Data Scientist, GRESB

Asset Impact

Salary not provided
Python
R
NumPy
Pandas
Mid and Senior level
Berlin

More information about location

GRESB

ESG data for financial markets

Open for applications

GRESB

ESG data for financial markets

101-200 employees

B2BSustainabilityAnalyticsReal EstateSaaSEnvironmental

Open for applications

Salary not provided
Python
R
NumPy
Pandas
Mid and Senior level
Berlin

More information about location

101-200 employees

B2BSustainabilityAnalyticsReal EstateSaaSEnvironmental

Company mission

To provide financial markets with actionable insights, ESG data and benchmarks.

Role

Who you are

  • We are looking for a skilled Data Scientist to join our team who loves to work with complex data sources and build robust, state-of-the-art models
  • This person should embrace a start-up mentality and be excited to take on new challenges as we discover them
  • Bachelor’s degree in a relevant field (e.g., Data Science or Engineering) or equivalent experience
  • Proficiency in Python and R for data analysis and modeling
  • Expertise in data visualization, statistical analysis, outlier detection, and related standard libraries (e.g., Pandas, NumPy, etc.)
  • Strong understanding of data cleaning and preparation techniques
  • Experience developing strong and flexible data QA processes
  • Demonstrated ability to approach challenges with creativity and innovative thinking to solve problems related to data modeling
  • A willingness to continuously learn and apply new techniques
  • English as a working language

Desirable

  • Interest in sustainability
  • Experience in finance or engineering
  • Experience in professional coding practices such as automated tests, object-oriented and data-centric programming, design patterns (such as SOLID principles), etc
  • Knowledge of machine learning and NLP
  • History of integrating business needs into design
  • Mentoring of team members

What the job involves

  • As a Data Scientist at Asset Impact, you will develop and manage complex data models, support product development, and maintain direct client engagement. You will work closely with cross-functional teams to ensure our data offerings remain accurate, impactful, and aligned with our clients’ needs
  • This role also requires supporting quality assurance (QA) processes and contributing to research initiatives within our AI product development
  • Data Modeling: Develop and maintain data science models and algorithms for key industry sectors, such as power, aluminum, and cement, ensuring data accuracy and applicability to client needs. Sectors may vary depending on project requirements
  • Product Development: Collaborate with the product team to integrate data-driven insights into product features and contribute to roadmap planning
  • Client Engagement: Serve as a technical resource, addressing client inquiries related to data models and disclosures and ensuring accurate and timely responses
  • Quality Assurance: Support with QA processes during quarterly data refreshes, ensuring data integrity and reliability across all products
  • Research and Methodologies: Lead and contribute to research efforts to improve the data modeling methodologies and stay abreast of advancements in data science, including machine learning applications
  • Documentation: Maintain comprehensive and up-to-date documentation for data models, methodologies, and processes to ensure transparency, reproducibility, and ease of future updates or audits
  • AI is a fast-growing climate data company, so your role will evolve. This means you will have opportunities to suggest, explore, and develop new tools and insights that can help AI achieve its impact-driven mission. It also means that your role and responsibilities will be driven by the growth of AI and your skills and interests
  • Likewise, besides your main focus, you can be involved in other activities such as building company culture, supporting recruitment, liaising with external stakeholders (e.g., financial institutions, research institutions, data providers, etc.), and/or helping our technical efforts

Our take

The international community has set a target for net zero emissions by 2050, but to make that happen, businesses need reliable data on environmental, social and governance (ESG) metrics. GRESB was founded in 2009 to provide ESG data on business assets based on self-reported data and has since become regarded as the gold standard for investment managers to assess their ESG performance.

GRESB is the only ESG framework specifically designed for real estate, and it has earned widespread adoption within the industry. The platform now covers over $8T in assets - more than double the amount reported in 2019 - solidifying its reputation as an essential tool for investment managers. This growth reflects the growing emphasis on sustainability in real estate investment and the increasing demand for transparent, reliable ESG data.

The company continues to evolve its ESG model to better serve its users. Recent moves include the acquisition of companies like Asset Resolution, which develops tools for acquiring data from hard-to-measure sectors. Alongside this, the company has substantial funding which will help it further enhance its offerings and play a critical role in the transition to a sustainable, net-zero economy.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

15% employee growth in 12 months

Company

Company benefits

  • Flexibility - set your schedule & work from home or the office
  • Transport - free public transportation to and from the office
  • Vacation - 25 days of annual leave plus national holidays
  • Learning - EUR 2,500 for professional development each year.
  • Relocation - customise relocation assistance for employees
  • Visa Support - visa sponsor is available for many roles if needed
  • Healthy Food - free healthy lunches are provided at the office
  • Learn Dutch - employer-provided language classes if desired
  • Team Events - enjoy offsite group activities and Friday drinks

Company HQ

Buitenveldert-Oost, Amsterdam, Netherlands

Leadership

Previously the CEO of Style Analytics. Prior to that, they worked at Finasta for 6 years as a Managing Director and General Manager. They also served as the COO at Sophis for 5 years and as the Managing Director at Thomson Reuters for 2 years.

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