Data Scientist

Who We Are & Why Join Us

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360‑degree operational view that enhances decision‑making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behaviour modelling, and machine vision, we create real‑time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimisation.

Our AI‑driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset life‑time extension – all tailored to the complexities of industrial environments.

Cutting‑Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.

High‑Growth Environment – Thrive in a fast‑scaling startup where agility, collaboration, and rapid professional growth are the norm.

Meaningful Impact – Work on AI‑driven projects that drive real change across industries and improve lives.

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As a Data Scientist at Avathon, you will contribute to designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to help develop scalable, production‑ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimisation, anomaly detection, and prescriptive maintenance.

With 3‑5 years of industry experience (or a Master’s degree with 3+ years), you are expected to bring a solid foundation in statistical modelling, ML engineering, and modern AI architectures. This role offers the opportunity to work on impactful AI initiatives while learning and growing within a fast‑paced startup environment.

• Support the design, development, and deployment of machine learning and Generative AI solutions to solve complex business problems
• Assist in building, fine‑tuning, and optimising large language models (LLMs) and transformer‑based architectures for real‑world applications
• Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimisation
• Contribute to developing scalable ML pipelines in collaboration with engineering teams
• Support prompt engineering, model evaluation, benchmarking, and testing for GenAI applications
• Work closely with product, engineering, and business stakeholders to translate requirements into data‑driven AI solutions
• Contribute to model governance, responsible AI practices, and production monitoring efforts
• Stay current with advancements in Generative AI, LLM research, and applied machine learning

• Master’s degree (or Bachelor’s with strong experience) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 3‑5 years of hands‑on industry experience (or Master’s degree with 3+ years) in data science, machine learning, or applied AI roles
• Foundational experience with Generative AI frameworks and Large Language Models (e.g., exposure to transformer architectures, fine‑tuning, or RAG concepts)
• Proficiency in Python and familiarity with ML/AI libraries such as PyTorch, Tensor Flow, Scikit‑learn, or Hugging Face
• Solid understanding of statistical modelling and model evaluation techniques
• Exposure to deploying ML models or working in collaborative production environments
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Strong analytical thinking and willingness to work on evolving, sometimes ambiguous problem statements
• Good communication skills and ability to collaborate across teams

• Exposure to Retrieval‑Augmented Generation (RAG), vector databases, or embedding‑based search systems
• Familiarity with LLM observability and evaluation tools (e.g., Langfuse, Lang Smith, Arize Phoenix, Weights & Biases)
• Hands‑on experience with practical LLM deployment – prompt versioning, cost/latency tracking, guardrails, or hallucination detection
• Expo…