Forward Deployed Senior Data Scientist

Harnham; United States; Hybrid; USD 157,500 - 192,500; Full time

Benefits offered by this job

Competitive compensation

High degree of technical ownership

Exposure to cutting-edge AI technologies

Job summary

Harnham is seeking a Forward Deployed Senior Data Scientist to work remotely with some travel. This role involves translating complex problems into AI solutions by building and deploying models that support strategic decisions. Candidates should have extensive AI/ML experience, strong Python skills, and the ability to work with large datasets. The position offers competitive compensation around $175,000, autonomy, and a chance to work on impactful AI challenges.

Qualifications

• Extensive experience designing, developing, and delivering AI/ML solutions end-to-end.
• Strong software and data science fundamentals; Python is essential.
• Experience building production-grade AI systems in customer environments.

Responsibilities

• Build advanced AI/ML/DS models and systems tailored to operational challenges.
• Develop AI-driven technology stacks for specific customer use cases.
• Lead end-to-end delivery of AI projects from scoping to deployment.

Skills

AI/ML solution design

Software fundamentals (Python)

Large-scale datasets handling

Cloud-based ML deployments

Rapid prototyping

Organizational skills

Job description

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

The Company

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

The Role

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You'll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

Key Responsibilities

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

Experience Required

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

Desirable Experience

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

The Offer

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development