Data Scientist Intern

Zhang

Chen

chen.zhang@elihome.com

Firma Bilgileri/Company Info

Elihome LLc

Adana

İlan Bilgileri/Job Announcement Info

Elihome LLc

Data Scientist Intern

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1

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Data Scientist Intern
Elihome LLC, Milan, Italy. Remote. Three months, autumn 2026.
About the company and the project
The Elihome Group is a global group of companies and a leader in the kitchen and home innovation industry, with over 30 years of experience driving excellence and innovation. Headquartered in the United States, with key offices in Italy and China, Elihome has built global partnerships with industry-leading appliance manufacturers and leading international brands, and built an extensive retail distribution worldwide.
This autumn we are running a structured assessment over twelve weeks to find out where AI can create real, measurable value in our operations, and to choose one application worth investing in. The output is three ranked opportunities and a fully costed proof of concept plan for the top one.
This is not a build project and nobody is training a model. The work is research, evidence and judgement. What does a process cost us today, what can the supplier market realistically deliver, and where do those two meet in a way that pays for itself.
The role
You own the evidence. Your job is to work out what data the company actually holds, how good it is, and whether a proposed AI application is backed by real numbers or by wishful thinking. When the data is too thin to support a claim, you are the person who says so.
What you will do
• Carry your share of the general research load. In the first phase everyone on the team gathers data, which means desk research on the market, structured interviews with people inside and outside the company, and supplier conversations. The specialist split below is where you carry the most weight, not where your work stops.
• Audit internal data across sales, product, supplier and customer service records, and judge whether it is ready to support each proposed application.
• Test business ideas directly against the data to see whether a concept holds up or falls apart under scrutiny.
• Quantify the upside where the numbers allow it, and state plainly where they do not.
• Turn technical results into clear, defensible takeaways with honest uncertainty attached, written for people who do not work with data.
• Present your findings at the three project gates and explain what the numbers can and cannot prove.
What we are looking for
• Current Bachelor or Master student in Data Science, Statistics, Computer Science, Mathematics or a related field.
• Confident with Python (pandas, NumPy, scikit-learn) and able to write clean SQL.
• Solid grounding in applied statistics, especially knowing when a result is not significant.
• Experience with messy data from real operations rather than only clean textbook datasets.
• Able to explain a technical finding to someone with no statistical background without losing the caveats.
• Comfortable interviewing people to find out how a process really works and where its data comes from.
• Fluent written and spoken English.
• Your university can support a remote internship placement.
Nice to have
• Prior exposure to ecommerce, retail or supply chain data.
• Familiarity with demand analysis or forecasting over time.
• Experience with data visualisation tools such as Matplotlib, Seaborn, Tableau or Power BI.
• Any experience with data that arrived in a bad state and had to be cleaned before it was usable.
What you get out of it
• Direct exposure to how a company actually decides where to spend money, not a side project parked away from the real work.
• Real practice running structured interviews with people outside the company, from suppliers and vendors to teams doing similar work elsewhere, and learning how to get a straight answer out of a sales conversation.
• Deliverables with your name on them that you can point to afterwards, plus a written reference and confirmation of hours for your university.
• A team that wants your honest read on an idea, including when your honest read is that it will not work. Telling us that is exactly as valuable as finding the idea that does.
Practical details
Format: Fully remote. The company is based in Milan, Italy.
Duration: Three months, roughly 20 or 40 hours per week, flexible around your timetable.
Start: Flexible, from September 2026, agreed with your university.
Compensation: Depends on your experience and background, discussed individually. We can support this as an unpaid mandatory internship if that is what your university require.

Language: All work and communication in English.
Reports to: Sina Pourbahari, Project Lead, Elihome LLC.