Data Scientist - Climate Analytics

Key Skills

Python Programming, PySpark, SQL, Apache Airflow, Databricks, Kedro, AWS, Google Cloud Platform (GCP), Azure, Scala Programming, RDBMS, PostgreSQL, Amazon RedShift, Teradata, Snowflake, NoSQL, Apache Cassandra, Neo4J, Titan, MongoDB

Job Description

Who You'll Work With

You’ll work with McKinsey’s Climate Analytics team, ideally co-located with our team in Brussels, London or Zurich.

Our Climate Analytics team is McKinsey’s core team of experts who analyze, and generate insights from, the quantitative impact of climate change for our clients.

McKinsey’s Climate Analytics team is a small, close-knit team of ~8 within a broader team called ACRE. ACRE is composed of ~40 data scientists, engineers and expert consultants dedicated to conducting advanced analytics for food and agriculture clients. Although our Climate Analytics team is officially part of ACRE, and many of your core clients served will be agriculture clients because of this, our Climate Analytics team works across all sectors at McKinsey being impacted by climate change—for example, the public, energy, and financial sectors. Regardless of the sectors in which you work, you will get the opportunity to work with multi-disciplinary teams with digital, analytics, research and business backgrounds.

ACRE—and through extension, our Climate Analytics team—is an agile team within the firm whose goal is to use the latest analytical methods, incubate new technologies and drive innovative ways to develop new opportunities for the firm to make significant and lasting client impact – redefining what it means to provide the “best of the firm” to our clients. (Please note that all work right now is remote due to COVID-19). 

What You'll Do

You will leverage deep knowledge of climate and earth systems as well as analytical expertise to provide insights to clients (as part of a client service team), within ACRE by strengthening our core client product offerings, and across McKinsey and the public by synthesizing and disseminating climate-related insights via internally and externally published articles and visualizations.

Approximately half of your time will be spent solving specific business problems on client projects (either remotely or on site) and the other half of your time spent developing new, or improving upon existing, products for the Climate Analytics team within ACRE.

As a member of a client service team, you will leverage your creativity and problem-solving skills to design solutions to core business problems that best meet client needs and communicate the outcomes and insights of your work to primarily non-technical executive audiences. Some of the issues we are tasked with on a client project include: retrieving and processing large amounts of data from cloud storage, conducting analyses and generating insight based on medium to long term projected changes in climate, and more generally utilizing climate domain expertise to provide climate-specific insight and inform strategy for addressing climate risk across industries.

When working internally with the ACRE team, you will improve current product offerings (what we call “IP development”) to best meet our most common client needs. You will work in a collaborative agile team environment where you will bring together a variety of global data sources, implement different algorithms and utilize cutting edge methodologies and approaches to develop proprietary solutions. You will work together with our data engineering team to design and deploy applications and dashboards to deliver faster, more impactful insights to our clients.

Along the way, you will learn how to structure business problems and serve as a client advisor while working closely with other data scientists/engineers and senior leaders across industries shaping the future of climate. You will have access to unparalleled career acceleration, with ownership and responsibility to lead the work you do from day one in a collaborative, diverse, non-hierarchical environment. You will have the opportunity to travel to client sites, locally and around the world. Lastly, you will be able to provide direct and measurable impact to some of the largest players from energy to agriculture around the globe.

Qualifications

• Graduate degree (PhD/postdoc highly preferred) in atmospheric science, meteorology, climate/earth systems science, hydrology, civil/environmental engineering, astrophysics, or similar fields
• Required modeling experience: experience working with climate models (i.e. CMIP5 GCMs, RCMs, etc.), ensemble analysis, uncertainty quantification
• Preferred modeling experience: flood/hydrological modeling, bias correction/downscaling methods, climate impact assessments
• Knowledge required: climate risk assessment, extreme events analysis
• Ability to work with large, multi-dimensional data (e.g. netCDF, GRIB, TIFF files) 
• Python knowledge required (experience with xarray and knowledge of basic software engineering principles highly preferred)
• Experience working with Linux and command line scripting (i.e. bash, zsh), and familiarity with cloud computing environments highly preferred
• Self-management skills and ability to work as part of an Agile team
• Strong multitasking and parallel development abilities
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
• Strong interpersonal communication skills
• Creative, naturally curious, and willing to take intellectual risks
• Able to work under competing, quickly-changing priorities, manage expectations effectively and support the team under pressure
• Willingness to travel up to 50% (will likely travel 20-40%) (after current McKinsey travel restrictions due to COVID-19 are lifted; all work is currently remote)