Data Scientist Consultant

This is a consultancy mission at a client site, where you will represent Keystone Solutions as a Data Scientist. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and our values to every engagement.

• →Address a variety of business challenges by developing AI applications (such as virtual assistants) to enhance client experiences, empower employees, and automate or optimize internal processes.
• →Apply a wide range of analytical methodologies, including generative AI and predictive AI techniques: Prompt Engineering, RAG, fine-tuning, speech-to-text, agentic applications, image generation and interpretation, NLP, and classical statistical/machine learning methods. Strong expertise in core technologies is required, along with the ability to learn new methods as needed.
• →Demonstrate extensive experience in Python programming and contribute to deploying AI applications in production using a comprehensive stack of tools.
• →Present your work directly to top management.
• →Work with one of the richest and most varied data sets in the market.
• →Thrive in an environment that values innovation, lean processes, straightforward communication, and teamwork.
• →Collaborate with colleagues in an Agile organization who are eager to share their experience and knowledge.

• At least a Master’s degree in a quantitative discipline such as statistics, mathematics, or engineering. Candidates with other academic backgrounds and substantial analytics knowledge are also encouraged to apply.
• Minimum of 3 years of relevant experience in Data Science and Analytics.
• Technical experience (mandatory): Python, deep learning, and pre-trained models.
• Technical experience (preferable): Domino, git, GenAI frameworks (prompt engineering, finetuning, agentic tools such as LangGraph, ADK, MCP, etc.).
• Business experience (preferable): GenAI Application for Finance.
• Soft skills: Team player, business oriented, quick self-starter, proactive attitude, strong communication and influencing skills, analytical and synthesis skills, autonomy, commitment, perseverance, and ability to work in a dynamic and multicultural environment.
• Language requirements: Fluent in Dutch or French, and fluent in English.