Engineering · Full-time · Piedmont, Italy
About Us:
UpEnergy delivers high-impact, emission reducing projects that accelerate decarbonization and create long term benefits in local communities. We do so by making life-improving clean technologies available to local communities and environments across Africa. Whether it’s protecting the local environment, delivering health benefits, or reducing poverty through financial savings and employment, our projects sustainably benefit and enable people to live better lives within climate resilient communities.
To date, UpEnergy has delivered over 95 emission reduction projects, impacted over 4 million lives, and reduced over 4 million tons of CO2 Emissions across 7 countries. UpEnergy prides itself on deep local knowledge and established teams on the ground to ensure the highest impact and results. The UpEnergy team continues to grow, across multiple countries and continents, and seeks diligent, entrepreneurial, fun, and motivated talent who are excited to join us in delivering even more impact. Learn more here: www.upenergygroup.com
About the role:
UpEnergy seeks a Data Science Fellow or Associate familiar with behavioural science and impact evaluation to enhance our ability to design and execute tests of products, distribution methods, and communications to improve interactions and outcomes for the users of our products. UpEnergy runs both large scale distribution, and tests and pilots across 7 African markets and will expand to new markets and products in the coming years. In order for UpEnergy to generate the maximum possible impact, we constantly seek new methods to increase adoption and usage of our products. The Data Science Fellow or Data Science Associate will also partner with reseachers to facilitate the implementation of Randomized Controlled Trials (RCTs) on UpEnergy interventions. As Data Science Fellow or Data Science Associate, you will have the exciting opportunity to design and execute tests and trials to continuously improve the efficacy of interventions and products we deploy in households and schools across Africa and soon on other continents. The ideal candidate will possess a deep understanding of continuous testing and optimization methodologies including A-B testing frameworks to deliver actionably, statistically significant insights. You’ll be using data science to tackle one of the world’s most pressing challenges – alleviating energy poverty and ensuring that a climate transition helps those most affected by climate change.
Why Join Us?
Not your average 9-to-5
UpEnergy encourages teamwork, creativity, and we’re not afraid to get our hands dirty. We stay close to our market, understand our customers, and have a lot of fun while doing our work! If you’re looking for a conventional 9-to-5, you’d be missing out on our adventures!
Opportunity to do things in a new way
As one of the largest compliance credit issuer in Africa, we need to be constantly improving and rethinking our way of work. This means endless opportunities for a self-starter to initiate new ways of doing things or experimenting ways to help us improve.
Personal and Career Growth
Wouldn’t it be a pity to spend so much time working but not growing and learning? At UpEnergy we value both personal and professional growth, and we want to grow as a team. From classroom training to coffee chats to performance review, we want to support every team member to grow into the best version they can.
Create Lasting Impact
Our clean energy products bring positive impact to both our planet earth and for the low-income communities we work in. We don’t just focus on sales – we follow up and truly understand our customers to make sure that they continue to benefit from our products. Your work will create much longer-lasting impact than what you can see!
Key Responsibilities:
Does this sound like you?
Start date & Location
Kampala, Uganda. UpEnergy can accommodate the right candidate being based in one of our other African markets or major hubs across the continent. We seek the right candidate who can begin as soon as possible, but we are flexible.
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