Consultant - Data Science

Company Description

Crazibrain Solutions is a product and services company that delivers consulting, digital technology, promotions, and analytics solutions to help organizations enhance performance and create measurable value. The company specializes in RTM transformation and strategy consulting, project management, and advanced RTM and supply chain analytics. Its Go-To-Market product suite includes intelligent tools such as iScan for image recognition, iAM for asset management, mCrew for KYC and direct benefit transfer, and Partner 360 for dealer and distributor lifecycle management. Crazibrain Solutions also offers Thriive/Sparklii loyalty platforms and iQlytics, a unified analytics solution for RTM and supply chain insights. Team members collaborate with diverse clients and modern technologies in a results-focused environment.

Role Description

We are seeking an experienced and business-oriented Data Science professional to drive advanced analytics, Generative AI initiatives, forecasting solutions, and process automation across the organization. This role will partner closely with business stakeholders to convert data into strategic insights, enhance decision-making, and develop scalable AI-powered solutions that improve operational efficiency and business performance. The role will also involve working closely with clients to understand their business requirements, provide data-driven recommendations, and deliver impactful analytics and AI solutions. The ideal candidate should possess strong expertise in machine learning, data analytics, AI technologies, business forecasting, and automation, preferably within the FMCG, consumer goods, or beverage industry.

Key Responsibilities

• Design and manage interactive dashboards and reporting solutions using Power BI to track sales, distribution, market performance, and commercial effectiveness.
• Analyze large datasets to uncover trends, business opportunities, risks, and performance drivers.
• Develop KPI frameworks and executive scorecards to enable data-driven decision-making.
• Streamline reporting processes through automated workflows and centralized data access mechanisms.
• Build and deploy Generative AI applications leveraging large language models such as GPT, Claude, Gemini, and open-source alternatives.
• Develop AI-powered solutions for automated report creation, knowledge extraction, document summarization, and business query assistance.
• Implement Retrieval-Augmented Generation (RAG) architectures and experiment with agent-based frameworks such as LangChain, CrewAI, LlamaIndex, or similar technologies.
• Apply machine learning and NLP techniques to address business challenges including customer segmentation, promotion analysis, demand optimization, and predictive modeling.
• Develop statistical and machine learning-based forecasting models to improve sales planning and inventory management.
• Partner with finance teams to create financial forecasting models, profitability analyses, and budgeting frameworks.
• Support annual planning cycles and strategic business initiatives through scenario modeling and predictive insights.
• Provide recommendations to leadership based on forecasting outputs and business simulations.
• Identify opportunities to reduce manual effort through automation using Python, SQL, and workflow orchestration tools.
• Build and maintain reliable ETL processes that ensure data accuracy, consistency, and availability across systems.
• Develop monitoring and alerting mechanisms to identify anomalies in sales, inventory, finance, and operational datasets.
• Continuously improve data workflows and reporting efficiency through scalable automation solutions.

Preferred Qualifications

• Exposure to workflow automation and orchestration platforms such as Airflow, dbt, UiPath, or Microsoft Power Automate.
• Understanding of MLOps practices including model deployment, monitoring, governance, and lifecycle management.
• Experience working with modern cloud data warehouses such as Snowflake, BigQuery, or Amazon Redshift.
• Prior experience supporting FMCG, beverage, consumer products, or related industries.

Education & Experience

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or a related discipline.
• 5–7 years of professional experience in Data Science, Advanced Analytics, Business Intelligence, or related functions.
• Demonstrated experience delivering measurable business outcomes through analytics and AI-driven initiatives.
• Minimum 1–2 years of hands-on exposure to Generative AI technologies and real-world implementations.