# Data Science Consultant Intern

**Company**: Fifty-Five
**Location**: Paris
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Salary**: €1200-€1400 per month
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.workable.com/view/gysZYfVU1nwWjdnGE7pcSm/data-science-consultant-intern-(h%2Ff)-in-paris-at-fifty-five
**Canonical**: https://yubhub.co/jobs/job_ea916227-08d

## Description

## Data Science Consultant Intern

You will join Fifty-Five as a Data Science Consultant Intern, working closely with our team of experts to help clients make data-driven decisions. As a Data Science Consultant Intern, you will be responsible for extracting and analysing data, defining key performance indicators, creating data visualisations and developing data-driven solutions.

### Responsibilities

- Participate in client meetings to understand their needs

- Contribute to the development of projects within a dedicated team

- Extract and analyse relevant data according to client needs

- Define key performance indicators to address specific problems

- Create data visualisations to monitor and analyse performance

- Develop data-driven solutions

### Requirements

- You are a student in a computer science or related field, with a strong background in data science and statistics

- You have a good understanding of SQL and data visualisation tools

- You are able to work independently and as part of a team

- You have excellent communication and problem-solving skills

### Nice to Have

- Previous experience in marketing, data or consulting

- Strong knowledge of web technologies and multimedia

### Benefits

- 250 employees in Paris and over 320 globally

- Multicultural environment with over 20 nationalities represented

- Excellent working conditions and a dynamic work environment

- Opportunities for professional growth and development

- Competitive salary and benefits package

### What's Next?

After completing your internship, you will have the opportunity to join Fifty-Five as a full-time employee, with opportunities for career advancement and professional growth.

## Skills

### Required
- SQL
- data visualisation
- data analysis
- problem-solving
- communication

### Nice to have
- marketing
- data
- consulting
- web technologies
- multimedia