Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description We are seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our Data&AI team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics. You will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making. Qualifications More than 5 years of experience in data science, AI, or related fields. Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with BI tools such as Tableau, Power BI, or similar for data visualization. Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics. Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions. Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms. Knowledge of data warehousing concepts and ETL processes. Excellent problem-solving and analytical skills. Effective communication and client-facing skills. Experience in contributing to pre-sales and business development activities. Certifications in AI/ML, data science, or cloud platforms are a plus. Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus. Business proficiency level in English is a must. Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; Health: Global internal wellbeing programme, access to wellbeing apps; Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. #J-18808-Ljbffr