Junior Data Scientist Internship, Kayrros
Office located in Rue la Fayette, Paris
Energy and environmental geo-analytics company
Open for applications
Energy and environmental geo-analytics company
101-200 employees
Open for applications
Office located in Rue la Fayette, Paris
101-200 employees
Company mission
To give energy and industrial actors the data tools they need to optimize operations, tackle the climate challenge, navigate the energy transition and stay on top of fast-changing markets.
Role
Who you are
- This is an ideal opportunity if you are looking for a six-month internship starting between May and July 2024, and you want to join an impactful company
- You have a strong background and are passionate about image processing, machine learning, statistics, operations research. You are very interested in various topics including deep learning, time series analysis, computer vision, signal processing. You demonstrate experience in a least one of these areas
- You have strong programming skills in Python, SQL, Machine Learning libraries, data visualization packages and data manipulation. Previous exposures to GitHub and R programming preferred, or additional languages like Julia
- You are dynamic, curious and eager to learn about the questions underlying methane emissions monitoring and biomass
- You can design and deliver working prototypes in a fast-paced environment and then put them into production with the help of data engineers
- You can communicate clearly in English, including with non-technical people
- You are willing to be an active member of the team and have a real impact to the company success
What the job involves
- Data scientists play a key role at Kayrros, working both on R&D discovery topics and specific projects for customers
- Most of their work consists of developing models using various methods based on recent scientific papers including computer vision, machine and deep learning, and signal processing
- They also collaborate with data engineers to build robust pipelines and work hand in hand with data analysts to analyze and visualize the results of their models
- They face two main challenges:
- The diversity and complexity of data available. Kayrros has a strong expertise in remote sensing and has been working with data from many different sensors (multispectral, hyperspectral, SAR, LIDAR, geostationary). Understanding the specificities of each technology and choosing the most appropriate for a given problem is therefore a crucial step
- Kayrros is building knowledge around climate modeling and risk scenarii
- As a data scientist, you will therefore have to:
- Formulate problems considering available data and project constraints
- Explore and review existing approaches or relevant associated scientific literature
- Design, implement and test algorithms
- Continuously provide ideas to improve products and take part in all team discussions
- Grow a culture around remote sensing data
- You will work with an international team and practice your English (or Chinese, German, Greek, Portuguese...) on a day to day basis
Otta's take
Theo Margolius
COO of Otta
As the world becomes more conscious of its environmental impact, it is vital that big businesses are held accountable for their global emissions. Alongside this, there are phenomenal advancements in technology which provide the ability to monitor the transition from harmful energy sources to greener alternatives.
Kayrros is a geo-analytics company that uses satellite imagery and other alternative data technologies to monitor all physical assets in the global energy, natural resource and industrial sectors. The company aims to provide energy and industrial corporations with the data tools they need to optimize operations, and in turn, tackle the climate challenge. Kayrros seeks to utilise this market data to provide unique solutions and customer-specific product offerings.
This use of data will enable companies to navigate the energy transition and keep ahead of the fast-changing markets, with the company already assisting multiple operators and governments to make better informed environmental decisions. As the global drive towards sustainability intensifies, Kayrros is well positioned to continue to expand and develop its customer base.
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Mar 2022
$43.5m
LATE VC
Jun 2019
$2.8m
GRANT
Total funding: $80.8m
Company HQ
Chaussée-d'Antin, Paris, France
Articles
Founders
Antoine Rostand
(Co-Founder & President)Antoine is a graduate of the French Ecole Polytechnique engineering school, and holds an MBA from INSEAD. Prior to co-founding Kayrros, Antoine was president and founder of the Schlumberger Energy Institute, Antoine was also president and founder of Schlumberger Business Consulting, SBC. Preceding his time at SBC, Antoine managed the European businesses of the Consulting and System Integration arm of SchlumbergerSema. From 1999 to 2002 Antoine was president of Electronic Data Systems in France.
Antoine Halff
(Co-Founder)Directs the global oil markets programme at Columbia University’s Center on Global Energy Policy. Former chief oil analyst of the International Energy Agency and former lead industry economist at the US Energy Information Administration, part of the US Department of Energy.
Jean-Michel Lasry
(Co-Founder)Quantitative finance theoretician with extensive business experience. Professor at Paris-Dauphine University and co-founder, and CEO, of MFG Labs. Worked as head of the quantitative team at BNP Paribas.
Laurent El Ghaoui
(Co-Founder)Professor of electrical engineering and computer sciences at UC Berkeley, and holds a PhD in Aeronautics and Astronautics from Stanford, as well as an MsC from the Ecole Polytechnique. Also worked as a quantitative analyst for the hedge fund SAC Capital Management.
Alexandre D'Aspremont
(Co-Founder)Holds PhDs from both Stanford University and Ecole Polytechnique, and is the scientific director of the MASH machine learning MSc at ENS & Université Paris Dauphine. Is a CNRS senior researcher and professor in the computer science department at Ecole Normale Superieure.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 3 more jobs at Kayrros