Python Programming, C++, SQL, Apache Hadoop, Machine learning techniques, Data science techniques, Alteryx, Deep Learning, MATLAB Programming, Natural Language Processing (NLP), R Programming, SAS
The Role: Senior Data Scientist, ESG Innovation and Analytics
Grade: 12 (internal use only)
Location: London UK, New York, Boston US, Sydney, AU
The Role: S&P Global Trucost is a leader in ESG data and risk analysis, providing data, tools and insights to companies and financial institutions for the last 18 years in order to inform capital allocation to more sustainable business models and better communicate ESG performance to their stakeholders.
We are looking for an experienced Senior Data Scientist based in London to join our ESG Innovation and Analytics Team, part of S&P Global’s newly formed ESG Organization (Sustainable1). The role will focus on building and growing the team’s capabilities in data science with a strong focus on geospatial and big data analysis. The role provides an opportunity to work on a variety of cutting-edge projects in the field of sustainable finance.
The Opportunity: In this role, you will be working across a diverse range of ESG issues covering climate change, ecosystems, biodiversity and more. With the support of the Head of Data Innovation you will lead the team’s work in this space.
The Impact: S&P Global Trucost’s expertise is providing data leveraged analytics and insights on ESG performance so that businesses and investors can understand how to direct investments that create value and avoid risk. We’ve been informing companies, financial institutions, regulators and thought leaders since 2000. S&P Global Trucost’s carbon data underpins the S&P Global Carbon Efficient Index series selected by Government Pension Investment fund for Japan (GPIF) to serve as the benchmark for their ESG investment strategy. S&P Global Trucost’s clients also include DBS Bank, ERAFP, Fidelity, Future Fund, Goldman Sachs, HSBC, State Street Global Advisors and UBS among many others.
The Team: Our team is composed of experienced professionals driven to identify the transformative solutions of tomorrow. The business has a casual and friendly atmosphere with an entrepreneurial spirit. We value teamwork and it is crucial that you are a team player to be successful within our organization.
The Hiring Manager says: “I am looking for a seasoned Data Scientist with extensive experience in applying geospatial data science to lead on the development of new datasets and analytics to support business and investment decision-making. You must be passionate about using data to answer complex sustainability questions”.
Compensation/Benefits Information (US Applicants Only):
S&P Global states that the anticipated base salary range for this position is $82,600 to $230,200. Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
Key responsibilities:
Essential skills:
Preferred Qualifications:
S&P Global Corporate
At S&P Global, we don’t give you intelligence—we give you essential intelligence. The essential intelligence you need to make decisions with conviction. We’re the world’s foremost provider of credit ratings, benchmarks and analytics in the global capital and commodity markets. Our divisions include S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices and S&P Global Platts.
S&P Global Inc. (prior to April 2016 McGraw Hill Financial, Inc., and prior to 2013 McGraw–Hill Companies) is an American publicly traded corporation headquartered in Manhattan, New York City. Its primary areas of business are financial information and analytics. It is the parent company of S&P Global Ratings, S&P Global Market Intelligence, and S&P Global Platts, CRISIL, and is the majority owner of the S&P Dow Jones Indices joint venture.
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