Senior Data Scientist Energy and Utilities

il y a 2 semaines

Zaventem, Belgique Deloitte Temps plein

Description of the position

Press space or enter keys to toggle section visibility Can’t wait to make an impact on the world? You’re not alone. Join us in driving progress in the working world and beyond. Your journey with us Work in cross-functional teams to define and develop analytical solution for our clients, across industries. Work on the full end-to-end modelling pipeline, from data gathering, exploration and feature engineering, to machine learning model development and deployment. Translate data analysis results into actionable insights, and present them to project stakeholders. Contribute to the development of our business by taking ownership of your work, transferring lessons learned to the team and proactively looking for opportunities to improve and evolve our offerings and services. You will continuously evolve, developing and providing different types of Risk Analytics services at our clients. You will learn new technologies, discuss them with business stakeholders and implement them at our clients. You will become expert in some areas and diversify in others. You will grow your industry and business specific knowledge in order to increase the impact of our service offering on the business. Your proficiency level will grow in providing exceptional service to our clients, develop our talents and grow the firm and its brand. This by focusing on key areas like: solving problems, developing others and self, building relationships, adapting communication styles, managing change & ambiguity, developing business, managing quality and risk and delivering impactful results. Let’s talk about you Master in a relevant field like computer science, mathematics, physics, or other technical subjects. At least 2 years of relevant experience around data science or software development. Experience in applications of advanced data analytics to solve business problems, ability to identify the best fit between technology and purpose, and leading implementation projects. Ability to communicate complex quantitative analysis and analytic approaches in a clear, precise, and actionable manner, and this to a range of stakeholders, from team members to business leadership. Strong experience with data science, modeling/scripting, and big data technologies (e.g., Python, (Py)SPARK, R); experience in Scala and/or affinity with AWS technologies are a plus. Experience in data visualization, data engineering, and test automation; experience in scheduling technologies (e.g., Airflow) is a plus. Experience with GIT (e.g., Gitlab/GitHub). Comfort manipulating and analyzing complex, high-volume, high-dimensional data from varying sources. You are fluent in Dutch and English; French is a plus. You take responsibility and are pro-active, always being one-step ahead. You are a strong team player and show enthusiasm for supporting the development of others but you can also easily work independently. You have an analytical mindset and are eager to learn.

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