Senior, AI & Data Science

Job summary

Responsibilities

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain.We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital…

• Translate business and marketing challenges into analytical use cases with clear hypotheses and success metrics.
• Develop statistical and machine learning models: regression, forecasting, classification, clustering, and causal inference.
• Select techniques based on business context, constraints, and data availability — and be able to justify the choice.
• Ship production-ready solutions: training, deployment, monitoring, and ongoing refinement.
• Run fine-tuning experiments: dataset curation, SFT, LoRA/PEFT, and rigorous evaluation of results against baselines.

What they're looking for

• 3–5 years of relevant data science experience with a substantial quantitative skill set.
• Strong knowledge of statistics and ML algorithms, with at least one proven experience developing and deploying models.
• Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
• Hands-on experience with LLMs: evaluation, RAG, or fine-tuning experiments (professional or substantial personal projects).
• Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI), Anthropic (Claude), or OpenAI — and familiarity with a cloud platform (GCP, Azure, or AWS).

Tech stack

• RAG
• Python
• scikit-learn
• PyTorch
• SQL
• GCP
• Azure
• AWS