Data Scientist - AI & Machine Learning

About the Opportunity:

Our customer are a highly progressive and expanding business who due to high growth and new innovative projects are looking for highly skilled Data Scientists to join their AI team and play a pivotal role in developing and deploying cutting edge machine learning models that power business insights and automation.

This is a fantastic opportunity to work closely with engineers, product managers, and business leaders to build scalable AI solutions, and contribute to the broader AI and data strategy.

Key Responsibilities include:

• Develop and Deploy AI Models: Design and implement machine learning algorithms, predictive analytics, and AI-driven models to solve real-world business challenges.
• Advanced Data Exploration & Analysis: Work with structured and unstructured data to identify trends, detect patterns, and generate actionable insights.
• Feature Engineering & Model Optimization: Enhance data pipelines, optimize model performance, and apply A/B testing methodologies for continuous improvement.
• AI Integration & Deployment: Collaborate with software engineers, MLOps specialists, and cloud teams to deploy AI models into production environments.
• Experimentation & Research: Stay ahead of the curve by researching emerging AI methodologies, deep learning architectures, and data science best practices to enhance our AI capabilities.
• Big Data & Cloud Computing: Utilize AWS, GCP, or Azure for scalable data processing, model training, and AI deployment.
• Collaboration & Business Impact: Work cross-functionally with stakeholders to define AI-driven strategies and deliver measurable business outcomes.

Key Qualifications & Skills:

• Education: Bachelor's or Master’s in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
• Programming Expertise: Proficiency in Python, R, and SQL for data manipulation, machine learning, and analytics.
• Machine Learning Frameworks: Hands on experience with TensorFlow, PyTorch, Scikit-learn, or Keras for deep learning and ML model development.
• Big Data Processing: Experience with Spark, Hadoop, or distributed computing frameworks for handling large-scale datasets.

AI Specializations: Expertise in one or more of the following areas:

• Natural Language Processing (NLP) (transformers, LLMs, text classification)
• Computer Vision (image recognition, object detection, GANs)
• Generative AI (ChatGPT, Stable Diffusion, AI-assisted content generation)
• Cloud & MLOps: Familiarity with AWS SageMaker, Google Vertex AI, Docker, Kubernetes, and CI/CD pipelines to deploy and manage models at scale.
• Data Visualization & Communication: Ability to present complex data findings through dashboards, reports, and visualizations using Tableau, Power BI, or Matplotlib.
• Problem Solving & Critical Thinking: Strong analytical mindset with the ability to translate business challenges into AI-driven solutions.

What is on offer:

• Work on high stakes AI projects that transform industries and drive real-world impact.
• Cutting-Edge Technology: Access to state-of-the-art AI tools, GPUs, and cloud infrastructure to push the boundaries of machine learning.
• Flexible Work Environment.
• Competitive Compensation & Benefits: Fantastic salary in this market and benefits package designed to attract the best AI talent including health insurance, bonuses.
• Company is big on investing in talent. through development training, AI conferences, certifications, and research collaborations.

If you are interested to discuss further please get in touch.