Data Scientist

The opportunity

We are looking for a Data Scientist who is motivated to combine different data sets and extract meaningful insights to enhance our application platforms. We are looking for a person with natural curiosity, who can apply machine learning and statistical techniques to a variety of interesting energy management problems. You will be expected to develop and deploy forecasting, pattern recognition and anomaly detection solutions to help our customers utilise their data in their quest for reducing carbon emissions.

You will be involved in the full data science project life cycle, from exploratory analysis, data processing and model training, through to deployment within one of our industry-leading software platforms.

Your work will help shape the future of environmental and energy management technologies.

What is the job about?

In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to develop the tools that allow our customers make better decisions and reduce their environmental impact.

What exactly will you do?

• Predict data patterns and make recommendations.
• Forecast noisy and incomplete time series data.
• Develop data-driven methods for producing actionable information from energy datasets.
• Research and devise innovative statistical models for data analysis.
• Enable smarter business processes and implement analytics for meaningful insights.
• Analyse and interpret data from diverse data sets for trends and patterns.
• Deploy machine learning models in collaboration with software developers and engineers.
• Mentor junior data scientists to grow the data science team.
• Communicate solutions and results to stakeholders and implement improvements as needed.

What we’re looking for

• A Master’s degree in Data Science, Statistics, Mathematics, Artificial Intelligence or related disciplines.
• Passion for environmental sustainability.
• Strong problem-solving skills with an emphasis on product development.
• Experience working with and dealing with data architectures and data mining.
• Proud about data accuracy and produce high quality output.
• Knowledge of statistical techniques including regression, hypothesis testing, correlation tests among others.
• Experience using R, Python, SQL and other languages to extract and manipulate data from different types of data sources.
• Experience analyzing data from 3rd parties including Google Analytics and other campaign management tools.
• Ability to clearly articulate technical issues to laymen and to translate their feedback.
• Appreciation of the importance of effective data visualisation
• Team-player, flexible and able to work in a fast-paced environment.
• Independent with a sense of ownership in work contribution.
• A positive problem-solving attitude.

What’s in it for you?

• Industry-leading compensation package: Negotiable base salary of €40,000 to €50,000 (DoE)
• Learn from industry-leading experts: We have cultivated some of best talent in the industry, allowing you to supercharge your career progression and learn from the best minds out there
• Work-life balance: No late finishes – keep your plans with friends and family
• Career growth: We enjoy promoting from within!
• Unrivalled perks (including but not limited to):
  • 24 days annual leave + public holidays
  • Full month of December off (fully paid)
  • Company parties and retreats abroad
  • Festival and Event tickets (such as Silverstone, Wimbledon, Tomorrowland and Lost & Found!)