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About the Role

We are seeking a (Senior) Climate & Energy Data Scientist to strengthen our scenario and data capabilities at the interface of global mitigation pathways, climate policy analysis, and decision-relevant insights for countries. In this role, you will contribute to core projects including the Climate Action Tracker (CAT) assessments, the National Pathway Explorer (NPE 1.5), and global mitigation scenario analysis looking at Highest Possible Ambition (HPA) (e.g. using Integrated Assessment Models (IAMs) such as REMIND/GCAM). You will produce policy-relevant indicators such as 1.5°C compatibility, overshoot, CDR, methane, and fossil fuel phase-out timelines.

Responsibilities

Develop and assess global / national / sectoral mitigation pathways for their general use in project work.
Support evaluation of country pathways and policy packages (e.g., NDCs and related plans), including comparisons against Paris-aligned benchmarks and pathway features such as overshoot, CDR, methane and other super-pollutants.
Maintain and help evolve the Climate Action Tracker (CAT) scenario and assessment workflows, including routine running, documentation, and ongoing maintenance of global aggregation, equity, and country-level modelled pathway assessments, with links to temperature/climate-emulator pipelines where relevant.
Support data harmonisation and downscaling workflows as backup capacity — ensuring that emissions and energy data from different sources are consistently processed, spatially and sectorally disaggregated, and ready for use across the broader assessment pipeline.
Work with IAM scenario databases/ensembles (IPCC/IAMC-style formats, variable conventions, metadata, units) to produce policy-relevant indicators across emissions, energy, and key sectoral metrics.
Support equity/fair-share and just-transition assessments of national pathways (e.g., effort sharing / fair-share ranges) and fossil fuel phaseout plans.
Design and implement scenario diagnostics and quality checks (variable/region mappings, unit consistency, outlier detection, completeness checks) and document assumptions transparently.
Develop and maintain reproducible, collaborative Python pipelines for scenario ingestion, cleaning, harmonisation, and analysis (version control, testing, documentation).
Contribute to shared team infrastructure (e.g., data warehouse, standardised datasets, mappings, metadata practices) and improve internal standards for scenario handling.
Participate in the development of methods and approaches to define and evaluate global, national and sectoral climate action.

Requirements

PhD in a relevant field (e.g., climate or energy economics, engineering, physics, climate science, data science, or related) plus at least 5 years of relevant working experience; or equivalent professional background with demonstrated ability to conduct quantitative climate and energy analysis and applied scientific software or data work.
Strong understanding of climate policy concepts (1.5°C pathways, Net-Zero, overshoot, CDR, methane) and motivation to support Paris-aligned outcomes.
Strong, demonstrable Python skills and commitment to reproducible research (environments, documentation, testing).
Proven experience in collaborative software development: git workflows (branching/PRs), code review, and unit testing.
Familiarity with global mitigation pathway modelling such as IAM scenario ensembles and databases (IPCC/IAMC-style formats, variables, metadata/units).
Hands-on IAM modelling experience (e.g., running, modifying, or diagnosing an IAM; understanding key assumptions and how they shape results).
Familiarity with emissions data harmonisation and downscaling methods for aligning data from different models or sources and translating global or regional results to national or sectoral levels.
Familiarity with emulator-driven temperature assessment pipelines used in scenario evaluation (e.g., FAIR or MAGICC).
Some familiarity with equity, just transition, and fair-share approaches to assessing and comparing national pathways.

Skills

Python
Git workflows
Code review
Unit testing
IAM scenario ensembles and databases
IAM modelling
Emissions data harmonisation
Downscaling methods
Emulator-driven temperature assessment pipelines
Equity, just transition, and fair-share approaches

Location

Berlin, Germany

Work Type

Fixed-term contract
Long-term collaboration

Experience Level

Senior
At least 5 years of relevant working experience

Education Level

Benefits

Public transport ticket to Berlin
Company pension plan

About the Company

Climate Analytics is a global climate science and policy institute established in 2008 that delivers cutting-edge science, analysis and support to accelerate climate action and keep global warming below 1.5°C. Our international team is composed of roughly 170 staff. Half are based at our headquarters in Berlin, Germany, and the remainder work out of our five regional offices in Africa, Australia & Pacific, the Caribbean, South Asia and North America.

Equal Opportunity

We are a diverse and inclusive team and welcome your application regardless of your gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect that makes you unique.