Job description

Description et exigences

Enel X Global Retail is looking for a Data Scientist to join our dynamic Customer Intelligence team. In this role, you will be crucial in creating Advanced Analytics, predictive models, and providing actionable insights to drive business growth and optimize our marketing and sales strategies.

The ideal candidate will have strong quantitative as well as programming skills and should be passionate about the creation and development of machine learning models for marketing optimization. It is essential that he/she can work collaboratively in an international team environment, with a strong commitment and innovative mindset.

What You Will Do

  • Analyze and interpret customer data to identify trends, behaviors, and market opportunities;
  • Develop statistical and machine learning models to enhance global retail activities, such as predicting churn and identifying potential up-selling and cross-selling opportunities.
  • Solve hard, non-routine analysis problems, applying advanced analytical, statistical, mathematical methods as needed
  • Be autonomous in end-to-end development of a Data Product (data gathering and requirements specification, data preprocessing, analysis, modelling, presentations, code industrialization)
  • Actively collaborate with various stakeholders to translate complex insights into concrete recommendations for the retail teams and ensure alignment of business strategies.
  • Monitor marketing campaign performance and provide recommendations to optimize their effectiveness.
  • Improve, maintain and leverage an existing data model to support business analyses and strategic decisions.
  • Promote a culture of continuous learning and innovation within the team.
  • Maintain updated knowledge on the latest trends and technologies in the field of data science.

Who You Are

  • Advanced degree (Ph.D preferred) in a quantitative field such as Maths, Physics, Computer Science or Data Science.
  • 4+ years of working experience as a Data Scientist/ML Engineer solving marketing problems
  • Strong data science and statistics skills with a good understanding of probability theory, A/B testing and time-series analysis,
  • Strong knowledge of machine learning algorithms. Experience with the full machine learning lifecycle
  • Proficient in Python (advanced to expert level)
  • Sound experience in querying SQL/NoSQL databases
  • Outstanding analytical and problem-solving skills
  • Advanced experience in Excel, BI and Data Visualization tools (Power BI).
  • Experience with Git and DevOps methodologies: the Atlassian suite (bitbucket, confluence, Jira, bamboo) is a strong plus.
  • Experience with microservices architecture (Docker containers and Kubernetes) is a strong plus.
  • Experience with AWS Sagemaker is considered a strong plus.
  • Experience with Analytical Engineering tools such as DBT is considered a strong plus.

What We Search In You

  • Ability to bridge the gap between technical and non-technical stakeholders, ensuring effective and inclusive communication.
  • Effective written and verbal communication skills.
  • Capability to translate complex insights into clear, concise, and actionable recommendations, adapting the message to the target audience.
  • Skill in tackling data quality challenges, analysis issues, and technical difficulties, finding innovative and pragmatic solutions.
  • Curiosity and continuous learning.
  • Ability to critically evaluate data, identify biases and distortions, and ensure reliable and robust insights.
  • Fluent English, speaking and writing; Spanish is a great plus.

What We Offer

  • Permanent contract
  • Personal development and empowerment paths
  • Extensive possibilities for flexible working according to organisational needs
  • Corporate welfare including supplementary health care, wellness programmes, family and parental caring, benefits, conventions and much more

Who We Are

We are a multinational energy company, one of the main leading operators in the global energy and renewables markets. Globally, we are the largest private renewables operator, the largest network operator by number of end users and the largest retail operator by number of customers. We are present in 28 countries around the world and produce energy with a total capacity of over 89 GW. We distribute electricity across a network of over 2 million kilometers to more than 70 million end users.

Innovation, Trust, Proactivity, Flexibility and Respect are the lifeblood of our organization. We are always looking for different perspectives, ideas and points of view. Each person is important to us, independently from their gender, age, nationality, ability or any other form of diversity or specificity. We are a people focused Company and we work to empower all our colleagues through development programs and lifelong learning.

We promote work flexibility recognizing the importance of well-being and work-life balance.

Find out more information on our website: [1] www.enel.com

We are looking for candidates of both sexes (L.903/77 and DLgs n. 98/2006, art 27)

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