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Data Scientist (unpaid, must already be Europe based)

GreenCarLane



GreenCarLane Remote Internship

Salary Unpaid

We're looking for an experienced (yes we know, it's an unpaid internship), motivated, driven and proactive team member to join us. From data collection, data cleaning, ETL, data flow, to recommendation engine - you can experience a broad spectre of data science.

Our core focus will be data collection, designing and developing with the team a robust system to collect data, of charging stations and home charging products. You should be experienced with JavaScript and Python.

We expect the internship to be for 6 months and work hours per week around 20.

Join an international SaaS startup with global expansion and growth ambitions, helping to reduce carbon emissions in transportation.
We are a growing, diverse, and international team focused on doing our part in reducing the exacerbation of carbon dioxide emissions from passenger cars. We do this by nudging consumers to buy electric vehicles (EV) and we collaborate with businesses as well as municipalities to support consumers in entering the market for EVs.

The team is developing a digital marketplace where consumers can learn about EVs and get help throughout their purchase journey to acquire a car. Another way to help and guide our stakeholders is through content.

The platform has 3 target audiences - consumer, corporate, government.

We are passionate and working hard to strengthen the development of the platform and are proud of the outcome so far.

We're looking for an intern to further progress the endeavor.
We have a good data science/data management team and need to add an additional capable data science team member.

We provide a B2C and B2B marketplace platform (SaaS) in the automobile industry, focusing on hybrid- and electric cars. We also partner with B2G for charging infrastructure. You don't have to be knowledgeable in the automotive industry but good at the research part, creative/visionary, an avid learner and curious for answers and solutions.

No need to be experienced or knowledgeable in the automotive sector, you need to be excellent at connecting some dots, proficient in data science and a wizard with data as well as experienced with JavaScript and Python.

We are looking for the right candidate to help us further progress with data science - we need data science for our continuous platform development.

What we use: Python, JS, Pandas, Numpy, Scikit-learn, Flask to create ML services, MLOps

Expectations

  • Data Collection and Data Management
  • Coding, using JavaScript and Python
  • Develop and Expand our database with latest charging station and home charger data
  • Data exploration, study, development and validation of classic ML models
  • Data collection using LLMs/NLP
  • Participation in the product development based on available data
  • Critical thinker
  • Observant, curious
  • Able to challenge the team
  • Active listening skills
  • Good interpersonal skills, including the ability to collaborate with different teams and team members

When joining you are empowered to learn, lead, and perform at your best, shaping the future of our company. We have a team and looking to add an additional member.

This is a place where you're welcomed as your own perfectly unique self and celebrated for the skills, talent, curiousness, problem-solving, perspective, solution, and honest opinion you bring to the table.

If you are an introvert or someone who doesn't handle large groups that easily, there is room for you here. We believe that diverse, inclusive teams drive innovation, performance, and excellence.

We provide equal opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age.

Perks and benefits
This job comes with several perks and benefits

Remote work allowed
Flexible working hours

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GreenCarLane

We aim to increase Low Emission Vehicles from 2% to 50% worldwide by 2040. We believe that by guiding consumers towards the right electric vehicle and charging infrastructure, we can help reduce the overwhelm and anxiety of the search and buying experience while contributing to a healthier and more robust planet.

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https://studerendeonline.dk/job/2718005//
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