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AI and Analytics Engineer

Electric Kiwi Limited

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Lead the design, build and continuous optimisation of Electric Kiwi’s next-generation AI and analytics platform, turning billions of smart-meter and customer-behaviour data points into real-time insights that directly shape pricing, product and customer-experience decisions across New Zealand.
• Own the end-to-end data lifecycle—from ingestion, cleansing and storage through to model training, deployment and monitoring—using cloud-native tools (AWS, Snowflake, dbt) and modern MLOps practices to guarantee accuracy, security and sub-second latency at scale.
• Partner daily with Product, Marketing and Trading teams to translate commercial questions into data science experiments; deliver dashboards, predictive models and scenario simulations that unlock new revenue streams and shave millions off wholesale-energy costs.
• Architect and productionise machine-learning models that forecast household demand, detect anomalies in solar generation, optimise EV-charging schedules and personalise energy plans for 100k+ customers, all while ensuring fairness, transparency and regulatory compliance.
• Champion a culture of experimentation: design A/B tests, champion/challenger frameworks and synthetic-control studies that measure uplift in customer savings, churn reduction and carbon-emission reductions, iterating rapidly based on statistically significant results.
• Build and maintain scalable data pipelines (Kafka, Kinesis, Airflow) that ingest smart-meter reads every 30 minutes, IoT sensor streams and weather feeds; implement real-time feature stores that feed both batch and streaming ML workloads with 99.9 % uptime.
• Create self-service analytics products—notebooks, APIs and curated datasets—that empower non-technical stakeholders to explore trends, run “what-if” analyses and surface insights without waiting in the engineering queue.
• Establish rigorous model governance: version control (Git, MLflow), automated testing, drift detection and explainability layers so regulators, auditors and customers alike can trust every algorithmic decision.
• Collaborate with our Hyderabad-based engineering squad in an agile, remote-first environment; run fortnightly showcases, code reviews and lunch-and-learns that upskill the broader team in Python, SQL and cloud analytics best practices.
• Influence the strategic roadmap by quantifying the ROI of new data initiatives—whether dynamic time-of-use tariffs, peer-to-peer energy trading or AI-driven customer support—presenting findings to the exec team and securing buy-in for bold bets.
• Stay ahead of the curve: evaluate emerging technologies (large-language-model copilots, graph neural networks, real-time carbon-intensity optimisation) and run rapid proof-of-concepts that keep Electric Kiwi at the forefront of energy-tech innovation.
• Embed sustainability metrics into every model; track and report on how data-driven decisions reduce national grid peaks, increase renewable-energy utilisation and help New Zealand reach its 100 % renewable electricity target by 2030.
• Mentor junior analysts and engineers through pair-programming, design sessions and career-development plans, fostering a diverse, inclusive team where curiosity, kindness and evidence-based thinking are celebrated.

🎯 Requirements

• 4+ years production-grade experience building and deploying ML models or large-scale analytics solutions in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL on cloud platforms (AWS preferred).
• Proven track record of turning raw, high-velocity data (ideally energy, IoT or financial markets) into business value—measured through revenue growth, cost savings or customer-experience metrics.
• Solid software-engineering discipline: version control (Git), CI/CD, containerisation (Docker), infrastructure-as-code (Terraform/CDK) and automated testing for data pipelines and models.
• Nice-to-have: advanced degree in Computer Science, Data Science, Statistics or related quantitative field; experience with dbt, Snowflake, Airflow, Kafka; familiarity with New Zealand electricity market or energy-sector regulations.

🏖️ Benefits

• Fully remote-first culture—work from anywhere in NZ or India with a $1,500 home-office setup allowance and annual co-location budget to meet your squad in person.
• Competitive salary plus equity in The Energy Collective, so you share directly in the upside of the disruptive businesses you help build.
• Five weeks paid leave, birthday leave and two volunteer days each year to support causes you care about.
• $2,000 annual professional-development fund for courses, conferences or certifications, plus dedicated 10 % “innovation time” to explore new tools and pet projects.

Skills & Technologies

Remote

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Electric Kiwi Limited

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About Electric Kiwi Limited

Electric Kiwi is an independent electricity retailer operating in New Zealand since 2014. The company offers residential and small business power plans that leverage smart meter data to provide lower-cost off-peak pricing, free hour-of-power promotions and online account management without call centres. Its platform automatically shifts appliance usage to cheaper periods and delivers real-time usage analytics via mobile and web apps, aiming to reduce customer bills while balancing network demand.

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