Data Scientist
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We'refast learners, hard workers, natural collaborators... and we MakeModern Happen
Ourambition is to unlock the potential of our digital world so that organisationseverywhere can innovate and thrive securely.
We aim to achieve this goal bybringing together the world's most talented people and the most powerfultechnologies, combining them to address our customers' challenges and to buildsomething stronger together.
Right now, we are looking for a Data Scientist for a client on our Talent Team.
Your responsibilities include:Support the development and deployment of machine learning models for business optimizationDesign and develop LLM applications for business use casesConduct Exploratory Data Analysis (EDA) on large datasets to uncover trends, patterns, and validate hypotheses that inform business strategiesBuild dashboards to track metrics and communicate insights effectivelyResearch and experiment with emerging AI trends (Deep Learning, LLMs) to propose innovative solutionsYou must have:Master's degree in Engineering (Computer Science, Electrical, Mechanical, Aerospace, Biomedical, etc.), Physics, Data Science, Statistics, Mathematics, or related quantitative fieldAt least 1 -2 years of experience in dedicated data science / machine learning roles.
Proven track record of building and deploying machine learning models in production environments.
Strong foundation in machine learning with practical deep learning experience through coursework, thesis, projects, internships, or academic researchExperience with at least one deep learning domain (Computer Vision, NLP, audio processing, etc.)Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras, or similar)Familiarity with traditional ML libraries (scikit -learn, XGBoost) and data visualization toolsKnowledge of LLMs and prompt engineering/fine -tuning is a significant plusStrong analytical and problem -solving abilities with attention to detailClear communication skills to explain technical concepts to diverse audiencesProactive mindset with eagerness to learn, grow, and tackle new challengesExcellent communication skills and the ability to collaborate effectively with cross -functional teams; A critical mindset, curiosity, and a strong commitment to continuous improvement.
We offer
- Integration into a dynamic andmotivated team for the performance of the role.
Additional training.
Salary package according to the roleperformed.