GIST Impact

Role Description We are looking for a DevOps Engineer to develop and support integrated automation solutions.Thisindividualwillworkinateamsetting,workingtocreate&maintainCI/CD pipelines,troubleshoot,enhance&manageoursoftwaredeliverypipelines,manageour cloudinfrastructureandcreatetoolingtostreamlineandenhancethecurrentautomation workflows and help build new workflows for next generation solutions. Responsibilities BethemainpointofcontactforourteamforCloudandInfrastructure management Develop, enhance and manage deployment automation pipelines implementing DevOps best practices Manage cloud infrastructure platforms Identify the scope of enhancements to our infrastructure and automation pipelines Assist in automating in-house processes Configuration Management for Cloud based infrastructure Manage and design deployment processes implementing cloud infrastructure security Requirements Requirements: Candidate with a well-rounded experience as a DevOps engineer Experience in software development for cloud-based applications and container-based solutions (Docker, Docker Swarm, Kubernetes) Computer Science degree or relevant experience in Software Development Experience handling large data sets Cloud management experience (primarily AWS and Azure) Setup and management of databases (MySQL, PostgreSQL), database services, virtual machines, virtual networks, IAM policies ComfortablewithVCS–GitHuband GitOps Experience in software development preferably in Java and Python preferred Experience in using Linux systems and bash scripting Experience in automating software deployments across environments using CI/CD pipelines. Experience working together with teams from several departments Understanding of best practices regarding system architecture, design, security, throughput, availability and scalability Show more Show less

Role Description WearelookingforaDevOpsEngineertodevelopandsupportintegratedautomation solutions.Thisindividualwillworkinateamsetting,workingtocreate&maintainCI/CD pipelines,troubleshoot,enhance&manageoursoftwaredeliverypipelines,manageour cloudinfrastructureandcreatetoolingtostreamlineandenhancethecurrentautomation workflowsandhelpbuildnewworkflowsfornextgenerationsolutions. Responsibilities BethemainpointofcontactforourteamforCloudandInfrastructure management Develop,enhanceandmanagedeploymentautomationpipelines implementing Implement and manage DevOpsbest practices Manage and configurecloudinfrastructure platforms/solutions Identify the scope of enhancements to our infrastructure and automation pipelines and implement them Assistinautomatingin-house processes Configuration Management for Cloud based infrastructure Manageanddesigndeploymentprocessesimplementingcloudinfrastructure security Requirements Requirements: 4+yearsofwell-roundedexperienceasaDevOps engineer Experienceinsoftwaredevelopmentforcloud-basedapplicationsand container-based solutions(Docker,DockerSwarm, Kubernetes) ComputerSciencedegreeorrelevantexperiencein the Software Development Life Cycle Experiencehandlinglargedata sets Cloudmanagementexperience(primarilyAWSand Azure) Setupandmanagement ofdatabases and database services (MySQL, PostgreSQL – both managed and unmanaged) , virtualmachines,virtualnetworks,IAM policies, API Gateways. Experience in setting up and managing MLOps and LLMOps pipelines (experience with AWS Bedrock, Langchain, vector databases) ComfortablewithVCS–GitHuband GitOps Experience in software development preferably in Java, Javascript or Python preferred Experiencein managing and usingLinuxsystemsand writing bash scripts Experience in automating software and deployment processes for CI/CD. Experienceworkingtogetherwithteamsfromseveral departments and great communication skills Understandingofbestpracticesregardingsystemarchitecture,design, security, throughput, availability and scalability Show more Show less

Job Title Engineering Lead at GIST Impact, based out of Bengaluru - On-site Role Company Details GIST Impact, based in Nyon, Switzerland, is a leading environmental services company providing impact data and analytics. With over 100 scientific experts, it supports companies and investors globally in measuring and quantifying corporate impacts across markets. Job Roles & Responsibilities - Lead AI/ML engineering projects to enhance GIST Impact's data analytics platforms. - Develop and optimize machine learning models using Python, PyTorch, Scikit-Learn, and TensorFlow. - Collaborate with a multidisciplinary team of scientists, engineers, and data scientists. - Drive innovation in impact data computation and ESG analytics. - Ensure scalability and efficiency in handling large, geographically precise datasets. - Mentor junior engineers and promote best practices in AI/ML development. - Interface with clients and partners to align product features with market needs. - Stay updated on industry trends in AI/ML and environmental services for continuous product improvement. Cultural Expectations - Collaborate effectively with diverse teams of scientists, data scientists, and economists - Communicate complex ideas clearly to technical and non-technical stakeholders - Foster a culture of continuous learning and innovation - Champion sustainable practices and impact-driven solutions - Align projects with GIST Impact’s mission for precise impact measurement - Promote teamwork in a fast-paced, dynamic environment Hiring Process Profile shortlisting Automated coding Tech interview Tech interview Tech interview Tech interview Show more Show less

Role Description We are seeking a detail-oriented and analytical finance professional to join our team, specializing in Management Reporting, Analysis and financial modelling. The ideal candidate will play a critical role in financial data analysis, reporting, and supporting decision-making processes. Proficiency in advanced Excel, data visualization, and presentation skills is essential for success in this role. Job Duties And Responsibilities Finance Transformation & Process Optimization Lead and project manage end-to-end delivery of key finance transformation initiatives across the group. Redesign and implement improvements to core finance processes to enhance automation, control, and scalability. Oversee and drive process improvements through template creations and training across: Month-end close Purchase ledger Order-to-cash Expense management Approval workflows Develop and maintain finance templates, forms, and SOPs. Design, structure and help create the investor data room to support audits, fundraising, and due diligence. Contribute to project-based financial initiatives with a focus on automation and operational efficiency. Standardize and roll out balance sheet reconciliation templates across the group. MIS Reporting & Analysis Design and roll out maintenance of monthly MIS dashboards to monitor financial performance, KPIs, and business metrics. Create the capabilities to analyze and present financial data, including P&L, budgets, forecasts, and variance reports. Project manage and roll out the timeliness of all management reports, dashboards, and presentations. Financial Modeling & Data Management Build and manage integrated financial models for budgeting, forecasting, scenario analysis and variance analysis. Collect, organize, and validate financial and operational data from multiple systems. Ensure data integrity and resolve discrepancies effectively. Presentation & Visualization Prepare clear and compelling templates for presentations using PowerPoint for internal and external stakeholders. Visualize complex data for decision-making using charts, graphs, and dashboards. Collaboration & Stakeholder Management Work closely with finance, operations, and cross-functional teams to enhance data flow and reporting. Support audit processes, reconciliations, and other ad-hoc finance projects. Upskill and train team members to embed best practices and tools. Continuous Improvement Identify opportunities for streamlining reporting processes and automating manual tasks. Stay updated with financial reporting trends, tools, and best practices. Desired Professional Traits Proactive and self-motivated with a strong sense of ownership. Natural problem-solver who can identify process gaps and drive implementation. Collaborative mindset with the ability to work cross-functionally. Clear communicator who can translate complex data into actionable insights. Adaptable, curious, and eager to adopt new tools and best practices. Requirements Required Skills And Experience Master’s degree in Finance, Business Analytics, or a related field. Additional certification or coursework in Sustainability is a strong plus. Proven experience in financial reporting, MIS, and transformation in a scaling or tech environment of minimum 3 years. Advanced proficiency in Microsoft Excel (including pivot tables, formulas, charts, and scenario tools). Strong PowerPoint skills for presentation development. Familiarity with data visualization tools like Tableau , Power BI , or Google Data Studio is advantageous. Familiarity with accounting softwares like Tally, Bexio, Zoho Books, Xero . Excellent analytical, problem-solving, and data interpretation skills. Strong attention to detail and the ability to manage multiple priorities.

Role Description: We are seeking a detail-oriented and analytical finance professional to join our team, specializing in Management Reporting, Analysis and financial modelling. The ideal candidate will play a critical role in financial data analysis, reporting, and supporting decision-making processes. Proficiency in advanced Excel, data visualization, and presentation skills is essential for success in this role. Job Duties and Responsibilities: Finance Transformation & Process Optimization Lead and project manage end-to-end delivery of key finance transformation initiatives across the group. Redesign and implement improvements to core finance processes to enhance automation, control, and scalability. Oversee and drive process improvements through template creations and training across: Month-end close Purchase ledger Order-to-cash Expense management Approval workflows Develop and maintain finance templates, forms, and SOPs. Design, structure and help create the investor data room to support audits, fundraising, and due diligence. Contribute to project-based financial initiatives with a focus on automation and operational efficiency. Standardize and roll out balance sheet reconciliation templates across the group. MIS Reporting & Analysis Design and roll out maintenance of monthly MIS dashboards to monitor financial performance, KPIs, and business metrics. Create the capabilities to analyze and present financial data, including P&L, budgets, forecasts, and variance reports. Project manage and roll out the timeliness of all management reports, dashboards, and presentations. Financial Modeling & Data Management Build and manage integrated financial models for budgeting, forecasting, scenario analysis and variance analysis. Collect, organize, and validate financial and operational data from multiple systems. Ensure data integrity and resolve discrepancies effectively. Presentation & Visualization Prepare clear and compelling templates for presentations using PowerPoint for internal and external stakeholders. Visualize complex data for decision-making using charts, graphs, and dashboards. Collaboration & Stakeholder Management Work closely with finance, operations, and cross-functional teams to enhance data flow and reporting. Support audit processes, reconciliations, and other ad-hoc finance projects. Upskill and train team members to embed best practices and tools. Continuous Improvement Identify opportunities for streamlining reporting processes and automating manual tasks. Stay updated with financial reporting trends, tools, and best practices. Desired Professional Traits: Proactive and self-motivated with a strong sense of ownership. Natural problem-solver who can identify process gaps and drive implementation. Collaborative mindset with the ability to work cross-functionally. Clear communicator who can translate complex data into actionable insights. Adaptable, curious, and eager to adopt new tools and best practices. Required Skills and Experience: Masters degree in Finance, Business Analytics, or a related field. Additional certification or coursework in Sustainability is a strong plus. Proven experience in financial reporting, MIS, and transformation in a scaling or tech environment of minimum 3 years. Advanced proficiency in Microsoft Excel (including pivot tables, formulas, charts, and scenario tools). Strong PowerPoint skills for presentation development. Familiarity with data visualization tools like Tableau , Power BI , or Google Data Studio is advantageous. Familiarity with accounting softwares like Tally, Bexio, Zoho Books, Xero . Excellent analytical, problem-solving, and data interpretation skills. Strong attention to detail and the ability to manage multiple priorities.

Role Description We are hiring a Senior Environmental Data Scientist to lead the technical development of nature and biodiversity data solutions. This is a high-impact individual contributor role for an environmental scientist first and foremost who is additionally an accomplished data scientist and programmer. You’ll be responsible for transforming scientific research into scalable analytics, building robust environmental data products, and supporting product development through direct technical contribution. You will also play a soft leadership role — supporting and mentoring junior data scientists, guiding generalists on environmental matters, and helping shape the long-term data science capacity of the Nature & Biodiversity team. This is a senior-level hire with a clear path to team leadership as our company grows. You will report to the Head of Nature & Biodiversity Products . Job Duties And Responsibilities Lead Development of Data Solutions: Design and implement advanced data pipelines, metrics, and models that assess how businesses interface with nature. Apply Environmental Science at Scale: Translate robust environmental science into analytical workflows that can support business decisions and regulatory needs. Drive Methodological Rigor: Incorporate peer-reviewed methodologies and scientific best practices into product development; stay ahead of innovations in the field. Architect Scalable Data Solutions: Develop performant, production-ready code and collaborate with engineers to build tools for spatial, temporal, and exploratory analysis. Mentor and Guide: Support junior data scientists, serve as the go-to environmental expert across functions, and help build the team’s overall environmental data science capacity. Engage with Frameworks: Apply knowledge of sustainability disclosure and risk frameworks (e.g. TNFD, ESRS, SBTN, SFDR) to develop solutions that meet evolving stakeholder needs. Collaborate and Communicate: Work cross-functionally with product, research, and engineering teams to translate scientific insight into real-world impact. Represent your work with external stakeholders as needed. Requirements Experience, Qualifications And Skills Environmental Expertise: PhD (preferred) or Master’s in environmental science, ecology, conservation, geosciences, or a closely related field. Experience: 5+ years applying data science to environmental or sustainability contexts; experience in a product-oriented or startup environment is a must. Programming & Engineering: Expert Python developer with strong engineering discipline (e.g., Git, unit testing, CI/CD); experience building high-quality analytical code. Geospatial & Remote Sensing: Advanced skills in spatial analysis, GIS tools, and remote sensing data workflows (e.g., raster/vector processing, spatial joins, indexing). Data Science & Machine Learning: Proficiency in statistical modelling, spatial ML, and fundamental AI/ML methods (e.g., scikit-learn, PyTorch, foundation models). Data Systems: Hands-on experience with relational and spatial databases (e.g., PostGIS), cloud data tools (e.g., Snowflake), and handling unstructured and structured data. Framework Fluency: Demonstrated ability to interpret and implement solutions aligned with environmental frameworks such as TNFD, ESRS, SFDR, and SBTN. Communication: Ability to explain complex ideas clearly to both technical and non-technical audiences; experience with data storytelling and visualization is a plus. Team Fit: Collaborative, proactive, impact-driven, and adaptable — comfortable with the fast pace and opportunities of a growing startup. Preferred Qualifications Deep experience with one or more particular nature-related domains, such as: biodiversity impact modeling; physical risk analysis; nature risk valuation. Experience contributing to or leading cross-disciplinary scientific or open-source projects. Work experience at corporate sustainability offices, financial institutions, regulatory bodies, or nature data providers.