Are you passionate about revolutionising engineering with AI? Here at Monolith AI we’re on a mission to empower engineers to use AI to solve even their most intractable physics problems. For example, developing next-gen EV batteries that charge faster and last longer. We experienced serious growth over the past year, and we have ambitious plans moving forward. It’s an exciting time, and to continue our growth we are recruiting a Lead Forward Deployed Data Scientist to join our Forward Deployed team.

The Role

We are seeking a Lead Forward Deployed Data Scientist to act as the principal technical reference for the Forward Deployed team. You’ll partner with top automotive, EV, and engineering innovators to deliver impactful AI solutions using the Monolith platform. You’ll drive complex customer implementations of our AI platform, define best practices for applied AI/ML delivery, and mentor other FDDSs in their technical development. This is a senior individual contributor role but you will have a key influence in shaping our technical standards and customer success strategy.

In this role, you will

• Drive technical excellence: Act as the principal technical reference for the Forward Deployed team, ensuring high-quality, scalable AI/ML implementations for enterprise customers.
• Lead complex projects: Own the technical delivery of challenging customer engagements from design to deployment, balancing innovation with pragmatism.
• Mentor and grow peers: Support the technical growth of other Forward Deployed Data Scientists through coaching, code reviews, and shared best practices.
• Champion applied AI quality: Set and uphold high standards for AI model delivery. Define technical playbooks, reusable templates, and implementation patterns that reinforce these quality standards across all customer projects.
• Be part of the platform evolution: Partner closely with the Product and Research teams to ensure every deployment delivers measurable business value and informs the evolution of our platform
• Represent Monolith’s expertise: Serve as a trusted technical advisor to senior customer stakeholders, translating complex ML concepts into clear, actionable insights.

What we’re looking for

• Proven technical leadership: 10+ years experience in Machine Learning, Data Science or Forward Deployed roles. Proven experience leading complex, customer-facing AI/ML projects from design to production.
• Hands-on excellence: Deep proficiency in Python and applied ML, with a track record of delivering robust, scalable solutions in production environments.
• Technical mentorship: Passion for helping others grow. Experienced in reviewing code, refining approaches, and sharing best practices to uplift team capability.
• Strategic mindset: Ability to connect immediate technical solutions to long-term product and platform evolution, spotting generalisation opportunities.
• Customer fluency: Confident engaging with technical and non-technical stakeholders, translating AI concepts into business impact and measurable ROI.
• Bias for action & collaboration: Thrives in ambiguous, customer-driven environments and takes ownership for outcomes that accelerate customer success.

Technical Skills

• Strong mathematical foundation, including Bayesian inference, stochastic modeling, linear and nonlinear control, numerical methods.
• Strong understanding of machine learning algorithms, including surrogate and data-driven modeling, optimization, active learning, Bayesian or sequential design of experiments, time-series anomaly detection.
• Advanced competence in scientific ML pipelines, including data curation for lab/simulation data, versioning, metadata, automated retraining, safety constraints.
• Experience with engineering applications (automotive, battery, semiconductors, aerospace, etc.)
• Nice-to-haves: Experience with Big Data (e.g. Spark) or distributed ML frameworks. Experience with High Performance Distributed Computing and GPUs.