Posted May 12, 2026
Embed directly inside the client to unlock data, map value streams, and build lightweight production-grade solutions. - Execute rapid analysis, prototyping, and iterative validation using wrangling tools, secure sandboxes, and proven patterns. - Deliver measurable outcomes within weeks—fast deployments, clear ROI proof points, and visible operational value. ## 2. Technical Execution & On-site Delivery
Deploy models, dashboards, optimizers, and operational tools that solve high-value client problems in Energy, Utilities, or Public Sector. - Troubleshoot friction: data access, workflows, security constraints, stakeholder blockers—removing obstacles in real time. - Maintain a production mindset: reliability, iteration, and continuous improvement of deployed solutions. ## 3. Client Engagement & Trust Building
Build deep trust with operators, engineers, and senior stakeholders through hands-on delivery—not slides. - Translate complex technical problems into simple, actionable insights that drive adoption and operational use. - Train users, institutionalize capabilities, and transfer knowledge so the client can sustain value. ## 4. Pattern Capture & Platform Feedback
Document field patterns, reusable components, and validated workflows that feed into Sand’s product roadmap. Work with Product Managers and Platform Engineering to generalize what works and escalate gaps in product capability. - Ensure every deployment contributes to reusability, pattern libraries, and cross-vertical knowledge. ##
Identify expansion opportunities through on-the-ground insights and signal them to the MD and Solutions Director. - Help shape new enterprise AI propositions with real-world field intelligence from Energy/Utilities/Public Sector operations. - Support the Solutions Director in scoping high-value follow-on work. ## Requirements - Essential
2–6 years of experience as a Data Scientist, Data Engineer, ML Engineer, or Software Engineer working with real datasets and operational environments. - Experience deploying solutions in Energy (Oil & Gas, Power), Utilities (Water/Gas/Electric), or Public Sector strongly preferred. - Proven ability to build prototypes and production-grade tools quickly, with minimal dependencies. - Experience working directly with customers, operators, or business stakeholders in fast-paced environments. - Comfort working independently on-site with high ambiguity and high accountability. ## Technical Skills
Strong coding ability (Python preferred) plus SQL, wrangling, and modern data tooling. - Experience with APIs, cloud environments, data ingestion patterns, and analytical tooling. - Ability to turn messy, real-world data into operational insights and deployed tools. - Understanding of ML modeling, optimisation, or operations research is a plus (but not required). - Experience with visualization tools and rapid prototyping frameworks. ## Why this role matters
FDEs are the spearhead of Sand Technologies’ expansion in the US. They compress time-to-value, generate trust, and turn initial projects into multi-year strategic partnerships. Their insights directly shape the roadmap of our Industry Operating Systems and Co-Pilot Suites. If you want to work on the frontier of enterprise AI—inside the most complex operational environments in the world—this is the role. ## Personal Attributes
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