Data Science Jobs

• New York, United States
• Hybrid
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets and partnering with Forward Deployed Engineers to build pipelines and customised workflows. The role involves onsite work, training users, and presenting to audiences from analysts to C-suite, with travel of 25-75% and some deployment to internal Palantir teams.

Python · R · MATLAB +1

• Fayetteville, United States
• Hybrid
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts onsite, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to audiences up to C-suite, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Python · R · MATLAB +1

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead computational chemistry strategy across drug discovery programs, applying AI-first methods to hit finding, molecular design and lead optimisation. Work with ML scientists to embed generative models and ultra-large virtual screening into workflows, with optional line management of 2-3 computational chemists.

REINVENT · AlphaFold · Large Language Models +2

• London
• Hybrid · 3 days in office
• Senior

Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo and in vitro studies and acting as Biology Lead on drug discovery projects. Coordinate internal workflows and external CROs to drive candidates toward go/no-go decisions, while feeding pharmacology data back into generative AI design loops.

Generative AI · AlphaFold

• New York, United States
• Hybrid
• US$135,000 – US$200,000 pa
• Mid-level
• Permanent

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.

Palantir AIP

• New York, United States
• Hybrid
• Senior
• Permanent

Builds the front-end tooling and interfaces that let users construct data-intensive applications on Palantir Foundry, working in TypeScript, React and GQL with Blueprint components. Involves architecting state management and access patterns, owning APIs and schemas, and iterating with users and designers on complex UX. May include a Frontline rotation embedded with customers.

TypeScript · React · GraphQL +6

• Washington, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts onsite, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to C-suite audiences, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Python · R · MATLAB +1

• Washington, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts on-site, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to audiences up to C-suite, and feeding field insights back into cross-company product offerings, with 25-75% travel.

Python · R · MATLAB +1

• Washington, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, exploring datasets, building bespoke workflows, and integrating data pipelines alongside Forward Deployed Engineers. The role involves onsite customer work, training sessions, demos, and presenting to audiences from analysts to C-suite, with 25-75% travel and a Python/R/SQL background valued.

Python · R · MATLAB +1

• Honolulu, United States
• On-site
• US$110,000 – US$170,000 pa
• Mid-level
• Permanent

Deployment Strategists embed with customer teams, often on-site, to understand their critical questions, locate relevant datasets, and work with Forward Deployed Engineers to build data pipelines and bespoke workflows. They lead training, present results to analysts and senior leaders, and feed field insights back into cross-company product offerings. Requires an active US Top Secret clearance and up to 25% travel.

Python · R · MATLAB +1

• Chicago, United States
• Hybrid
• Mid-level
• Permanent

Deployment Strategists embed with customer teams to turn data into operational action, exploring workflows, identifying key problems and integrating datasets into stable pipelines alongside Forward Deployed Engineers. The role involves building customised workflows, leading training, presenting to analysts through C-suite, and scoping new engagements, with 25-75% travel and a Chicago base.

Python · R · MATLAB +1

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues in a hybrid London team.

AlphaFold

• London
• Hybrid · 3 days in office
• Lead

Design and evolve a large-scale ML infrastructure platform that supports distributed training and inference workloads, working closely with research, engineering and product teams. The role also explores deploying agents to improve platform robustness and reliability, in a hybrid London setting.

Kubernetes · Google Cloud Platform · GCP

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.

JAX · PyTorch · XLA +6

• London
• Hybrid · 3 days in office
• Mid-level · manages people

Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.

JAX · PyTorch · TensorFlow +3