Hydrological Data Scientist + ML for Water Resources

Advance Training & Recruitment Services; Wallingford; On-site; GBP 35,000 - 42,000; Full time

Job summary

A leading consultancy in environmental science is seeking an Environmental Data Scientist / Hydrologist in Wallingford. You will develop hydrological modelling tools and utilize machine learning to address challenges in water management and climate resilience. The role requires a numerate degree and programming skills. Benefits include employee ownership, generous leave, health support, and a dynamic work environment focused on professional development.

Benefits

Employee ownership benefits

Generous annual leave allowance

Employer-matched pension contributions

Health and wellbeing support

Dedicated annual training allowance

Flexible working hours

Unique office location with excellent facilities

Qualifications

• Good first degree (2:1 or above) in a numerate discipline.
• Strong programming skills in Python and/or R.
• Practical experience developing and applying machine learning models.

Responsibilities

• Develop and manage hydrological methods within a national water resource modelling platform.
• Contribute to the enhancement of UK flood estimation tools.
• Identify machine learning approaches to support existing hydrological models.

Skills

Programming skills in Python and/or R

Applying machine learning models

Working with spatial and temporal datasets

Strong written and verbal communication skills

Experience in hydrology or water-related environmental science

Education

Good first degree in Hydrology, Environmental Science, or related

Postgraduate qualification (desirable)

Job description

A leading consultancy in environmental science is seeking an Environmental Data Scientist / Hydrologist in Wallingford. You will develop hydrological modelling tools and utilize machine learning to address challenges in water management and climate resilience. The role requires a numerate degree and programming skills. Benefits include employee ownership, generous leave, health support, and a dynamic work environment focused on professional development.