promotion Optimization /n o Assortment Optimization /n o Trade Planning / Trade Investment Management /n · Proven experience delivering enterprise-scale analytics and AI solutions in commercial functions. /n · Strong understanding of internal and external data ecosystems used within RGM. /n · Hands-on expertise in machine learning, statistical modeling, optimization, forecasting, and AI-driven decision-making. /n · Deep technical expertise in processing and analyzing large-scale time series, syndicated, POS, shipment, pricing, promotion, and trade investment data. /n · Strong quantitative foundation in regression, regularization, causal inference, forecasting, hierarchical Bayesian modeling, and model diagnostics for commercial analytics use cases. /n · Hands-on experience solving complex optimization problems, including MILP, MINLP, constrained optimization, simulation, scenario planning, and trade-off analysis. /n · Practical expertise with open-source and commercial optimization solvers and scalable implementation approaches for computationally intensive workloads. /n · Ability to evaluate RGM models using both technical metrics and business outcomes, including elasticity quality, forecast accuracy, promotion lift, halo, cannibalization, demand transference, margin, revenue, and ROI impact. /n · Experience with Python, R, SQL, and modern analytics ecosystems. /n · Strong MLOps and productionization experience, including distributed computing, model monitoring, retraining, governance, reproducibility, and deployment of large-scale analytics pipelines. /n · Demonstrated leadership managing large teams and complex client engagements. /n · Robust client-facing, consulting, and stakeholder management experience. /n · Advanced degree in Data Science, Statistics, Mathematics, Economics, Operations Research, Computer Science, Engineering, or related field. /n /n Key Differentiator /n This role offers the opportunity to build the future of Revenue Growth Management by combining RGM expertise, Data Science, AI/ML, GenAI, and Decision Intelligence to create enterprise-scale solutions that transform how commercial decisions are made. Candidates should have demonstrated Data Science experience across multiple RGM levers (at least two of Pricing, Promotion, Assortment, or Trade Planning).

📌 Director - Data science (RGM) (Bengaluru)
🏢 Tredence
📍 Bengaluru