Overview Senior Analytics Analyst Location: London About us IQUW is a speciality (re)insurer at Lloyd's (Syndicate 1856) underwriting a diverse range of Property, Commercial and Speciality (re)insurance products from Cargo and Marine to Political Violence, Terror and War. We combine data, intelligent automation and human expertise to make smart decisions, fast. ERS is the UK's largest specialist motor insurer with an A+ rating. We recognize that for some, motor insurance is more than just a must-have; it's a way of taking care of what stands at the heart of their passion or livelihood. For those people, standard insurance isn't enough. That's why we work exclusively with motor insurance brokers to help get under the skin of the most difficult insurance risks, helping build products to meet their customer's needs. IQUW Group has a hybrid working model that offers flexibility while maintaining opportunities for collaboration and connection with colleagues in person. Our hybrid working model will consist of 3 days per week in the office and 2 days working remotely. Teams can coordinate specific in-office days to support collaboration and flexibility. The role The Senior Analytics Analyst supports the Exposure Management Team as IQUW expands its underwriting of Specialty, Commercial and Reinsurance business. The successful candidate will focus on developing advanced analytics on our portfolios, supporting underwriting teams to optimize capital use and manage exposures. This role emphasizes geospatial analysis skills, coding, exposure modelling, data visualisation, and an analytical mindset. It is a unique opportunity to work in a fast-growing environment where exposure management and analytics are central to our business. We seek an individual who will bring expertise and contribute to developing robust, innovative analytics to help IQUW achieve a profitable and optimized portfolio. Key responsibilities Support the Senior Analytics Manager in building geospatial analytics and developing the Unified Exposure Framework to identify opportunities and risks, including: Design, implement, and maintain exposure frameworks, analytics, and tools Manage and monitor the Group's aggregate catastrophe exposures (natural and non-natural perils) Ensure catastrophe exposure is well understood, measured, and communicated across the business Develop automated reporting to support underwriting decisions, controls, and risk appetite optimization Assist in cascading the 'View of Risk' into underwriting processes and articulating risk appetites Support the delivery of regulatory exposure management reports Develop analytics for reinsurance strategy and data submissions, representing the portfolio via multiple risk views Participate in ad-hoc projects to enhance Exposure Management capabilities The above duties are not exhaustive, and other duties may be assigned as needed. This description may be updated to reflect changing business needs. Qualifications, skills and experience Strong geospatial analysis expertise (e.g., QGIS, ARCGIS) Proficiency in programming languages like Python or R for data manipulation Experience designing systems and dashboards for catastrophe exposure monitoring Experience in a Catastrophe Modelling / Exposure Management team Effective communication skills (written and face-to-face) Knowledge of catastrophe models and their application Experience with reinsurance structures and portfolio recovery allocation Core behavioural competencies Analytical, problem-solving, and critical thinking skills Ability to question assumptions and challenge proposals Excellent communication and collaboration skills Self-motivated, organized, and committed Strong interpersonal skills for effective relationship management Please note this is not a Data Analyst role.
Jul 17, 2025
Full time
Overview Senior Analytics Analyst Location: London About us IQUW is a speciality (re)insurer at Lloyd's (Syndicate 1856) underwriting a diverse range of Property, Commercial and Speciality (re)insurance products from Cargo and Marine to Political Violence, Terror and War. We combine data, intelligent automation and human expertise to make smart decisions, fast. ERS is the UK's largest specialist motor insurer with an A+ rating. We recognize that for some, motor insurance is more than just a must-have; it's a way of taking care of what stands at the heart of their passion or livelihood. For those people, standard insurance isn't enough. That's why we work exclusively with motor insurance brokers to help get under the skin of the most difficult insurance risks, helping build products to meet their customer's needs. IQUW Group has a hybrid working model that offers flexibility while maintaining opportunities for collaboration and connection with colleagues in person. Our hybrid working model will consist of 3 days per week in the office and 2 days working remotely. Teams can coordinate specific in-office days to support collaboration and flexibility. The role The Senior Analytics Analyst supports the Exposure Management Team as IQUW expands its underwriting of Specialty, Commercial and Reinsurance business. The successful candidate will focus on developing advanced analytics on our portfolios, supporting underwriting teams to optimize capital use and manage exposures. This role emphasizes geospatial analysis skills, coding, exposure modelling, data visualisation, and an analytical mindset. It is a unique opportunity to work in a fast-growing environment where exposure management and analytics are central to our business. We seek an individual who will bring expertise and contribute to developing robust, innovative analytics to help IQUW achieve a profitable and optimized portfolio. Key responsibilities Support the Senior Analytics Manager in building geospatial analytics and developing the Unified Exposure Framework to identify opportunities and risks, including: Design, implement, and maintain exposure frameworks, analytics, and tools Manage and monitor the Group's aggregate catastrophe exposures (natural and non-natural perils) Ensure catastrophe exposure is well understood, measured, and communicated across the business Develop automated reporting to support underwriting decisions, controls, and risk appetite optimization Assist in cascading the 'View of Risk' into underwriting processes and articulating risk appetites Support the delivery of regulatory exposure management reports Develop analytics for reinsurance strategy and data submissions, representing the portfolio via multiple risk views Participate in ad-hoc projects to enhance Exposure Management capabilities The above duties are not exhaustive, and other duties may be assigned as needed. This description may be updated to reflect changing business needs. Qualifications, skills and experience Strong geospatial analysis expertise (e.g., QGIS, ARCGIS) Proficiency in programming languages like Python or R for data manipulation Experience designing systems and dashboards for catastrophe exposure monitoring Experience in a Catastrophe Modelling / Exposure Management team Effective communication skills (written and face-to-face) Knowledge of catastrophe models and their application Experience with reinsurance structures and portfolio recovery allocation Core behavioural competencies Analytical, problem-solving, and critical thinking skills Ability to question assumptions and challenge proposals Excellent communication and collaboration skills Self-motivated, organized, and committed Strong interpersonal skills for effective relationship management Please note this is not a Data Analyst role.
Remote Sensing Specialist (Carbon Offsetting) The Rewilding Company is a pioneering organisation dedicated to restoring and enhancing natural ecosystems through innovative rewilding practices. Our mission is to create resilient landscapes that support biodiversity, combat climate change, and foster sustainable communities. By leveraging cutting-edge technology and scientific research, we aim to revitalize degraded habitats and promote the reintroduction of native species. As we expand our efforts globally, we are looking for a Remote Sensing Specialist to join our dynamic team, bringing expertise in satellite imagery and data analysis to help monitor and assess the impact of our rewilding initiatives. Key words: Biodiversity assessments; Blue carbon; Carbon credits; Environmental Monitoring; Field Surveys; Forestry; Geospatial Analysis; LiDAR; Mangroves; REDD; Reforestation; Restoration; Sentinel 2. Key details Eligibility: Must have the right to work in the UK Qualifications: PhD in remote sensing and a background in the private sector (candidates with an MSc in remote sensing and strong experience in the private sector will also be considered) Working Arrangement: Fully remote Salary: £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are me Apologies in advance, but we won t respond to candidates that do not meet the eligibility and qualifications criteria. Key Responsibilities • Lead the innovation and integration of machine learning techniques to enhance the identification and classification of landcover types, ensuring high temporal and spatial resolution using remote sensing data (e.g., Sentinel 2, SAR, JAXA, Landsat imagery) while focusing on improving accuracy and reducing uncertainty. • Spearhead the development and deployment of machine learning models to monitor and predict both historic and ongoing changes in forest cover for conservation and reforestation projects, optimising outcomes through advanced analytics. • Drive the creation of dynamic, data-driven models that assess the annual risk of deforestation over the project lifetime, incorporating digital terrain models and leveraging predictive machine learning algorithms to forecast trends. • Lead carbon projection modelling over the project lifetime, utilising state-of-the-art satellite data, machine learning, and remote sensing techniques to enhance predictive accuracy. • Innovate and apply cutting-edge remote sensing and machine learning methods to monitor sea-level rise and its impact on project areas, ensuring timely insights for decision-making. • Develop models using satellite data and machine learning to determine forest height, soil organic carbon, forest biomass and tree species at high spatial and temporal resolutions, ensuring a comprehensive analysis of environmental health. • Identify suitable reforestation areas through machine learning-driven analysis of multi-source satellite and drone data, optimising land-use strategies. • Oversee the processing and analysis of drone-mounted remote sensing data, such as LiDAR, to enhance understanding of terrain and vegetation structures. • Lead efforts in modelling species zonation using advanced machine learning techniques to refine ecosystem restoration strategies. • Develop innovative methodologies for utilising remote sensing and machine learning approaches to baseline and monitor social and biodiversity impacts. • Collaborate with operational teams to integrate field data with remote sensing outputs. Essential Skills and Qualifications: • Master s degree or PhD in Remote Sensing, Geospatial Science, Environmental Science, or a related field, with a proven ability to lead innovation in the application of machine learning to geospatial analysis. • Extensive experience in remote sensing, GIS applications, and advanced data analytics, with a focus on leveraging machine learning to improve decision-making. • Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS tools (e.g., ArcGIS, QGIS), as well as experience in machine learning libraries such as TensorFlow or PyTorch. • Demonstrated experience in processing and interpreting satellite imagery (e.g., Sentinel 2, Landsat) using machine learning and deep learning algorithms to reduce uncertainty and increase accuracy. • Ability to create commercial-standard data visualisations and communicate complex data insights to various audiences, from technical teams to non-expert stakeholders, adapting interpretation methods accordingly. • Willingness to work within an international, multicultural, remote team. • A commitment to openly share and collaboratively test work with colleagues throughout every stage of the process, fostering a culture of transparency, peer feedback, and continuous improvement. • Strong analytical and leadership skills, with a track record of driving innovation in remote sensing data processing and interpretation. • Ability to self-manage and adopt an agile approach to tasks, thriving in fast-paced, startup environments where adaptability and self-direction are key. • Proven commitment to staying updated with the latest advancements in remote sensing, machine learning, and environmental science, with the ability to challenge conventional approaches and foster both incremental and transformative change. • Experience incorporating fieldwork with remote sensing projects, collaborating with operational teams on the ground to collect and integrate underlying data. • Willingness to conduct field work, including to remote regions. • The right to work in the UK. Desired Skills: • Experience with carbon markets, Verra methodologies, and an understanding of how machine learning can optimise carbon credit calculations. • Familiarity with translating workflows into R and developing reproducible machine learning models. • Willingness to relocate to Cornwall, UK; enabling regular in person working with the CEO and Technical Lead. What We Offer: • £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are met. • Flexible working hours and a supportive remote work environment. • The opportunity to lead impactful projects that contribute to climate change mitigation and biodiversity preservation. • Opportunities for professional development and growth, with a focus on driving innovation and leading advancements in remote sensing and machine learning. How to Apply: • Interested candidates are invited to submit: • CV, focused on outputs of each role. • A covering letter succinctly evidencing your fit to the key responsibilities, skills and qualifications. • A short description (no more than 300 words) of how you have driven innovation in a past project particularly how you applied new technologies, improved efficiency, or solved complex problems. • Applications should be sent to - daniel(at)- with the title Remote Sensing Specialist Application TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCES
Feb 14, 2025
Full time
Remote Sensing Specialist (Carbon Offsetting) The Rewilding Company is a pioneering organisation dedicated to restoring and enhancing natural ecosystems through innovative rewilding practices. Our mission is to create resilient landscapes that support biodiversity, combat climate change, and foster sustainable communities. By leveraging cutting-edge technology and scientific research, we aim to revitalize degraded habitats and promote the reintroduction of native species. As we expand our efforts globally, we are looking for a Remote Sensing Specialist to join our dynamic team, bringing expertise in satellite imagery and data analysis to help monitor and assess the impact of our rewilding initiatives. Key words: Biodiversity assessments; Blue carbon; Carbon credits; Environmental Monitoring; Field Surveys; Forestry; Geospatial Analysis; LiDAR; Mangroves; REDD; Reforestation; Restoration; Sentinel 2. Key details Eligibility: Must have the right to work in the UK Qualifications: PhD in remote sensing and a background in the private sector (candidates with an MSc in remote sensing and strong experience in the private sector will also be considered) Working Arrangement: Fully remote Salary: £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are me Apologies in advance, but we won t respond to candidates that do not meet the eligibility and qualifications criteria. Key Responsibilities • Lead the innovation and integration of machine learning techniques to enhance the identification and classification of landcover types, ensuring high temporal and spatial resolution using remote sensing data (e.g., Sentinel 2, SAR, JAXA, Landsat imagery) while focusing on improving accuracy and reducing uncertainty. • Spearhead the development and deployment of machine learning models to monitor and predict both historic and ongoing changes in forest cover for conservation and reforestation projects, optimising outcomes through advanced analytics. • Drive the creation of dynamic, data-driven models that assess the annual risk of deforestation over the project lifetime, incorporating digital terrain models and leveraging predictive machine learning algorithms to forecast trends. • Lead carbon projection modelling over the project lifetime, utilising state-of-the-art satellite data, machine learning, and remote sensing techniques to enhance predictive accuracy. • Innovate and apply cutting-edge remote sensing and machine learning methods to monitor sea-level rise and its impact on project areas, ensuring timely insights for decision-making. • Develop models using satellite data and machine learning to determine forest height, soil organic carbon, forest biomass and tree species at high spatial and temporal resolutions, ensuring a comprehensive analysis of environmental health. • Identify suitable reforestation areas through machine learning-driven analysis of multi-source satellite and drone data, optimising land-use strategies. • Oversee the processing and analysis of drone-mounted remote sensing data, such as LiDAR, to enhance understanding of terrain and vegetation structures. • Lead efforts in modelling species zonation using advanced machine learning techniques to refine ecosystem restoration strategies. • Develop innovative methodologies for utilising remote sensing and machine learning approaches to baseline and monitor social and biodiversity impacts. • Collaborate with operational teams to integrate field data with remote sensing outputs. Essential Skills and Qualifications: • Master s degree or PhD in Remote Sensing, Geospatial Science, Environmental Science, or a related field, with a proven ability to lead innovation in the application of machine learning to geospatial analysis. • Extensive experience in remote sensing, GIS applications, and advanced data analytics, with a focus on leveraging machine learning to improve decision-making. • Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS tools (e.g., ArcGIS, QGIS), as well as experience in machine learning libraries such as TensorFlow or PyTorch. • Demonstrated experience in processing and interpreting satellite imagery (e.g., Sentinel 2, Landsat) using machine learning and deep learning algorithms to reduce uncertainty and increase accuracy. • Ability to create commercial-standard data visualisations and communicate complex data insights to various audiences, from technical teams to non-expert stakeholders, adapting interpretation methods accordingly. • Willingness to work within an international, multicultural, remote team. • A commitment to openly share and collaboratively test work with colleagues throughout every stage of the process, fostering a culture of transparency, peer feedback, and continuous improvement. • Strong analytical and leadership skills, with a track record of driving innovation in remote sensing data processing and interpretation. • Ability to self-manage and adopt an agile approach to tasks, thriving in fast-paced, startup environments where adaptability and self-direction are key. • Proven commitment to staying updated with the latest advancements in remote sensing, machine learning, and environmental science, with the ability to challenge conventional approaches and foster both incremental and transformative change. • Experience incorporating fieldwork with remote sensing projects, collaborating with operational teams on the ground to collect and integrate underlying data. • Willingness to conduct field work, including to remote regions. • The right to work in the UK. Desired Skills: • Experience with carbon markets, Verra methodologies, and an understanding of how machine learning can optimise carbon credit calculations. • Familiarity with translating workflows into R and developing reproducible machine learning models. • Willingness to relocate to Cornwall, UK; enabling regular in person working with the CEO and Technical Lead. What We Offer: • £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are met. • Flexible working hours and a supportive remote work environment. • The opportunity to lead impactful projects that contribute to climate change mitigation and biodiversity preservation. • Opportunities for professional development and growth, with a focus on driving innovation and leading advancements in remote sensing and machine learning. How to Apply: • Interested candidates are invited to submit: • CV, focused on outputs of each role. • A covering letter succinctly evidencing your fit to the key responsibilities, skills and qualifications. • A short description (no more than 300 words) of how you have driven innovation in a past project particularly how you applied new technologies, improved efficiency, or solved complex problems. • Applications should be sent to - daniel(at)- with the title Remote Sensing Specialist Application TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCES
Remote Sensing Specialist (Carbon Offsetting) The Rewilding Company is a pioneering organisation dedicated to restoring and enhancing natural ecosystems through innovative rewilding practices. Our mission is to create resilient landscapes that support biodiversity, combat climate change, and foster sustainable communities. By leveraging cutting-edge technology and scientific research, we aim to revitalize degraded habitats and promote the reintroduction of native species. As we expand our efforts globally, we are looking for a Remote Sensing Specialist to join our dynamic team, bringing expertise in satellite imagery and data analysis to help monitor and assess the impact of our rewilding initiatives. Key words: Biodiversity assessments; Blue carbon; Carbon credits; Environmental Monitoring; Field Surveys; Forestry; Geospatial Analysis; LiDAR; Mangroves; REDD; Reforestation; Restoration; Sentinel 2. Key details Eligibility : Must have the right to work in the UK Qualifications : PhD in remote sensing and a background in the private sector (candidates with an MSc in remote sensing and strong experience in the private sector will also be considered) Working Arrangement : Fully remote Salary : £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are me Apologies in advance, but we won't respond to candidates that do not meet the eligibility and qualifications criteria. Key Responsibilities • Lead the innovation and integration of machine learning techniques to enhance the identification and classification of landcover types, ensuring high temporal and spatial resolution using remote sensing data (e.g., Sentinel 2, SAR, JAXA, Landsat imagery) while focusing on improving accuracy and reducing uncertainty. • Spearhead the development and deployment of machine learning models to monitor and predict both historic and ongoing changes in forest cover for conservation and reforestation projects, optimising outcomes through advanced analytics. • Drive the creation of dynamic, data-driven models that assess the annual risk of deforestation over the project lifetime, incorporating digital terrain models and leveraging predictive machine learning algorithms to forecast trends. • Lead carbon projection modelling over the project lifetime, utilising state-of-the-art satellite data, machine learning, and remote sensing techniques to enhance predictive accuracy. • Innovate and apply cutting-edge remote sensing and machine learning methods to monitor sea-level rise and its impact on project areas, ensuring timely insights for decision-making. • Develop models using satellite data and machine learning to determine forest height, soil organic carbon, forest biomass and tree species at high spatial and temporal resolutions, ensuring a comprehensive analysis of environmental health. • Identify suitable reforestation areas through machine learning-driven analysis of multi-source satellite and drone data, optimising land-use strategies. • Oversee the processing and analysis of drone-mounted remote sensing data, such as LiDAR, to enhance understanding of terrain and vegetation structures. • Lead efforts in modelling species zonation using advanced machine learning techniques to refine ecosystem restoration strategies. • Develop innovative methodologies for utilising remote sensing and machine learning approaches to baseline and monitor social and biodiversity impacts. • Collaborate with operational teams to integrate field data with remote sensing outputs. Essential Skills and Qualifications: • Master's degree or PhD in Remote Sensing, Geospatial Science, Environmental Science, or a related field, with a proven ability to lead innovation in the application of machine learning to geospatial analysis. • Extensive experience in remote sensing, GIS applications, and advanced data analytics, with a focus on leveraging machine learning to improve decision-making. • Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS tools (e.g., ArcGIS, QGIS), as well as experience in machine learning libraries such as TensorFlow or PyTorch. • Demonstrated experience in processing and interpreting satellite imagery (e.g., Sentinel 2, Landsat) using machine learning and deep learning algorithms to reduce uncertainty and increase accuracy. • Ability to create commercial-standard data visualisations and communicate complex data insights to various audiences, from technical teams to non-expert stakeholders, adapting interpretation methods accordingly. • Willingness to work within an international, multicultural, remote team. • A commitment to openly share and collaboratively test work with colleagues throughout every stage of the process, fostering a culture of transparency, peer feedback, and continuous improvement. • Strong analytical and leadership skills, with a track record of driving innovation in remote sensing data processing and interpretation. • Ability to self-manage and adopt an agile approach to tasks, thriving in fast-paced, startup environments where adaptability and self-direction are key. • Proven commitment to staying updated with the latest advancements in remote sensing, machine learning, and environmental science, with the ability to challenge conventional approaches and foster both incremental and transformative change. • Experience incorporating fieldwork with remote sensing projects, collaborating with operational teams on the ground to collect and integrate underlying data. • Willingness to conduct field work, including to remote regions. • The right to work in the UK. Desired Skills: • Experience with carbon markets, Verra methodologies, and an understanding of how machine learning can optimise carbon credit calculations. • Familiarity with translating workflows into R and developing reproducible machine learning models. • Willingness to relocate to Cornwall, UK; enabling regular in person working with the CEO and Technical Lead. What We Offer: • £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are met. • Flexible working hours and a supportive remote work environment. • The opportunity to lead impactful projects that contribute to climate change mitigation and biodiversity preservation. • Opportunities for professional development and growth, with a focus on driving innovation and leading advancements in remote sensing and machine learning. How to Apply: • Interested candidates are invited to submit: • CV, focused on outputs of each role. • A covering letter succinctly evidencing your fit to the key responsibilities, skills and qualifications. • A short description (no more than 300 words) of how you have driven innovation in a past project-particularly how you applied new technologies, improved efficiency, or solved complex problems. • Applications should be sent to with the title 'Remote Sensing Specialist Application'
Feb 04, 2025
Full time
Remote Sensing Specialist (Carbon Offsetting) The Rewilding Company is a pioneering organisation dedicated to restoring and enhancing natural ecosystems through innovative rewilding practices. Our mission is to create resilient landscapes that support biodiversity, combat climate change, and foster sustainable communities. By leveraging cutting-edge technology and scientific research, we aim to revitalize degraded habitats and promote the reintroduction of native species. As we expand our efforts globally, we are looking for a Remote Sensing Specialist to join our dynamic team, bringing expertise in satellite imagery and data analysis to help monitor and assess the impact of our rewilding initiatives. Key words: Biodiversity assessments; Blue carbon; Carbon credits; Environmental Monitoring; Field Surveys; Forestry; Geospatial Analysis; LiDAR; Mangroves; REDD; Reforestation; Restoration; Sentinel 2. Key details Eligibility : Must have the right to work in the UK Qualifications : PhD in remote sensing and a background in the private sector (candidates with an MSc in remote sensing and strong experience in the private sector will also be considered) Working Arrangement : Fully remote Salary : £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are me Apologies in advance, but we won't respond to candidates that do not meet the eligibility and qualifications criteria. Key Responsibilities • Lead the innovation and integration of machine learning techniques to enhance the identification and classification of landcover types, ensuring high temporal and spatial resolution using remote sensing data (e.g., Sentinel 2, SAR, JAXA, Landsat imagery) while focusing on improving accuracy and reducing uncertainty. • Spearhead the development and deployment of machine learning models to monitor and predict both historic and ongoing changes in forest cover for conservation and reforestation projects, optimising outcomes through advanced analytics. • Drive the creation of dynamic, data-driven models that assess the annual risk of deforestation over the project lifetime, incorporating digital terrain models and leveraging predictive machine learning algorithms to forecast trends. • Lead carbon projection modelling over the project lifetime, utilising state-of-the-art satellite data, machine learning, and remote sensing techniques to enhance predictive accuracy. • Innovate and apply cutting-edge remote sensing and machine learning methods to monitor sea-level rise and its impact on project areas, ensuring timely insights for decision-making. • Develop models using satellite data and machine learning to determine forest height, soil organic carbon, forest biomass and tree species at high spatial and temporal resolutions, ensuring a comprehensive analysis of environmental health. • Identify suitable reforestation areas through machine learning-driven analysis of multi-source satellite and drone data, optimising land-use strategies. • Oversee the processing and analysis of drone-mounted remote sensing data, such as LiDAR, to enhance understanding of terrain and vegetation structures. • Lead efforts in modelling species zonation using advanced machine learning techniques to refine ecosystem restoration strategies. • Develop innovative methodologies for utilising remote sensing and machine learning approaches to baseline and monitor social and biodiversity impacts. • Collaborate with operational teams to integrate field data with remote sensing outputs. Essential Skills and Qualifications: • Master's degree or PhD in Remote Sensing, Geospatial Science, Environmental Science, or a related field, with a proven ability to lead innovation in the application of machine learning to geospatial analysis. • Extensive experience in remote sensing, GIS applications, and advanced data analytics, with a focus on leveraging machine learning to improve decision-making. • Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS tools (e.g., ArcGIS, QGIS), as well as experience in machine learning libraries such as TensorFlow or PyTorch. • Demonstrated experience in processing and interpreting satellite imagery (e.g., Sentinel 2, Landsat) using machine learning and deep learning algorithms to reduce uncertainty and increase accuracy. • Ability to create commercial-standard data visualisations and communicate complex data insights to various audiences, from technical teams to non-expert stakeholders, adapting interpretation methods accordingly. • Willingness to work within an international, multicultural, remote team. • A commitment to openly share and collaboratively test work with colleagues throughout every stage of the process, fostering a culture of transparency, peer feedback, and continuous improvement. • Strong analytical and leadership skills, with a track record of driving innovation in remote sensing data processing and interpretation. • Ability to self-manage and adopt an agile approach to tasks, thriving in fast-paced, startup environments where adaptability and self-direction are key. • Proven commitment to staying updated with the latest advancements in remote sensing, machine learning, and environmental science, with the ability to challenge conventional approaches and foster both incremental and transformative change. • Experience incorporating fieldwork with remote sensing projects, collaborating with operational teams on the ground to collect and integrate underlying data. • Willingness to conduct field work, including to remote regions. • The right to work in the UK. Desired Skills: • Experience with carbon markets, Verra methodologies, and an understanding of how machine learning can optimise carbon credit calculations. • Familiarity with translating workflows into R and developing reproducible machine learning models. • Willingness to relocate to Cornwall, UK; enabling regular in person working with the CEO and Technical Lead. What We Offer: • £35,000 - £50,000 (dependent on experience), plus a bonus of 50% of the salary if Key Performance Indicators are met. • Flexible working hours and a supportive remote work environment. • The opportunity to lead impactful projects that contribute to climate change mitigation and biodiversity preservation. • Opportunities for professional development and growth, with a focus on driving innovation and leading advancements in remote sensing and machine learning. How to Apply: • Interested candidates are invited to submit: • CV, focused on outputs of each role. • A covering letter succinctly evidencing your fit to the key responsibilities, skills and qualifications. • A short description (no more than 300 words) of how you have driven innovation in a past project-particularly how you applied new technologies, improved efficiency, or solved complex problems. • Applications should be sent to with the title 'Remote Sensing Specialist Application'
Reference No 18344 Job Title Geospatial Environmental Analyst Type Permanent Salary Range Competitive Division Residential Sub Division Research Department Residential Research () Location 55 Baker Street The Knight Frank Global Research team in London are currently looking to recruit a Geospatial Analyst with environmental background and 2-5 years of post-graduate experience. Working as part of a multi-award-winning Analytics team in our Baker Street HQ, your role will be to strengthen and advance the use of geospatial products and services across Knight Frank's internal business service functions and external multi-disciplinary client base. You will already be established in geospatial analytics or data visualisation and you will bring rich experience in the delivery of environmental projects to high level stakeholders and clients. You will design and lead analysis on datasets relating to residential and commercial property markets and global wealth, drawing together spatial data on market performance, local planning frameworks, land ownership, demographics, and transportation. Your analysis will not be limited to the UK and your outputs will cover each of the global markets Knight Frank operates in. You will be actively encouraged to look at new ways to analyse and visualise data, and you will bring the vision, spontaneity, and confidence to contribute ideas that gain traction with our clients and wider PropTech commentators. You'll join a committed team of geographers, urbanists and technical specialists who are passionate about what we do and who have fun doing it. To be successful in the Geospatial Analyst role, you will have the following skills and experience: Environmental Science, Geomatics, or Geography degree More than 2 years' commercial industry experience Experience in advanced data analytics and visualisation Advanced data creation and spatial data management skills Experience in Environmental management, sustainability, or impact assessment is highly desirable Keen interest in global environmental chance and disaster and humanitarian relief projects Strong competence in Geoprocessing tools and Model Builder Competence in the use of Spatial Analyst, Network Analyst, and 3D Analyst extensions Experience and understanding of ArcGIS Pro, Online, and Server Experience and understanding of Python / ArcPy, as well as Jupyter Notebook and SQL Experience in the deployment of Esri's suite of GIS products Strong excel skills i.e. VLookup, Pivot tables, and conditional formatting Knowledge of data interoperability and moving spatial data to Google Earth / CaroDB Strong knowledge of OS products and awareness of industry demographic and market data sources i.e. Land Registry, CACI, Experian, VOA and ONS
Jan 23, 2022
Full time
Reference No 18344 Job Title Geospatial Environmental Analyst Type Permanent Salary Range Competitive Division Residential Sub Division Research Department Residential Research () Location 55 Baker Street The Knight Frank Global Research team in London are currently looking to recruit a Geospatial Analyst with environmental background and 2-5 years of post-graduate experience. Working as part of a multi-award-winning Analytics team in our Baker Street HQ, your role will be to strengthen and advance the use of geospatial products and services across Knight Frank's internal business service functions and external multi-disciplinary client base. You will already be established in geospatial analytics or data visualisation and you will bring rich experience in the delivery of environmental projects to high level stakeholders and clients. You will design and lead analysis on datasets relating to residential and commercial property markets and global wealth, drawing together spatial data on market performance, local planning frameworks, land ownership, demographics, and transportation. Your analysis will not be limited to the UK and your outputs will cover each of the global markets Knight Frank operates in. You will be actively encouraged to look at new ways to analyse and visualise data, and you will bring the vision, spontaneity, and confidence to contribute ideas that gain traction with our clients and wider PropTech commentators. You'll join a committed team of geographers, urbanists and technical specialists who are passionate about what we do and who have fun doing it. To be successful in the Geospatial Analyst role, you will have the following skills and experience: Environmental Science, Geomatics, or Geography degree More than 2 years' commercial industry experience Experience in advanced data analytics and visualisation Advanced data creation and spatial data management skills Experience in Environmental management, sustainability, or impact assessment is highly desirable Keen interest in global environmental chance and disaster and humanitarian relief projects Strong competence in Geoprocessing tools and Model Builder Competence in the use of Spatial Analyst, Network Analyst, and 3D Analyst extensions Experience and understanding of ArcGIS Pro, Online, and Server Experience and understanding of Python / ArcPy, as well as Jupyter Notebook and SQL Experience in the deployment of Esri's suite of GIS products Strong excel skills i.e. VLookup, Pivot tables, and conditional formatting Knowledge of data interoperability and moving spatial data to Google Earth / CaroDB Strong knowledge of OS products and awareness of industry demographic and market data sources i.e. Land Registry, CACI, Experian, VOA and ONS
We are Rezatec, a global specialist geospatial AI company providing landscape intelligence. Rezatec has an incredibly exciting journey ahead, with ambitious goals to expand our global customer base and develop new solutions. Our success is driven by our people. And we are keen to talk to talented individuals who are excited about developing one of the coolest technology platforms on the planet. Our powerful analytics platform fuses Artificial Intelligence with leading-edge satellite data, to look at the physical and environmental hazards that threaten asset integrity. We exist to help our customers prioritise investment, optimise resources and maximise the value of their assets in new ways. Founded in 2012, we have grown our customer base across multiple industry sectors including Forestry, Water, Agriculture and Energy. In 2013 we were awarded the 'Climate KIC award' and in 2018 we received 'The Most Innovative Technology Award' at Utility Week Live. We are backed by Gresham House Ventures, Claret Capital Partners, Caphaven Partners, and Run Capital Investment. Our tech partners include Binnies, MeterSYS, Forsite and ISOIL Industria. About the role: Reporting to the Team Lead Geospatial Engineer, the Machine Learning Engineer is responsible for transforming our machine learning ideas into deployed applications to help us deliver our product led vision and shape the business of the future. You will be collaborating with our Technical Head of Data Science, Data Engineering and Product teams, as well as other parts of the business to create industry-leading products that are robust, reliable and scalable through the leveraging of new and creative data-sources. You will use your expertise and continual improvement mindset to employ the latest in AI thinking and application of machine learning within the portfolio's creation. This will be particularly critical as we scale up our operations and strive to deliver higher quality data to a larger number of customers. Working as part of a matrix pod structure, you'll thrive in an environment of clear, continuous communication and collaboration and you'll be able to successfully manage multiple priorities in a dynamic agile setting. You'll embrace change, seeking opportunities through curiosity and demonstrate a growth mindset. Responsibilities: Develop robust methods for standardising and deploying machine learning products, via experimentation and testing Design and develop new machine learning workflows/products from initial prototype through to productised application, working with key stakeholders to deliver solutions that meet customer requirements Constructively review and seek out feedback on implemented methods to capture learnings and improve for the future Proactively suggest improvements to existing processes Provide insight on the feasibility of ideas to ensure that the best quality products are created, in the simplest way possible Provide insight and support to the rest of the company on Machine Learning engineering topics Working closely with the Data Science Team to ensure work produced is of meets the standards for deployment and ver Helping to build and maintain the data warehouse capability ensuring the inputs, products and models can be easily retrieved and used as a trusted source to build out Rezatec's portfolio and capabilities Requirements: Proven track record of both the understanding and application of machine learning techniques and algorithms in a commercial setting (Regressions, Decision Trees, Random Forest, SVM, NNs) with an advance Level of Python (R desirable) Ability to evaluate statistical and ML models keeping in mind performance, accuracy, robustness, maintainability, and quality Experience using SQL and accessing APIs in a language of choice Understanding of database design best practices Experience of building and maintaining ML pipelines, algorithms, and applications Familiarity with machine learning frameworks (like TensorFlow or PyTorch) and libraries (like scikit-learn) Experience with Git-based version control systems Comfortable working with complex and incomplete datasets Experience with common software containerization tools (e.g. Docker, Kubernetes) Experience developing data pipelines with workflow orchestrations tools (e.g. Prefect, Apache Airflow) Experience working with geospatial data, both raster and vector Experience with CI/CD tools Experience of working in a fast moving, high growth business would be advantageous - Remote Working and Flexible Working Private Healthcare 30 days holiday (public holiday on top) All equipment offered for home working Yearly bonus Wellbeing program Learning and development Pension Rezatec Share Options for all employees Phone Screen Technical Competency Interview Task Technical Interview (Final Interview) Offer Machine Learning, Python, Data Modeling, SQLMachine Learning, Python, Data Modeling, SQL, APIs, Tensorflow, PyTorch, Scikit, Git
Dec 04, 2021
Full time
We are Rezatec, a global specialist geospatial AI company providing landscape intelligence. Rezatec has an incredibly exciting journey ahead, with ambitious goals to expand our global customer base and develop new solutions. Our success is driven by our people. And we are keen to talk to talented individuals who are excited about developing one of the coolest technology platforms on the planet. Our powerful analytics platform fuses Artificial Intelligence with leading-edge satellite data, to look at the physical and environmental hazards that threaten asset integrity. We exist to help our customers prioritise investment, optimise resources and maximise the value of their assets in new ways. Founded in 2012, we have grown our customer base across multiple industry sectors including Forestry, Water, Agriculture and Energy. In 2013 we were awarded the 'Climate KIC award' and in 2018 we received 'The Most Innovative Technology Award' at Utility Week Live. We are backed by Gresham House Ventures, Claret Capital Partners, Caphaven Partners, and Run Capital Investment. Our tech partners include Binnies, MeterSYS, Forsite and ISOIL Industria. About the role: Reporting to the Team Lead Geospatial Engineer, the Machine Learning Engineer is responsible for transforming our machine learning ideas into deployed applications to help us deliver our product led vision and shape the business of the future. You will be collaborating with our Technical Head of Data Science, Data Engineering and Product teams, as well as other parts of the business to create industry-leading products that are robust, reliable and scalable through the leveraging of new and creative data-sources. You will use your expertise and continual improvement mindset to employ the latest in AI thinking and application of machine learning within the portfolio's creation. This will be particularly critical as we scale up our operations and strive to deliver higher quality data to a larger number of customers. Working as part of a matrix pod structure, you'll thrive in an environment of clear, continuous communication and collaboration and you'll be able to successfully manage multiple priorities in a dynamic agile setting. You'll embrace change, seeking opportunities through curiosity and demonstrate a growth mindset. Responsibilities: Develop robust methods for standardising and deploying machine learning products, via experimentation and testing Design and develop new machine learning workflows/products from initial prototype through to productised application, working with key stakeholders to deliver solutions that meet customer requirements Constructively review and seek out feedback on implemented methods to capture learnings and improve for the future Proactively suggest improvements to existing processes Provide insight on the feasibility of ideas to ensure that the best quality products are created, in the simplest way possible Provide insight and support to the rest of the company on Machine Learning engineering topics Working closely with the Data Science Team to ensure work produced is of meets the standards for deployment and ver Helping to build and maintain the data warehouse capability ensuring the inputs, products and models can be easily retrieved and used as a trusted source to build out Rezatec's portfolio and capabilities Requirements: Proven track record of both the understanding and application of machine learning techniques and algorithms in a commercial setting (Regressions, Decision Trees, Random Forest, SVM, NNs) with an advance Level of Python (R desirable) Ability to evaluate statistical and ML models keeping in mind performance, accuracy, robustness, maintainability, and quality Experience using SQL and accessing APIs in a language of choice Understanding of database design best practices Experience of building and maintaining ML pipelines, algorithms, and applications Familiarity with machine learning frameworks (like TensorFlow or PyTorch) and libraries (like scikit-learn) Experience with Git-based version control systems Comfortable working with complex and incomplete datasets Experience with common software containerization tools (e.g. Docker, Kubernetes) Experience developing data pipelines with workflow orchestrations tools (e.g. Prefect, Apache Airflow) Experience working with geospatial data, both raster and vector Experience with CI/CD tools Experience of working in a fast moving, high growth business would be advantageous - Remote Working and Flexible Working Private Healthcare 30 days holiday (public holiday on top) All equipment offered for home working Yearly bonus Wellbeing program Learning and development Pension Rezatec Share Options for all employees Phone Screen Technical Competency Interview Task Technical Interview (Final Interview) Offer Machine Learning, Python, Data Modeling, SQLMachine Learning, Python, Data Modeling, SQL, APIs, Tensorflow, PyTorch, Scikit, Git
We are Rezatec, a global specialist geospatial AI company providing landscape intelligence. Rezatec has an incredibly exciting journey ahead, with ambitious goals to expand our global customer base and develop new solutions. Our success is driven by our people. And we are keen to talk to talented individuals who are excited about developing one of the coolest technology platforms on the planet. Our powerful analytics platform fuses Artificial Intelligence with leading-edge satellite data, to look at the physical and environmental hazards that threaten asset integrity. We exist to help our customers prioritise investment, optimise resources and maximise the value of their assets in new ways Founded in 2012, we have grown our customer base across multiple industry sectors including Forestry, Water, Agriculture and Energy. In 2013 we were awarded the 'Climate KIC award' and in 2018 we received 'The Most Innovative Technology Award' at Utility Week Live. We are backed by Gresham House Ventures, Claret Capital Partners, Caphaven Partners, and Run Capital Investment. Our tech partners include Binnies, MeterSYS, Forsite and ISOIL Industria. About the role: The Software Engineer - Front-End is responsible for working closely with the Lead Software Engineer to develop scalable software solutions to support us in delivering our product led vision, shaping the business for the future. Reporting to the Platform owner, you will be working as part of a cross-functional team that is responsible for the full software life cycle, from conception to deployment. Your role will be instrumental in ensuring that we are matching business requirements and creating robust, documented and an easily maintainable codebase. You will be focussed on providing key inputs and proposing innovative solutions to help solve our customers problems to ensure Rezatec stays ahead of the curve in bringing new capability to market. With your understanding and application of front-end coding languages, you'll be a true collaborator, with the desire to challenge the status quo to achieve better outcomes for yourself, the team and the wider business. Working as part of a wider matrix pod structure, you'll thrive in an environment of clear, continuous communication and collaboration and you'll be able to successfully manage multiple priorities in a dynamic agile setting. You'll embrace change, seeking opportunities through curiosity and demonstrate a growth mindset. Responsibilities: Managing the deployment of the front-end codebase, ensuring code is efficient and maintainable Keep up to date with development trends and research new approaches, using this to inform any business case for change around proposing new development techniques and methodologies Translation of UI/UX designs to well-constructed, stable code Participate in code reviews to ensure consistency, effectiveness and continual improvement Building out our component library with performant and thoroughly tested components Working directly with Product Owners and UX / UI teams to ensure feasibility of designs and help form technical requirements that will deliver scalable solutions for our customers Create quality mock-ups and prototypes Write functional requirement documents and guides Collaborating with back-end developers in the integration of RESTful APIs Contribute and collaborate on ideas, opportunities, and blockers as part of your immediate pod and the wider Technology team on topics such as sharing information on industry insight and identifying blockers and opportunities for Rezatec Requirements: Extensive knowledge of HTML5, CSS3, CSS preprocessors, JavaScript and JavaScript framework libraries Extensive experience in React and Redux Experience of Cloud AWS and/or GCP Experience with RESTful services and APIs Understanding of responsive design Knowledge of Photoshop / Illustrator for preparation of optimized graphic resources and design / art working of UI Experience with version control (Git / Github / Bitbucket) Experience with JavaScript testing libraries (Jest / React Testing Library or similar) Understanding of Webpack bundling Understanding of current accessibility standards and cross browser / device compatibility Knowledge of Docker or CI/CD Experience of Agile and Kanban Experience of working in a fast moving, high growth SaaS business would be advantageous Excellent attention to detail and a high level of organisational ability is required, able to manage a varied workload and meet deadlines with, sometimes a changeable set of priorities Demonstrates a natural product mindset - offering scalable customer solutions, delivered simply, fast! Works well under pressure, able to make good judgements and decisions Resilient and tenacious, able to work at pace and adapt to change Demonstrates a customer first approach and is proactive in resolving any challenge that they are faced with - Remote Working and Flexible Working Private Healthcare 30 days holiday (public holiday on top) All equipment offered for home working Yearly bonus Wellbeing program Learning and development Pension Rezatec Share Options for all employees Phone Screen Technical Competency Interview Task Technical Interview (Final Interview) Offer HTML5/CSS3, JavaScript, React, ReduxHTML5/CSS3, JavaScript, React, Redux, AWS, APIs, Adobe Photoshop, Git, Jest
Dec 04, 2021
Full time
We are Rezatec, a global specialist geospatial AI company providing landscape intelligence. Rezatec has an incredibly exciting journey ahead, with ambitious goals to expand our global customer base and develop new solutions. Our success is driven by our people. And we are keen to talk to talented individuals who are excited about developing one of the coolest technology platforms on the planet. Our powerful analytics platform fuses Artificial Intelligence with leading-edge satellite data, to look at the physical and environmental hazards that threaten asset integrity. We exist to help our customers prioritise investment, optimise resources and maximise the value of their assets in new ways Founded in 2012, we have grown our customer base across multiple industry sectors including Forestry, Water, Agriculture and Energy. In 2013 we were awarded the 'Climate KIC award' and in 2018 we received 'The Most Innovative Technology Award' at Utility Week Live. We are backed by Gresham House Ventures, Claret Capital Partners, Caphaven Partners, and Run Capital Investment. Our tech partners include Binnies, MeterSYS, Forsite and ISOIL Industria. About the role: The Software Engineer - Front-End is responsible for working closely with the Lead Software Engineer to develop scalable software solutions to support us in delivering our product led vision, shaping the business for the future. Reporting to the Platform owner, you will be working as part of a cross-functional team that is responsible for the full software life cycle, from conception to deployment. Your role will be instrumental in ensuring that we are matching business requirements and creating robust, documented and an easily maintainable codebase. You will be focussed on providing key inputs and proposing innovative solutions to help solve our customers problems to ensure Rezatec stays ahead of the curve in bringing new capability to market. With your understanding and application of front-end coding languages, you'll be a true collaborator, with the desire to challenge the status quo to achieve better outcomes for yourself, the team and the wider business. Working as part of a wider matrix pod structure, you'll thrive in an environment of clear, continuous communication and collaboration and you'll be able to successfully manage multiple priorities in a dynamic agile setting. You'll embrace change, seeking opportunities through curiosity and demonstrate a growth mindset. Responsibilities: Managing the deployment of the front-end codebase, ensuring code is efficient and maintainable Keep up to date with development trends and research new approaches, using this to inform any business case for change around proposing new development techniques and methodologies Translation of UI/UX designs to well-constructed, stable code Participate in code reviews to ensure consistency, effectiveness and continual improvement Building out our component library with performant and thoroughly tested components Working directly with Product Owners and UX / UI teams to ensure feasibility of designs and help form technical requirements that will deliver scalable solutions for our customers Create quality mock-ups and prototypes Write functional requirement documents and guides Collaborating with back-end developers in the integration of RESTful APIs Contribute and collaborate on ideas, opportunities, and blockers as part of your immediate pod and the wider Technology team on topics such as sharing information on industry insight and identifying blockers and opportunities for Rezatec Requirements: Extensive knowledge of HTML5, CSS3, CSS preprocessors, JavaScript and JavaScript framework libraries Extensive experience in React and Redux Experience of Cloud AWS and/or GCP Experience with RESTful services and APIs Understanding of responsive design Knowledge of Photoshop / Illustrator for preparation of optimized graphic resources and design / art working of UI Experience with version control (Git / Github / Bitbucket) Experience with JavaScript testing libraries (Jest / React Testing Library or similar) Understanding of Webpack bundling Understanding of current accessibility standards and cross browser / device compatibility Knowledge of Docker or CI/CD Experience of Agile and Kanban Experience of working in a fast moving, high growth SaaS business would be advantageous Excellent attention to detail and a high level of organisational ability is required, able to manage a varied workload and meet deadlines with, sometimes a changeable set of priorities Demonstrates a natural product mindset - offering scalable customer solutions, delivered simply, fast! Works well under pressure, able to make good judgements and decisions Resilient and tenacious, able to work at pace and adapt to change Demonstrates a customer first approach and is proactive in resolving any challenge that they are faced with - Remote Working and Flexible Working Private Healthcare 30 days holiday (public holiday on top) All equipment offered for home working Yearly bonus Wellbeing program Learning and development Pension Rezatec Share Options for all employees Phone Screen Technical Competency Interview Task Technical Interview (Final Interview) Offer HTML5/CSS3, JavaScript, React, ReduxHTML5/CSS3, JavaScript, React, Redux, AWS, APIs, Adobe Photoshop, Git, Jest
