Data Scientist Consultant

Keystone Solutions

Brussel, Belgium

about 1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Languages

Dutch, English, French

Job source

be.indeed.com

Tech stack

Agile Methodology Artificial Intelligence Python (Programming Language) Machine Learning Speech Recognition Prompt Engineering Deep Learning Generative AI Git

Job description

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., * Consultancy Nature: Embrace your identity as a consultant, working on-site and representing Keystone Solutions in every client engagement.
Dynamic Projects: Experience a wide variety of challenges across different client environments, ensuring no two missions are ever the same.
Turbo-Charged Learning: Accelerate your professional development and broaden your expertise through exposure to diverse projects and technologies.
Skyrocketing Ambition: Grow your career within a framework that values ambition and supports your upward trajectory.
K-Stone Values: As a K-Stone, you bring our core values-collaboration, innovation, and commitment-to every mission.

Requirements

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.