We are seeking a highly skilled Senior Data Scientist to join our team and drive advanced data analytics, machine learning initiatives, and data-driven decision-making processes. The ideal candidate will have extensive experience in Python programming , with additional expertise in cloud platforms such as AWS or Azure being advantageous. 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.
