Head of Electrical Distribution Analytics at Toumetis · Remote (United Kingdom)
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Machine Learning
A time you used Machine Learning: the problem, what you did yourself, and what happened.
From skills the ad mentions
Python
A time you used Python: the problem, what you did yourself, and what happened.
From skills the ad mentions
SQL
A time you used SQL: the problem, what you did yourself, and what happened.
From skills the ad mentions
Education
Your studies or training, or the equivalent experience if the ad allows it.
The ad says: “Bachelor’s or Master’s degree in Electrical Engineering or related field.”
From the ad's requirements
Extensive experience (typically 10+years) in electrical distribution engineering, with a strong understanding of grid operations, system pro
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From the ad's requirements
Demonstrated experience working directly with electrical distribution companies and/or electrical distribution equipment manufacturers.
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From the ad's requirements
A keen interest in and understanding of data analytics technologies and their application to industrial or infrastructure domains.
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From the ad's requirements
Proven experience in a leadership or management role, including mentoring and developing technical teams.
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From the ad's requirements
You’ll also have access to company paid training services as we’re keen for you to grow your skills.
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From the ad's requirements
For further information please reach out to our Talent Acquisition team on 07527 700 626 or .
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From the ad's requirements
Originally posted on
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From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for Toumetis on JobRipe yet. Use the job ad and our guide below.
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We show an employee rating once Toumetis has at least 5 published verified reviews. Company page
Interview difficulty and process length appear once 5 candidates have reported them.
Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Analytical method.
How to answer: Check data, segment, correlate with changes, communicate.
Why they ask: Product sense.
How to answer: Decisions it supports, audience, fewer better metrics.
Why they ask: Machine Learning is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: Python is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them