Data Scientist Energy and Utilities

Deloitte
Zaventem, Belgium
17 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
Dutch, English, French
Experience level
Intermediate

Job location

Zaventem, Belgium

Tech stack

Airflow
Amazon Web Services (AWS)
Data analysis
Automation of Tests
Big Data
Information Engineering
Data Visualization
Github
Python
Machine Learning
Software Engineering
Feature Engineering
Spark
Reliability of Systems
Gitlab
GIT
Information Technology
Data Analytics

Job description

  • 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., Our Risk, Regulatory & Forensic practice is a global leader in helping clients manage risk and uncertainty from the boardroom to the network. We provide a broad array of services that allow our clients around the world to better measure, manage and control risk to enhance the reliability of systems and processes throughout their organization., * Flexible work arrangements for all and initiatives supported by Parents & Caregivers @Deloitte
  • Wellbeing tips and activities powered by Energise@Deloitte
  • Topped off with other health benefits and insurance opportunities

Empowering our employees with flexible work arrangements remains essential in today's reality:

  • Hybrid workplace: combination of home office and on-site (+10 offices in Belgium or client's premises).
  • Part-time employment: all our jobs are open to full-time or part-time work under a 90% or 80% regime.

Requirements

Do you have experience in Software development?, * Master's degree in computer science, mathematics, physics, or other technical subjects.

  • At least 2 years of experience in data science or software development.
  • Skilled in advanced data analytics, identifying technology-purpose fit, and leading implementation projects.
  • Clear communicator of complex quantitative analysis to various stakeholders.
  • Proficient in data science, modelling/scripting, big data technologies (e.g., Python, (Py)SPARK, R); Scala and AWS technologies are a plus.
  • Experienced in data visualization, data engineering, test automation, scheduling technologies (e.g., Airflow), and GIT (e.g., Gitlab/GitHub).
  • Fluent in Dutch and English (French is a plus), proactive, responsible, team player, independent worker, analytical, and eager to learn.

About the company

Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.

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