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Role Summary: Our Data & Analytics consulting team is dedicated to helping clients harness data and artificial intelligence to optimize business operations and drive informed decision-making. As a Data Scientist & Senior Data Analyst – Data Analytics & AI , you will lead and deliver advanced analytics initiatives, machine learning projects, and data-driven solutions for clients across diverse industries. You will collaborate with cross-functional teams to design sophisticated analytics use cases, implement cutting-edge AI-driven strategies, and translate complex data into actionable business insights. We pride ourselves on a client-centric, results-oriented approach – delivering measurable outcomes and sustainable improvements through innovation in data and AI. Key Responsibilities: Analytics Solution Delivery: Design, develop, and implement advanced analytics and AI use cases end-to-end, from concept and data acquisition to model deployment and operationalization, all tailored to client needs. Data Analysis & Insights: Perform in-depth data analyses (descriptive, diagnostic, predictive) on large datasets. Uncover trends and patterns, and support clients with clear, impactful insights and recommendations that drive data-informed business decisions. Machine Learning & AI Development: Build, train, and validate machine learning models (e.g., predictive models, classification, clustering) and AI solutions using state-of-the-art tools and frameworks. Ensure models are robust, reliable, and deliver demonstrable business value. Results Presentation & Communication: Interpret and visualize analytical results. Present complex findings in a clear, concise manner to both technical and non-technical client stakeholders, enabling them to understand and act on the insights. Client Collaboration: Work closely with clients to understand their business challenges and data landscape. Advise on analytics strategy, data management best practices, and opportunities to leverage emerging technologies (such as generative AI ), applying responsible AI practices to ensure ethical, sustainable outcomes. Project Leadership & Mentoring: Coordinate project tasks among team members, ensuring timely delivery of high-quality results. Provide mentorship to junior analysts and data scientists, and contribute to knowledge sharing and capability building within the team. Required Qualifications & Skills: Educational Background: Master’s degree (or equivalent) in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. (A Bachelor’s degree combined with strong relevant experience will also be considered.) Data Analysis & Engineering: Proven ability to extract, prepare, and analyze data from diverse sources (structured and unstructured). Strong proficiency in SQL and data querying; familiarity with data modeling and database concepts (NoSQL knowledge is a plus). Programming & Tools: Proficiency in analytics programming, especially Python (and/or R). Hands-on experience with data science libraries and frameworks (e.g., pandas , scikit-learn , TensorFlow , Keras , PyTorch , Spark MLlib ) and data visualization tools (e.g., Power BI , Tableau ). Machine Learning Expertise: Solid foundation in statistics and mathematics to develop, validate, and interpret complex analytical models. Experience building machine learning models (supervised and unsupervised) and knowledge of the end-to-end model lifecycle from development to deployment. Consulting & Communication: Excellent communication and presentation skills. Ability to convey technical concepts and insights in a clear, compelling way to business stakeholders. Experience in a client-facing role or consulting environment, demonstrating a client-focused approach and the ability to adapt solutions to different business contexts. Professional Experience: Several years