KTP Associate: Data Scientist (Deep Learning and Image Processing)
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Position Overview & Specifications
To use deep learning techniques to integrate multiple data (e.g., LiDAR, images, and tabular
data) and develop an AI-driven Automated Surveying Capability to improve Peatland condition
monitoring and assessment; to enable peatland owners to scale peatland restoration, to increase
capacity and access to peatland carbon markets and to deliver major carbon benefits.
This position is initially for a 30 month fixed term contract, employed by Teesside University
and working day to day with CSX Carbon in Northallerton.
The appointed candidate will have access to a £5k dedicated training budget tailored towards
their personal development, access to leading industry experts and supervision from a leading
academic research team from Teesside University’s, led by Dr Annalisa Occhipinti.
About CSX Carbon:
Climate Solutions Exchange Limited (CSX) is a supply side solution to the Natural Capital
markets. Their purpose is to help develop a trusted Natural Capital market empowering land
managers to obtain a fair financial return for environmental management and provide businesses
transparent, verified carbon & biodiversity credits. Their vision is to connect land
managers with businesses who together can deliver Nature Based Solutions to accelerate the
fight against the climate crisis.
About KTP: This position forms part of the Knowledge Transfer Partnership (KTP) funded by
Innovate UK. It’s essential you understand how KTP works with business and the University, and
the vital role you will play if you successfully secure a KTP Associate position.
Qualifications we require:
MSc within Computer Science, Data Science or Artificial Intelligence (essential)PhD degree in computer science, or related subject and additional qualification in Image
Processing related applications (desirable)
Ideal Candidates will have the following Knowledge and Experience:
Strong technical Machine Learning and Deep Learning techniques to work with multi-modal data
(LiDAR, images and tabular data). Working knowledge of qualitative and quantitative data
design, collection and analysisExperience in the field of deep learning. and strong programming skills (Python or R).Good theoretical and applied knowledge of the design and development of machine and deep
learning, optimisation and data-driven modelling techniquesStrong communication skills and project management experience
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for KTP Associate: Data Scientist (Deep Learning and Image Processing) roles across Climate Solutions Exchange Ltd (CSX)'s corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £35,000 - £38,000 bracket, including retirement vesting and health parity.
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