Graduate Data Scientist, Software Engineer (ID: Pea5xzN9)

Technically gifted, ambitious Graduate Data Scientist (Software Engineer) required to join a fast-paced team developing intelligent software systems at the intersection of energy, data, and automation.

As our Graduate Data Scentist and software engineeer you will design and build high-impact Python-based data pipelines, analytics systems, and real-time integrations with IoT devices (sensors, inverters, batteries, gateways, etc.).

This role sits at the frontier of smart energy systems, Ideal for a graduate data scientist who wants to work on real infrastructure and make measurable impact from day one. This is the first role in a new team so self-starting will need to be demonstrated.

Graduate Data Scientist - Software Engineer Key Responsibilities

• Develop and maintain Python-based software systems that ingest, process, and analyse data from distributed energy assets and sensors.
• Design and implement IoT integration workflows, including device registration, telemetry pipelines, and cloud-to-edge communication protocols (MQTT, Modbus TCP/RTU, RESTful APIs, etc.).
• Build machine learning or rules-based models for forecasting, anomaly detection, or asset optimization.
• Create APIs and services to expose insights and allow integration with third-party systems and front-end dashboards.
• Work with hardware engineers and field teams to ensure robust and scalable deployments.
• Own data collection, cleansing, and validation processes to ensure high-quality telemetry.
• Develop simulations and tests for new devices before deployment.
• Stay current on best practices in Python, cloud computing (AWS, GCP, or Azure), and IoT security.

Essential Requirements:

• Strong coding ability in Python (minimum 2 years, including academic projects or internships).
• Practical experience interfacing with IoT hardware or protocols (e.g. Raspberry Pi, Arduino, ESP32, PLCs, edge gateways).
• Demonstrated ability to build robust software systems and scripts, not just models.
• Familiarity with tools such as Pandas, NumPy, SQL, FastAPI/Flask, and Git.
• Excellent problem-solving mindset and desire to ship working systems.
• Curiosity about hardware–software interaction and real-world signal data.
• Strong written and verbal communication skills.

Desirable Attributes:

• Experience with cloud platforms (AWS Lambda, GCP IoT Core, Azure IoT Hub).
• Knowledge of containerization (Docker), DevOps pipelines, or CI/CD.
• Exposure to time series databases (InfluxDB, TimescaleDB) or SCADA systems.
• Experience with energy systems (solar PV, BESS, HVAC, industrial automation) is a big plus.
• Understanding of security principles in edge/cloud IoT systems.

Why Us?

• You’ll work on systems that directly control and optimize real-world assets.
• We value code that runs in the wild more than research papers.
• Flat structure, no BS, fast decisions—your work matters.
• We invest heavily in personal growth, mentorship, and R&D.

Be part of a team solving real problems with AI, data, and automation.

An in-person interview will be required.

Additional pay:

• Bonus scheme

Company Benefits:

• Company pension
• Work from home

Schedule:

• Monday to Friday
• Application question(s):
• Do you currently reside in the United Kingdom?
• Are you available to work in London without requiring relocation or visa sponsorship?

Work authorisation:

• United Kingdom (required)

Reference ID: Graduate Data Scientist & Software Engineer (Python & IoT Integration)

Position: Graduate Data Scientist / Software Engineer  -  Job Type: Full Time  -  Salary: 

Work Location: Hybrid remote in London, W12