Senior Data Scientist

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: • The work we do and the innovation we drive • Our values of share, care a nd dare • A workplace culture that fosters creativity, diversity and autonomy • Our borderless, global framework, which enables seamless collaboration The role As a Data Scientist , you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 5+YEARS of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: • A curious problem solver who challenges the status quo • A collaborator who values teamwork and knowledge-sharing • Excited by the intersection of technology, creativity and data • Experienced in Agile methodologies and consulting (a plus) Role responsibilities Generative AI Innovation & Strategy • Lead GenAI Initiatives: Spearhead the identification of business scenarios where Generative AI (LLMs, GANs, Diffusion models) can be effectively applied to create tangible value. • R&D & Prototyping: Research, design, and prototype cutting-edge approaches, exploring existing scientific research to inform solution development. • Feasibility Analysis: Evaluate the technical and economic feasibility of Generative AI solutions for real-world client use cases. • Vision Shaping: Collaborate with Product Managers and stakeholders to shape a clear, forward-looking vision of AI technology and its practical applications. Technical Execution & Implementation • End-to-End Development: Implement and validate AI solutions for diverse business challenges, writing production-ready code using best engineering practices. • Optimization: Optimize deep learning models for production environments to ensure scalability and latency requirements are met. • Cross-Functional Collaboration: Collaborate closely with the ML Engineering team throughout all stages of the lifecycle, from initial research to final implementation. • Data Strategy: Oversee the data mining process, including data collection, cleansing, and exploratory analysis to support model training and fine-tuning. Must have qualifications To be considered for this role, you must meet the following essential qualifications: • Experience & Education • Total Experience : Minimum of 4+ years in Data Science and Analytics. • Specialized Experience : Minimum 3+ years focused specifically on developing generative models (LLMs, GANs, VAEs, Diffusion models) and Deep Learning. • Education : Bachelor’s or Master’s Degree in Computer Science, Mathematics, Applied Statistics, or a related field. Technical Skills Core AI/ML : Expertise in Computer Vision and NLP, with specific experience handling multimodal data (images, text, audio). GenAI Stack : Familiarity with Gemini, OpenAI GPT-x, open-source LLMs (Llama, Mistral, etc.), and experience in fine-tuning models (PEFT, LoRA). • Retrieval-Augmented Generation (RAG): Expertise in designing RAG architectures to ground LLM responses in proprietary data. Vector Databases : Proficiency with vector stores such as Pinecone, Milvus, Weaviate, or ChromaDB for efficient semantic search and retrieval. Prompt Engineering : Advanced skills in prompt optimization, chain-of-thought reason