Data Scientist

Are you a Data Scientist looking to work on challenging AI projects that deliver real-world impact?, You’ll work alongside data scientists, engineers, and domain experts to design, build, and deploy data-driven solutions. This is an opportunity to work on varied and impactful projects while continuing to develop your technical expertise in AI and machine learning., * Apply statistical and machine learning techniques to solve complex business and operational challenges.

• Perform data cleaning, transformation, and feature engineering across large and diverse datasets.
• Build, train, validate, and optimise machine learning models.
• Translate technical findings into clear insights for both technical and non-technical stakeholders.
• Collaborate with engineering teams to deploy models into real-world environments.
• Keep up to date with developments across AI, machine learning, and data science.

• Strong Python programming skills with experience across data science and machine learning workflows.
• Solid understanding of machine learning algorithms and statistical modelling.
• Experience using ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation.
• Experience working with large datasets and applying analytical techniques.
• Familiarity with Git and reproducible research practices.

Desirable Experience

• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of MLOps practices and tooling.
• Experience in areas such as NLP, time series analysis, or computer vision.
• Comfortable presenting technical work and insights to stakeholders.

• The opportunity to work on meaningful AI projects with real-world impact.
• A collaborative environment focused on learning, innovation, and career development.
• Competitive salary and benefits package.
• Access to training, industry events, and research opportunities.

If you’re passionate about using AI and data science to solve complex problems, we’d love to hear from you.