… it’s 2030 and the world has taken major steps towards a low carbon economy. Data and analytical tools you developed to measure the climate impact of Rabobank’s clients made this transition possible. Rabobank serves clients in the global food and agricultural supply chain, real estate and SME markets and wants to lead the way to the energy transition. For each of these areas, determining our clients’ carbon footprint and knowing where the opportunities were to decrease emissions were the essential first steps to halting climate change and your work provided the answers.
As member of the Data Science team, with a focus on economics and sustainability, you’ll work together with 18 other data scientists and over 100 researchers in RaboResearch, the bank’s highly valued knowledge centre. This team generates data-driven insights, proprietary data sets, tools and models. Examples of projects we work on are real-time estimates of consumer expenditure in the Netherlands during Covid-19 lockdowns, based on bank transaction data, and investigating the potential damage to Dutch house foundations resulting from climate change. More examples of the work by RaboResearch can be accessed via the Rabobank Knowledge Hub.
Making a difference
You will be a member of the RaboResearch Data Science team focusing primarily, but not exclusively, on topics related to climate change and sustainability. This includes carbon footprint (forecasting), sustainability analysis based on large dataset and developing client tools, such as sustainability benchmarks. In this role you will:
Develop, maintain and help improve unique data sets, models and tools to support stakeholders and clients.
Develop models for carbon footprinting and Paris Alignment for different sectors.
Work closely together with subject matter experts in quantitative research projects.
Respond to information requests and research global and regional sustainability questions in collaboration with the global RaboResearch department.
Use your extensive knowledge in modelling and quantitative research skills, to model in a cloud-based environment.
As a data scientist, you will work in a diverse team with different levels of expertise, cultural backgrounds, gender, etc. Sharing knowledge and experience within this team and with other colleagues within RaboResearch and the bank is key to building an even stronger Data Science team. Our ideal candidate will:
Be an enthusiastic team player
Be able to share knowledge and expertise with other team members
Be capable of running projects independently but within the broader context of a bigger (complex) organization
Be capable of generating new relevant research ideas, topics, and working methods
Show a broad interests in multiple areas
Growing a better world together
Rabobank is a financial services provider for more than 8.5 million customers in 40 countries. Rabobank aim to contribute to real with our 'Growing a better world together'. We do so in countless ways, such as:
Thanks to an agreement with the UN World Food Programme, we facilitate more purchasing of agricultural products from small farmers in Rwanda, Tanzania and Zambia. We aim to expand this platform to include one and a half million farmers in 25 countries by 2030.
Development of the Carbon Bank in which we aims to transform vital sustainability efforts into commercially viable projects.
The Broad Welfare Indicator, developed by RaboResearch and the University of Utrecht, which measures how the local community is doing and creates an ongoing dialogue between Rabobank and regional stakeholders.
The Data4Food program, which sources and combines data across the global F&A chain to develop new services for our clients.
At RaboResearch we deliver relevant and distinctive insights for the bank and its clients. The different RaboResearch departments cover international food and agribusiness sectors, global financial markets, sustainability and the economies relevant to Rabobank – most importantly, the Netherlands, US, Brazil and Australia. Our forecasts and scenarios are used in key risk processes of the bank and help clients to make decisions in uncertain times. Our thematic research provides a deep understanding of the changes facing both the bank and its clients.
Boyd: “As a data scientist,it is an immense opportunity to have access to such a unique and rich set of data as that of Rabobank. AtRaboResearchwe manage the whole research process, from data collection to presenting insights to clients and that gives me the chance to develop myself towards a versatile and valuable data professional.”
Complex problem solving, creativity, and client orientation are essential for the role of Data Scientist at RaboResearch. Hence, it is important that you meet the following characteristics:
Knowledge or experience of working in climate change and/or sustainability would be an asset
Ability to translate stakeholders’ needs for insights into consulting or research projects with a quantitative scope
Connecting analytics to strategic insights
Ability to work productively in a global team, think critically and debate issues with a team from diverse cultural backgrounds
Ability to communicate research results effectively by translating complex models and outputs to clients and stakeholders
Strong interpersonal skills to build and maintain relationships within and outside RaboResearch
Fluent in English, both verbally and in writing. Proficiency in Dutch, Portuguese or Spanish is considered an advantage
A Master’s degree or PhD in data science or relevant quantitative discipline
A solid foundation of statistics, predictive modelling and machine learning
Experience in geospatial data analysis (with GeoPandas/GeoTrellis/GeoPySpark) or natural language processing is a plus
Modelling experience in real-life business settings with traditional and algorithmic (machine learning/Bayesian) approaches
Experience in big data analytics, including working with SQL and Spark on an Azure-based environment
Strong hands-on programming skills (preferably with Python) and experience in deploying models
Strong self-learning skills to follow (and to make use of) the latest developments in the fields of modelling and big data development
Do you want to become the ideal version of yourself? We would love to help you achieve this by focusing firmly on your growth and development, and investing in an environment where you can keep learning every day. We give you the space to innovate and initiate.
What we offer
We offer numerous opportunities to grow and to help you exceed your expectations, to do the right thing exceptionally well and to grow as a professional. In addition, based on a 36-hour working week, you can also expect:
A gross monthly salary between 3.260 and 5.384 (scale 8 and 9), depending on role and seniority level
A thirteenth month and holiday pay
An Employee Benefit Budget; Employees can determine how to spend this budget. This may include purchasing extra leave days, making extra pension contributions or even receiving a monthly cash pay-out
A personal budget that you can spend on activities related to your personal development and career
Flexible working times and locations (primary base is the Utrecht office)
A pension scheme, to which your contribution is only 3,5%.
Are you the person we're looking for? Are you ready to join RaboResearch and to make a difference to yourself, our customers and to society? We look forward to receiving your application.
Good to know:
Respond via the “Apply now” button. Responses will be handled in accordance with our vacancy management policy.
Gihon van Maarsen, Senior Recruiter, would be happy to answer any questions about the application procedure via Gihon.van.Maarsen@rabobank.nl.
A programming assignment and presentation of the results will be a part of the hiring process.
Please contact Hermen de Groot, head RaboResearch Data Science team, for more information about the team and your role as a data scientist at RaboResearch, Hermen.firstname.lastname@example.org
You will (preferably) be stationed at Rabobank HQ in Utrecht, the Netherlands. Rabobank has introduced it’s ‘digital first policy’ which gives staff the flexibility to work from home as well as from the office, depending on the need to meet and cooperate with colleagues.
Everyone is different and it is exactly those differences that help us become an even better bank. We look forward to meet you.