Data Scientist

About the role

Key Responsibilities

• Collaborate with the Data team to develop and enhance data pipelines using Natural Language Processing (NLP) techniques and tools such as NLTK and SpaCy.
• Design, build, and validate AI/ML models to identify entities and accurately map them to JATO's internal datasets across multiple use cases and data sources.
• Expand and improve existing capabilities to process and analyse both text and image-based data.
• Support the deployment, monitoring, maintenance, and continuous improvement of AI and machine learning solutions in production environments.
• Contribute actively within the Data Science team by sharing knowledge, best practices, technical expertise, and innovative ideas.
• Partner with stakeholders across the business to deliver meaningful data visualisations, insights, and analytical solutions that support decision-making.
• Keep abreast of emerging trends and advancements in AI, with a particular focus on Large Language Models (LLMs), Small Language Models (SLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic AI approaches.

Key Requirements

• Advanced degree in Data Science, Machine Learning, Statistics, Mathematics, or a related field.
• 3-7 years of experience in Data Science, AI, or a similar analytical discipline.
• Hands-on professional experience with AI engineering, including AI agents, LLMs, chatbot development, prompt engineering, and model fine-tuning.
• Strong knowledge of NLP techniques and modern machine learning approaches.
• Proficiency in the end-to-end data science lifecycle, including data preparation, modelling, evaluation, and insight generation.
• Proficiency with Python and/or R, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with relational and NoSQL databases.
• Passion for solving complex business problems through data-driven research and analysis.
• Fluent in English, combined with excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Self-motivated, proactive, and able to work independently in a fast-paced environment.

Preferred Qualifications

• Experience with cloud platforms, particularly Microsoft Azure.
• Knowledge of Databricks and modern data science environments.
• Experience using GitHub Copilot and AI-assisted development tools.
• Practical experience with AI agents, prompt engineering, and generative AI applications.
• Familiarity with business intelligence tools such as Tableau, Power BI, or Qlik.
• Experience with business process automation tools such as Power Automate or Zapier.

What We Offer

• Performance-based bonus in addition to base salary.
• Comprehensive benefits package including health insurance, retirement plan, and enhanced paid time off.
• Professional development opportunities.
• Collaborative, innovative and global work environment.

What should I expect after I apply?

• Initial Shortlisting - Our team carefully reviews each application.
• Talent Acquisition Call - introductory conversation with the Talent Acquisition team.
• First-Stage Interview - focus on motivations, relevant experience, and technical requirements.
• Technical Task - technical assessment designed to evaluate technical knowledge and problem-solving approach.
• Final Interview - meet with the Hiring Manager and the team to discuss the technical task and overall fit.

About JATO