Capgemini

Data Science Lead

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SeniorHybryda·BydgoszczFull-time

#356654·Dodano 5 miesięcy temu·3

Źródło: Capgemini

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Tech Stack / Keywords

Data ScienceAIArchitectureSecurityNLP PythonCloud

Firma i stanowisko

Capgemini is a global leader partnering with companies to transform and manage their businesses, with over 340,000 people in more than 50 countries and a 55+ year heritage. The Group delivers end-to-end services from strategy and design to engineering, powered by AI, cloud, and data capabilities. The role is within Group IT, which delivers enterprise-wide solutions by harmonizing global standards and integrating business units into a unified IT services model, driving transformative rollouts to enhance security, streamline operations, and elevate digital experiences globally.

Wymagania

Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field
7+ years of experience in Data Science, with strong exposure to NLP, retrieval augmented systems, LLMs, or applied AI solutions
Proven experience leading Data Science teams and defining experimentation and evaluation frameworks
Strong knowledge of LLMs, embeddings, vector search, and model evaluation techniques
Hands on experience with Python, notebooks, and AI experimentation tooling
Comfortable working in cross functional environments with product, engineering, architecture, and knowledge teams

Obowiązki

Lead Data Science activities across multiple streams, ensuring consistent methodologies, evaluation standards, and model quality
Define and implement experimentation frameworks, test protocols, and evaluation strategies for AI features
Establish best practices for prompt evaluation, feasibility assessments, and iterative model improvement
Oversee how AI models interact with Neo’s knowledge base to ensure accuracy, relevance, and controlled behaviour
Guide Data Scientists in refining models based on feature intake requirements and platform constraints
Collaborate closely with engineering and architecture teams to ensure models are ready for integration into production environments
Act as the central authority on AI model quality, validation, and alignment across Neo
Drive continuous improvement of Data Science standards and practices as the platform evolves

Benefity

Extensive career growth programs
Flexible working arrangements
Supportive environment for continuous development

Elastyczne godziny

Capgemini

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