Senior Data Scientist & AI Project Lead
Role details
Job location
Tech stack
Job description
*Lead and oversee end-to-end execution of data science and GenAI projects, ensuring alignment with business goals.
*Coordinate with external & internal data teams and vendors to optimize project outcomes.
*Run and steer (Gen)AI projects by orchestrating different stakeholders, teams and external suppliers.
*Drive collaboration across different business functions to gather requirements, refine objectives.
*Develop, fine-tune, and implement machine learning models and algorithms for predictive analytics and GenAI applications.
*Adapt existing data science solutions to new but similar business use cases, optimizing performance and applicability.
*Conduct hands-on data analysis and model development for smaller-scale projects where direct implementation is feasible.
*Ensure high-quality documentation of workflows, methodologies, and project outcomes for transparency and continuous improvement.
*Present analytical insights and project progress to stakeholders, translating complex findings into actionable business strategies.
Requirements
*Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related scientific field.
*5+ years of experience in data science, machine learning, and analytics, with a strong focus on AI-driven solutions.
*Proven track record in running data science projects and coordinating internal and external teams.
*Proficiency in programming languages such as Python and SQL, with experience in data processing and visualization tools (e.g. Alteryx, Azure Data Factory, Tableau, Power BI).
*Hands-on experience in developing and fine-tuning machine learning models. Hands-on experience with Generative AI technologies is a plus.
*Strong analytical and problem-solving skills with an eye for adapting and scaling existing models to new business use cases.
*Hands-on entrepreneurial mindset with a clear focus on value delivery.
*Excellent stakeholder management and communication skills, with the ability to bridge technical and business teams.
*Experience in the pharmaceutical or FMCG industry is a plus.