AI Data Scientist (m/f/d)

Your new company

You will be joining an innovative organisation operating at the intersection of data, technology and artificial intelligence. With a strong focus on digital transformation and data-driven decision-making, the company leverages advanced analytics and machine learning to solve complex business challenges, optimise operations and create impactful solutions across its business areas.

Your new role

As an AI Data Scientist, you will play a key role in transforming complex datasets into actionable insights and predictive solutions. Working closely with business stakeholders, engineers and technical teams, you will analyse large volumes of data, identify patterns and develop machine learning models that support strategic decision-making.

You will be involved throughout the entire data science lifecycle, from data preparation and exploratory analysis to model development, validation and performance monitoring. In addition, you will help communicate findings to both technical and non-technical audiences, ensuring that data-driven insights generate measurable business value.

What you'll need to succeed

• Strong experience with Python for data analysis and machine learning

• Solid SQL skills and experience working with relational databases

• Strong understanding of statistics, probability and data modelling

• Experience building and evaluating machine learning models

• Knowledge of data visualisation and storytelling techniques

• Familiarity with Git and modern data science tooling

• Strong analytical and problem-solving skill

• Excellent communication and stakeholder management abilities

• Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or a related field

What you'll get in return

• Opportunity to work on innovative AI and Machine Learning initiatives

• Exposure to complex and impactful data-driven project

• Collaborative and technology-focused environment

• Continuous learning and professional development opportunities

• Career growth within a rapidly evolving area of technology

What you need to do now