Strategy Consultant & Data Scientist (Entry-Level)
EMERTON GROUP Paris, Ile-de-France, France
Business Consulting and Services · 51-200 employees
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About the role
You will contribute to strategy and data science projects by structuring problems, conducting market analysis, and developing machine learning models. Additionally, you will be responsible for creating data products, visualizations, and communicating insights to solve complex client challenges.
What they look for
Requirements
Candidates must hold an MSc in Engineering, Computer Science, Machine Learning, or a related quantitative field. Proficiency in Python and SQL is required, along with strong problem-solving skills and fluency in both English and French.
Benefits
Full description
Emerton Data is the entity of Emerton Group dedicated to digital and advanced data analytics activities, led by experienced partners in both data science & AI and management consulting. We support companies in their sustainable Digital, Data & AI transition.
Emerton Data provides above standards Data and AI services, and helps companies use data to drive decisions, create impact, and transform businesses. We empower organizations to become more data-driven by providing first class skills, advisory solutions and make-it-happen support.
Emerton Data offers both the environment of a fast-changing tech culture, together with the challenging and international work environment of Emerton, a high-standard Strategy Consulting firm, with offices in Paris, Munich, New-York Montréal and Hong Kong.
Emerton is listed best #11 consulting firms to work for in Europe by Vault ranking (2026).
Our clients are mainly large international corporations in the energy, consumer good, food services, industry, TMT, and insurance sectors.
In the context of our fast-paced development we are looking for talented young professionals to join our team in Paris.
YOUR ROLE This position offers a double track as Strategy Associate Consultant and Data Scientist (entry level).
You will have the opportunity to contribute to a variety of projects:
- Strategy projects (e.g., strategic due diligence, market opportunity, full potential strategic plan, etc.) that can be linked to data & AI topics or not
- Data & AI strategy projects (e.g., data roadmap connected to business strategy, Responsible AI governance)
- Data use case delivery projects (industrialized products), that often include the following: data science modeling, machine learning and advanced data processing and visualizations
- Advanced data analytics projects (e.g. in-depth analysis of complex data such as order book data on energy markets)
After an onboarding period and under the guidance of partners and experienced managers, you will join a project team and contribute to solving the client's toughest problems.
Your tasks will encompass the following:
- Structure, analyze and solve problems
- Conduct interviews, market analysis
- Analyze facts and translate them into meaningful insights and recos
- Identify, scope, and prioritize use cases
- Collect and process data, using scraping technologies
- Prepare data, both structured and non-structured
- Find the adequate model to solve the problem
- Implement machine learning algorithms and relevant optimizations
- Find insights and communicate
- Program code at best standards to ensure proper industrialization
- Create meaningful and useful data products and visualizations
WHAT WE OFFER
Permanent position (CDI)
An international, diverse and inclusive company culture
Very competitive package, scaling upon seniority, and including profit sharing
Thorough complementary Healthcare insurance (Mutuelle) covered in full (100%) by Emerton Data
Tickets Restaurant, both when working remote and in the office
Reimbursement of 50% of daily travel pass
- MSc in the field of General Engineering, Computer Science, Machine Learning, Applied Statistics, Mathematics
- Programming experience in Python, SQL
- Experience in finding data science solutions to business problems
- Sharp problem-solving capabilities, strong business acumen
- Experience in statistical modeling and machine learning techniques
- Knowledge of the data techno ecosystem is a plus: NoSQL, Container technologies (Docker), cloud (AWS, Google Cloud Platform, Azure), Gitlab.
- Excellent oral and written communication skills; in particular, flawless command of oral and written English and French
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