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Data & Analytics Intern at Verisk
Edinburgh, United Kingdom


Job Descrption

Company Description

Who We Are

Wood Mackenzie empowers our customers to overcome the world’s toughest challenges and accelerate the world’s transition to a more sustainable energy future.

For 50 years our global research, analytics, and consultancy business, has provided the quality data, analytics, and insights our customers rely on to inspire their decision-making.

Work alongside some of the most inspiring people in Energy, Natural Resources, and Technology, and influence decisions that could change the world.

Are you ready to transform the way we power our planet?

Learn more here or watch a short video here 

 

 

Job Description

This opportunity is best suited for candidates in their penultimate year of study. 

Our Innovation and Analytics Lab works closely with a variety of other functions and teams throughout Wood Mackenzie. We work on interesting, challenging, and important problems that affect the energy and natural resources industries. Our work covers a variety of topics such as climate, electricity, shipping, oil & gas operations, and macroeconomics. 

About the role:  

This role will allow you the opportunity to explore data, create visualisations, and develop machine learning in a collaborative environment. Our team has consciously developed a supportive and inclusive culture to help you succeed in this role. 

Key responsibilities include: 

  • Develop and / or use various algorithms to build predictive models within a variety of business domains 

  • Collaboratively perform analyses of structured and unstructured data to solve multiple complex business problems using advanced statistical and mathematics techniques 

  • Use knowledge in algorithms and predictive models to investigate problems, detect patterns, and recommend solutions 

  • Use programming & data engineering skills to explore, examine, prepare, and interpret large volumes of data in various forms 

  • Design, prototype, and productize data sets that are used for advanced analytics 

Qualifications

Studying toward a Bachelor’s degree or professional qualification with a quantitative, statistical, and/or Data Science focus  

Applicants must have the legal Right to Work in the country this role is based in. We are unable to sponsor employment visas at this time. 

To be successful in this role, we are looking for 

  • Strong collaboration skills 

  • The ability to creatively problem-solve 

  • An analytical mind and eye for detail 

  • Great written and verbal communication  

  • Willingness to learn about our business from the ground up 

  • Hands-on modelling experience building machine learning models 

  • Exposure to/ knowledge of: 

  • Languages/packages: Python, SQL, pandas, NumPy, scikit-learn, PyTorch / TensorFlow / Keras, Plotly / Matplotlib, Jupyter 

  • Algorithms: Classification, Regression, Clustering, Neural Networks, Time Series, Ensemble Models, Feature Selection & Extraction, Mathematical Optimization, etc. 

  • Version control: Git 

Additional Information

At Wood Mackenzie, you will have opportunities to engage in meaningful work and collaboration with international stakeholders; creating a positive and lasting impact; and find the support, coaching, and training you need to advance your career.

We are committed to supporting our people to Thrive. We value different perspectives and aspire to create an inclusive environment that encourages diversity and fosters a sense of belonging. WoodMackers have regular opportunities to get involved in our Wellness, Diversity and Inclusion, Community Engagement, and Sustainability initiatives such as our partnership with Let’s Share the Sun.

Wood Mackenzie Values

  • Inclusive – we succeed together
  • Trusting – we choose to trust each other
  • Customer committed – we put customers at the heart of our decisions
  • Future Focused – we accelerate change
  • Curious – we turn knowledge into action

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