Data Scientist

Familiarity with Generative AI (Gen AI) concepts will be a significant asset as we continue to explore cutting-edge technologies for business solutions.

Key Responsibilities:

• Lead the development and implementation of data science models, including machine learning, deep learning, and statistical models to address business challenges.
• Design, develop, and optimise end-to-end data pipelines to extract, transform, and load data for analysis.
• Collaborate with cross-functional teams to identify and deliver impactful data insights that influence business decisions.
• Apply advanced machine learning techniques, including natural language processing, predictive modelling, and optimisation.
• Stay abreast of the latest developments in Generative AI and evaluate its potential applications within the organisation.
• Mentor junior data scientists and data engineers, providing guidance on best practices and model development.
• Work with large datasets to build predictive models and perform data-driven decision-making.
• Deploy and manage machine learning models in production environments on cloud platforms (AWS or Azure).
• Collaborate with stakeholders to define project objectives, scope, and deliverables.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Data Science, Mathematics, Computer Science, Statistics, or a related field.
• 5+ years of experience in data science, machine learning, or a related role.
• Proficiency in Python for data analysis, machine learning, and statistical modelling.
• Experience with cloud technologies such as AWS or Azure for building and deploying models.
• Strong experience with SQL for querying databases and manipulating data.
• Experience working with libraries and frameworks such as Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch.
• Solid understanding of machine learning algorithms, including regression, classification, clustering, and deep learning.
• Familiarity with Generative AI and its applications will be an added advantage.
• Experience in data visualisation tools such as PowerBI, Tableau, or Matplotlib.
• Excellent problem-solving skills and ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with CI/CD pipelines for machine learning models.
• Strong understanding of MLOps and managing machine learning lifecycle in production environments.
• Certification in AWS or Azure (e.g., AWS Certified Machine Learning Specialty, Microsoft Azure AI Engineer Associate).
• Familiarity with natural language processing (NLP) and deep learning models.