Workload: full-time, 100% remote Start: ASAP Duration: long-term Format: staff augmentation English: strong communication skills required
Project Overview Fintech project. The client needs a strong Senior Data Scientist with hands-on LLM experience who can own the technical stack end to end, work with leadership on data science strategy, and explain technical decisions clearly to non-technical stakeholders.
What You’ll Do Work with leadership to shape and implement the company’s data science strategy and find opportunities to use data for business value Own the full technical stack needed for development and deployment Develop and maintain scalable ML models and systems Keep data management and engineering practices solid, with efficient data pipelines Gather requirements from cross-functional teams and provide insights Explain complex technical concepts to non-technical stakeholders
Must-Have Requirements 7+ years of total experience, including participating in and/or leading complex projects Master’s or PhD in Data Science, Computer Science, Statistics or a related field, or equivalent knowledge and experience Hands-on expertise in modern language models and ML frameworks Practical experience with different LLMs of various sizes and from different providers Optimizing LLM-based pipelines for performance and cost efficiency Building agents that work across different tools and LLMs LLM-based data capture and extraction Experience with modern LLM-supporting frameworks and tools Modern LLM prompting techniques Building evaluation pipelines using data-driven approaches Managing feedback and training pipelines, and fine-tuning models Python, R, or another strongly typed language Cloud platforms (AWS, GCP or Azure) and deployment processes Excellent communication: must confidently explain ideas and technical decisions
Nice to Have Big data technologies (Spark, Hadoop, data warehouse / data lake technologies) Data architecture and database management background Data management and engineering tools Knowledge of accounting and bookkeeping Commitment to ethical AI practices and data governance
Key Competencies Problem-solving and strategic thinking, ability to innovate and drive process improvements, collaboration.
CV must be reworked to match the requirements above
