Senior Forward Deployed Engineer (Energy)

Infoplus Technologies UK Limited; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Infoplus Technologies UK Limited is seeking a senior/lead computational scientist to own client engagements, scope ambiguous problems, and guide engineers. You will work across data pipelines, backend logic, optimization, and front-end dashboards, delivering production-ready tooling that translates stakeholder needs into features.

You will blend deep engineering with client-facing maturity, collaborating across European and North American time zones, and shaping delivery standards and scalable

Qualifications

• Strong Python for data and backend work with Pandas and scientific libraries (e.g. Pyomo, Scikit-Learn).
• Experience building simulation/forecasting and KPI analytics frameworks.
• Data ingestion/transformation pipelines for time-series/market data, schema design, testing (pytest).
• Interactive dashboards for decision support (Plotly Dash, Bokeh).
• Cloud and deployment: AWS, Docker, CI/CD; familiarity with message queues (RabbitMQ) is a plus.
• Experience with PostgreSQL and exposure to NoSQL (e.g. Cassandra) and Oracle.
• Experience leading client-facing engagements and steering delivery with minimal direction.
• Ability to collaborate across time zones (EU/NA) and communicate with non-technical stakeholders.
• Advanced degree in quantitative field; English required; Spanish a plus.

Responsibilities

• Own client relationships and cadence of delivery sessions.
• Translate evolving stakeholder needs into features and roadmap items.
• Lead a delivery team and set engineering standards (testing, deployment hygiene).
• Develop backend, data, and analytics tooling to production with robust validation.

Skills

Python

Pandas

Pyomo

Scikit-Learn

Data pipelines

Dashboarding

Education

Advanced degree in quantitative field (statistics / analytics / CS / engineering)

Tools

AWS

Docker

CI/CD

RabbitMQ

PostgreSQL

NoSQL

Plotly Dash

Bokeh

Oracle

Job description

Job Description

We've had strong results with a profile that blends hands-on software/data engineering with direct client delivery - someone who embeds with a client team, understands their commercial problem, and builds and ships the tooling to solve it. We want more of this, at a senior / lead level: someone who can own the client relationship, scope ambiguous problems independently, and guide more junior engineers, not just execute a defined spec.

A computational scientist / forward deployed engineer who can move fluidly between data pipelines, backend logic, optimization/simulation, and client-facing dashboards - and deploy it all to production. The defining trait is the combination of genuine engineering depth with the maturity to sit in front of clients, translate evolving stakeholder needs into features, and drive delivery.

• Strong Python for data and backend work - Pandas plus optimization/scientific libraries (e.g. Pyomo, Scikit-Learn)
• Building simulation, forecasting, and KPI/analytics frameworks to model financial or operational outcomes
• Data engineering: ingestion and transformation pipelines for time-series / market data, schema design, automated validation/testing (e.g. pytest)
• Interactive dashboarding (e.g. Plotly Dash, Bokeh, or similar) for decision support
• Cloud and deployment: AWS, Docker, CI/CD across dev/QA/prod; message queues (e.g. RabbitMQ) a plus
• Databases: PostgreSQL, plus exposure to NoSQL (e.g. Cassandra) and Oracle
• Owns client relationships and runs the cadence (regular working sessions, requirements gathering, alignment)
• Scopes loosely defined problems into deliverable workstreams with minimal direction
• Can technically lead on a delivery team
• Sets engineering standards (testing, deployment hygiene, code quality)
• Working with non-technical stakeholders, problem framing mindset.
• Advanced degree in a quantitative field (statistics, analytics, computer science, engineering or similar)
• Able to collaborate across European and North American time zones
• English essential; Spanish a strong plus