Data Scientist

AI is transforming the way we work and enhancing productivity. I’m supporting a company with a mission to help open new avenues for human productivity. They focus on creating advanced AI agents and implementing them in collaborative systems to enhance human potential within organisations. They tend to focus on supporting fellow start-ups to increase efficiency in order to support growth. These systems go beyond simple tools; they are designed to work seamlessly with human intelligence and creativity in the workplace. Headquartered in London, the company is searching for a skilled data professional to join their dynamic team. The aim of the role is to drive forward their development initiatives and mentor the existing junior team members. Ideally, the company is looking for someone who is ready to move up from a junior position into their first Senior Role. Key Responsibilities: Software Development: Design, develop, and maintain scalable software solutions, primarily using Python. Engage with various data analysis libraries, AI APIs, and LLM-based technologies to deliver high-quality software products. LLM Expertise: Lead the development of applications and services utilizing modern LLMs, including implementing Retrieval-Augmented Generation (RAG) and other relevant AI models for intelligent and context-aware solutions. Technical Leadership: Mentor and support junior developers, fostering a collaborative learning environment and helping them grow their skills. Agile Process Management: Lead agile development practices, including sprint planning, task estimation, and continuous integration/continuous delivery (CI/CD) workflows. Code Quality: Enhance code quality through code reviews, test-driven development (TDD), and the implementation of best practices in software engineering. Innovation: Contribute to the architectural decisions of projects involving vector databases, graph databases, and AI integration, with a particular emphasis on LLM-driven solutions. Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and designers, to define, design, and implement new features. Qualifications: Experience: Minimum of 5 years of professional software development experience, with a strong command of Python. LLM & AI Skills: Demonstrated experience in developing and deploying solutions based on modern LLMs, including RAG and other AI architectures. Familiarity with transformers, tokenization, and model fine-tuning is a strong plus. Technical Skills: Proven experience with data analysis libraries (e.g., Pandas, NumPy) and AI APIs. Familiarity with vector and graph databases is highly desirable. Agile Methodologies: Solid experience working within agile frameworks, including Scrum or Kanban, and a deep understanding of CI/CD processes. Leadership: Demonstrated ability to mentor junior developers and lead by example within a development team. Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges. Personal Qualities: A passionate technologist who keeps up-to-date with the latest industry trends. A proactive leader who enjoys mentoring and developing junior talent. Strong communication skills with the ability to collaborate effectively across teams. Opportunities for Growth: Leadership Development: Opportunity to take on greater leadership roles within the company as the team expands. Professional Development: Access to advanced learning resources, including online courses, certifications, and conference attendance. Innovation Projects: Regular opportunities to lead and innovate in in-house hackathons and experimental projects. Technology Stack: Primary: Python (Expert level) Libraries: Advanced Data Analysis Libraries (e.g., Pandas, NumPy) Databases: Vector Databases, Graph Databases LLM Frameworks: Transformer architectures, Retrieval-Augmented Generation (RAG), Hugging Face, OpenAI API, etc. APIs: Various AI APIs Methodologies: Agile (Scrum/Kanban), CI/CD pipelines Benefits: Flexible tech budget for hardware and software. Flexible, remote-friendly work environment. Tech-specific perks such as conference tickets, e-learning subscriptions, and more.