Data & Analytics in Harrow

Data & Analytics in Harrow

Harrow Full-Time 29700 - 36300 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Collaborate with founders to enhance the Exator interface using real user feedback.
  • Company: Dynamic startup focused on energy transition and innovative solutions.
  • Benefits: Hands-on experience, direct mentorship, and exposure to cutting-edge technology.
  • Other info: Fast-paced, informal environment with opportunities for growth and learning.
  • Why this job: Make a tangible impact in the energy sector while developing your skills.
  • Qualifications: Experience in frontend engineering, especially with React/Next.js and TypeScript.

The predicted salary is between 29700 - 36300 £ per year.

What This Is About

We're looking for someone to work alongside the founders on the Exator interface — turning real feedback from partners and early users into shipped improvements.

The shape of the work will settle as we go; the constant is helping turn complex infrastructure intelligence into something people trust enough to act on.

What This Is About

We're looking for someone to work alongside the founders on the Exator interface — turning real feedback from partners and early users into shipped improvements.

The shape of the work will settle as we go; the constant is helping turn complex infrastructure intelligence into something people trust enough to act on.

Areas you'd be working in

Core UI for geospatial interfaces, feasibility views, and report outputs; iterating on those based on partner and early-user feedback; some light customer-facing support alongside founder guidance.

Exact scope and focus will depend on what's needed and what you're best placed to take on.

  • What would help
  • Frontend engineering experience — React/Next. js + Type Script is useful; familiarity with mapping libraries like Mapbox or Leaflet is a plus.
  • Something to show — a portfolio, Git Hub, or similar.
  • Comfortable communicating directly, including in front of partners or early users.
  • Genuine interest in the energy transition and the problem we're solving.
  • What to expect
  • Direct, hands-on work with the founders on a live product.
  • Exposure to both frontend engineering and energy infrastructure as a domain.
  • An early-stage environment — informal, fast-moving, and still finding its shape.
  • #J-18808-Ljbffr

Data & Analytics in Harrow employer: Infrahaus AI

At Exator, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture where every team member's input is valued. Working closely with the founders in a dynamic, early-stage environment offers unique opportunities for personal and professional growth, especially for those passionate about the energy transition. Our commitment to turning complex infrastructure intelligence into user-friendly solutions ensures that you will be part of meaningful projects that make a real impact.

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Contact Details:

Infrahaus AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Analytics in Harrow

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Apply Directly through Our Website

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We think you need these skills to ace Data & Analytics in Harrow

Frontend Engineering
React
Next.js
TypeScript
Mapping Libraries
Mapbox
Leaflet

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Infrahaus AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Infrahaus AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Infrahaus AI

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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