Case Study · AI Talent · Energy

When the Energy Sector Buys AI

Tauron Nowa Energia — the innovation arm of one of Poland's largest energy groups — hires its AI talent through NDS: Data Scientists and AI Architects, in body leasing and in permanent recruitment, with the profile list growing as the data programmes expand. A named, running proof that our AI screening sells outside banking — in an industry where models steer real infrastructure.

Get AI CVs in 48h See the account pattern

Data Scientists + AI Architects delivered

Two models — body leasing and permanent

Growing — new roles added over time

account active as of Q3 2026

The account pattern

Start Narrow, Earn the Next Role

This is what a healthy staffing relationship looks like from the inside — no big-bang contract, just a widening scope earned role by role:

1 · The entryHard AI profiles first

Data Scientists and AI Architects — the roles where generic IT vendors send noise

2 · The both-models testLeasing and permanent, same bench

capacity now where needed, hires-to-keep where the role is core

3 · The verdictRepeat briefs

new searches and new profiles added over time — the renewal is the review

Why energy AI is a hard screen

Models That Touch the Grid

Production, not demos

Energy data programmes need engineers who have shipped models into operations — the same production-track screen we run for banks.

Architects who say no

An AI Architect's job is often refusing the fashionable option — we screen for judgment under constraints, not framework tourism.

Sector context ready

Energy runs on SAP — and our energy bench already lives there: the same group's IT arm holds our 18-profile framework.

Adjacent proof

The Energy Pair

Two named engagements, one sector — SAP depth and AI depth for the same energy group:

SAP · Named

The Framework at Work — PGE Systemy

18 SAP profiles on call under an active framework agreement — supplier seat earned in a competitive public tender.

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The competency

AI engineering, screened for production

How we test AI candidates — RAG, agents, MLOps — for delivery in environments where mistakes are expensive.

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Hiring AI Talent Outside Tech?

Energy, industry, finance — if your models touch real operations, the screen matters more than the CV keywords. First profiles in 48 hours.

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Michał Stawski

Managing Partner

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Bartłomiej Lewandowski

Managing Partner

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