Independent Visa only
Role: Data Scientist
Location: Remote, however travel might be required as per business requirements
FTE
Implementation partner - *******
End Client - ******
Exp - 9 +
Where you’re headed
You’ll creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you’ll interpret and offer recommendations based on insights from the data.
Where you’ve been
You’re a problem solver, data expert, analyst, and communicator, who can create new algorithms from scratch. You have an advanced degree in a quantitative field, such as computer science, engineering, physics, statistics or applied mathematics, and have:
Job Description:
Familiarity with statistical techniques, data mining, hypothesis testing, and exploratory data analysis
Strong knowledge of programming languages with a focus on machine learning and advanced analytics (such as Python, R, Scala)
Experience working with large datasets, data pipelines, and relational databases
A collaborative mindset with the ability to communicate complex analytical concepts effectively to both technical and non‑technical stakeholders
Excellent problem‑solving skills with the ability to analyze issues, identify root causes, and recommend solutions quickly
Proven experience building, validating, and deploying machine learning models end‑to‑end in production environments
Strong understanding of model performance evaluation, experiment design, and model lifecycle management
Ability to translate business problems into analytical frameworks and measurable success metrics
Experience working cross‑functionally with engineering, product, and business teams to deliver impact at scale
Good to Have:
Experience with Generative AI, including large language models (LLMs), prompt engineering, fine‑tuning, and retrieval‑augmented generation (RAG)
Exposure to Agentic AI concepts, such as autonomous agents, tool usage, planning, memory, and multi‑agent workflows
Familiarity with modern ML/AI frameworks (e.g., PyTorch, TensorFlow) and MLOps tools for deployment and monitoring
Experience deploying AI solutions on cloud platforms (Azure, AWS, or Google Cloud Platform) with an understanding of scalability and cost considerations
Knowledge of responsible AI practices, including model explainability, bias mitigation, and governance
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