Senior data scientist Work, Jobs in Birch Vale, Dby (with Salaries)

Senior Remote Sensing / Computer Vision Specialist
TreeStock Ltd —Sheffield
- £28,000 - £50,000 a year
- Full-time
- Hybrid work
- Project management
- Machine learning
- Communication skills
- Flexitime
- Work from home
Quick apply
Senior Data Scientist
Informed Solutions —Altrincham
- Hybrid work
- Doctoral degree
- Master's degree
- Databases
- Gym membership
- Referral programme
Quick apply
Senior Data Scientist
Autotrader —Manchester
- £50,000 - £70,000 a year
- Machine learning
Senior Data Scientist
Code First Girls —Manchester
- Full-time
- Hybrid work
- Machine learning
- AI
- Leadership
Quick apply
Senior Data Scientist
Naimuri —Salford
- Full-time
- Hybrid work
- Machine learning
- Mentoring
- In-person
- Free parking
- Store discount
Senior Lead Data & AI Scientist
Lloyds Banking Group —Manchester
- £92,701 - £109,060 a year
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- Financial services
5d
Senior Data Scientist
AECOM —Manchester
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
11d
Lead Data Scientist
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Gym membership
- Referral programme
Quick apply
Senior Machine Learning Engineer (Manchester)
Fitch Group —Manchester
- Azure
- Master's degree
- AI
Geospatial Software Engineer
Informed Solutions —Altrincham
- Full-time
- Hybrid work
- Bachelor's degree
- Machine learning
- AI
- Gym membership
- Referral programme
Quick apply

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senior data scientist jobs near birch vale, dby

Senior Remote Sensing / Computer Vision Specialist

TreeStock Ltd
Sheffield

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Job details

Permanent | Full-time | Part-time upon request
£28,000 - £50,000 a year

Benefits

Casual dress
Flexitime
Work from home
Transport links
Employee stock ownership plan
Bereavement leave
Sick pay

Qualifications

TensorFlow
Forestry
QGIS
PyTorch
Computer vision
Project management
Machine learning
Data pipeline
Data science
Project management experience
Communication skills
Python
Data Science

Full job description

Company Description

TreeStock is a Sheffield-based forest technology startup built on a simple belief: trees and forests are too valuable to manage on guesswork. We combine UAV-captured data with machine learning to capture data on every individual tree at forest scale, turning it into detailed digital twins that foresters, ecologists and land managers can actually use.

Our purpose is to put genuinely state-of-the-art technology into the hands of the people working on the ground. Better tree data means healthier, better-managed forests and a clearer, more honest picture of the impact of environmental work. That sense of purpose is part of what draws people to TreeStock, alongside the pace and variety that comes with a fast-growing startup.

Role Description

We're hiring a Remote Sensing / Computer Vision Specialist to join TreeStock full-time in Sheffield. This is a hybrid role, and we're flexible on the balance between office and home working, with the option to be in the office full-time if you'd prefer.

You'll work on the core science behind our forest digital twins, applying computer vision and machine learning to Earth Observation and UAV-captured imagery to extract individual tree detections, species classifications and structural measurements at forest scale. You'll set the direction of our EO and computer vision work, working with the wider team to make sure your models connect properly with the wider data pipeline.

Day to day, that means processing and classifying multispectral imagery, building and refining detection and classification models, working with drone-captured datasets from active survey sites and validating outputs against ground-truth field data as we scale to new sites and species. You'll work closely with our product teams to get your outputs into the platform in a form that's genuinely useful to the people using it. Getting out into the field occasionally to fly drones and see how the data is actually captured is a real part of the role (wellies recommended).

We're not a typical 9 to 5 environment as we don't punch timecards or watch the clock here. As long as you bring passion, we're flexible, as we care about the work being done well far more than when or how.

Desirable

We know it's unlikely that any one person ticks most box below, this is a broad and fairly specialist field. If you have a genuine passion for Earth Observation, remote sensing or computer vision and want to apply it to something with real environmental impact, we'd still love to hear from you even if your experience doesn't map onto most below.

2+ years of experience in remote sensing, Earth Observation, computer vision or a closely related applied ML field
Hands-on experience with Python and modern ML/CV frameworks such as PyTorch or TensorFlow
Experience working with multispectral or hyperspectral imagery, whether from satellite, aerial or drone platforms
Familiarity with Earth Observation data sources such as Sentinel-2, Landsat or similar
Understanding of core remote sensing concepts such as spectral indices, radiometric or atmospheric correction, and image classification
Experience with geospatial tools such as QGIS, GDAL, rasterio or Google Earth Engine
Experience working closely with geospatial data scientists or geospatial data pipelines
Project management experience
Background or interest in forestry, ecology or environmental science
Comfortable working from our Sheffield office, with flexibility for hybrid working
Strong communication skills, with the ability to explain technical decisions clearly to non-technical stakeholders

Pay: £28,000.00-£50,000.00 per year

Benefits:

Bereavement leave
Casual dress
Employee stock ownership plan
Flexitime
Sick pay
Transport links
Work from home

Ability to commute/relocate:

Sheffield S1 2NS: reliably commute or plan to relocate before starting work (preferred)

Experience:

Computer vision: 1 year (preferred)
Remote Sensing: 1 year (preferred)
Geospatial Data: 1 year (preferred)

Work Location: Hybrid remote in Sheffield S1 2NS

Quick apply

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