Senior Data Scientist (LLM / Agents)

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