Climate Modeller

Oho Group Ltd; Greater London; On-site; GBP 83,000 - 165,000; Part time

Benefits offered by this job

Mission-driven work with measurable environmental impact

Opportunity to shape core predictive models

Job summary

A climate tech startup is seeking an experienced contractor to design and implement predictive models that drive significant climate impact. The successful candidate will work closely with product and data teams to transform complex datasets into actionable insights. Key qualifications include proven expertise in predictive and statistical modelling, proficiency in Python and ML libraries, and a passion for sustainability. This role offers a chance to contribute to mission-driven work focused on environmental impact.

Qualifications

• Proven experience in predictive and statistical modelling.
• Proficiency in Python and relevant ML libraries.
• Ability to work independently in a fast-paced startup environment.
• Passion for climate and sustainability.

Responsibilities

• Design and implement predictive models for climate impact.
• Collaborate closely with product and data teams.
• Transform complex datasets into actionable insights.

Skills

Predictive modelling

Statistical modelling

Python

Machine Learning libraries

Independence

Passion for climate and sustainability

Tools

Pandas

scikit-learn

Job description

Overview

Contractor Opportunity - Predictive Modelling for Climate Tech Startup

A positive impact climate tech startup is seeking an experienced contractor to design and implement predictive models that deliver real-world climate impact. The contractor will collaborate closely with product and data teams to transform complex datasets into actionable insights.

Key Requirements

• Proven experience in predictive and statistical modelling
• Proficiency in Python and relevant ML libraries
• Ability to work independently in a fast-paced startup environment
• Passion for climate and sustainability

What’s on Offer

• Mission-driven work with measurable environmental impact
• Opportunity to shape core predictive models from the ground up