Senior Environmental Data Scientist/Hydrologist (Hybrid, CPD)

Notjustlabcoats; Brighton; Hybrid; GBP 35,000 - 42,000; Full time

Job summary

A renowned consultancy is seeking a Senior Environmental Data Scientist/Hydrologist to lead teams on challenging projects related to water, transport, and renewable energy. This role requires a strong background in hydrology, expertise in Python and/or R, and the capability to develop and manage hydrological models. The successful candidate will work closely with clients, support scientific research, and enjoy benefits including a competitive salary and opportunities for hybrid working.

Benefits

Competitive salary, increasing with length of service

Employee Pension Scheme

Generous annual leave entitlement

Hybrid/flexible working opportunities

Healthcare plan

Career progression opportunities

Qualifications

• A UK Bachelor’s Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a cognate discipline.
• Considerable experience of coding, particularly using Python and/or R.
• Demonstrable experience of developing machine learning models, particularly when applied to environmental data.

Responsibilities

• Oversee the development of models and methods, utilising various software platforms.
• Create flow estimation, flood estimation, and catchment models.
• Identify opportunities for developing hydrological models, utilising machine learning.

Skills

Coding in Python

Coding in R

Machine learning model development

Handling complex data sets

Communication skills

Education

Bachelor’s Degree in Civil Engineering, Environmental Science or related discipline

Master’s Degree in relevant discipline

Tools

Qube

CERF

FEH Flood Modelling Suite

ReFH2

WINFAP5

Job description

A renowned consultancy is seeking a Senior Environmental Data Scientist/Hydrologist to lead teams on challenging projects related to water, transport, and renewable energy. This role requires a strong background in hydrology, expertise in Python and/or R, and the capability to develop and manage hydrological models. The successful candidate will work closely with clients, support scientific research, and enjoy benefits including a competitive salary and opportunities for hybrid working.