Emerging Technologies jobs

About the Job

We are seeking a data-driven and analytical Data Scientist to develop data-driven solutions that support business operations and decision-making. The role involves analysing complex datasets, building machine learning models, automating data workflows, and developing AI-powered solutions to address practical business challenges. You will work with large-scale datasets and modern data science tools to uncover insights, improve processes, and deliver scalable solutions.

Key Responsibilities

• Analyse and preprocess large datasets to identify trends, patterns, anomalies, and actionable insights.
• Develop and evaluate statistical and machine learning models for prediction, classification, forecasting, and optimisation.
• Perform exploratory data analysis, feature engineering, model selection, and hyperparameter optimisation.
• Build automated data processing and machine learning pipelines to improve efficiency and scalability.
• Develop data visualisations, dashboards, and reports to communicate insights and key performance indicators.
• Apply statistical methods to investigate relationships within data and support data-driven decision-making.
• Develop AI and machine learning solutions for business and operational problems.
• Utilise cloud computing resources, including CPU and GPU infrastructure, for large-scale data processing and model training.
• Collaborate with business and technical stakeholders to translate requirements into practical data science solutions.
• Research and evaluate emerging AI/ML techniques and technologies for potential application to business problems.

Requirements

• Bachelor's degree in Data Science, Engineering, Computer Science, Statistics, Mathematics, or a related field.
• Strong foundation in statistics, data analysis, machine learning, and optimisation.
• Proficiency in Python and/or R for data analysis and machine learning.
• Experience with NumPy, pandas, scikit-learn, Matplotlib, and Seaborn.
• Familiarity with SQL and relational databases.
• Experience with data visualisation and business intelligence tools such as Power BI or Plotly.
• Understanding of machine learning algorithms, model evaluation, feature engineering, and hyperparameter tuning.
• Strong problem-solving and analytical skills with the ability to communicate technical findings clearly.
• Ability to work with large datasets and optimise data processing workflows.
• Internship, research, or project experience in data science, machine learning, or AI is an advantage.

Preferred Skills (Added Advantage)

• Experience with LightGBM, XGBoost, or other gradient-boosting frameworks.
• Familiarity with Optuna or other hyperparameter optimisation frameworks.
• Experience with Dask, Polars, or other tools for large-scale data processing.
• Exposure to Google Cloud Platform (GCP) or other cloud computing platforms.
• Experience working with Docker, Git, and Linux development environments.
• Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Familiarity with LangChain or similar LLM application frameworks.
• Experience developing APIs or integrating machine learning models into applications using tools such as FastAPI.
• Exposure to computer vision and deep learning frameworks such as PyTorch or Ultralytics YOLO.

Pay: $5,000.00 - $7,000.00 per month

Benefits:

• Gym membership
• Professional development
• Work from home

Work Location: In person