---
title: Senior AI / Data Consultant at Elinext
description: Senior AI / Data Consultant (Industrial AI / Supply Chain Optimization)
**Location:** Vienna, Austria / Remote EU
**Employment Type:** Freelance / B2B Contract
**Industry:** Manufacturing / Industrial
---

# Senior AI / Data Consultant

**Company:** Elinext  
**Location:** Vienna, Austria / Remote EU  
**Posted:** 2026-11-12  
**Apply by:** 2026-12-27

**Tags:** data engineer, data

[Apply / View original posting](https://t.me/Pol_relocation/59396)

## Job description

Senior AI / Data Consultant (Industrial AI / Supply Chain Optimization)
**Location:** Vienna, Austria / Remote EU
**Employment Type:** Freelance / B2B Contract
**Industry:** Manufacturing / Industrial AI / Supply Chain

About Elinext
Elinext is an international software development company with 25+ years of experience delivering custom software solutions and dedicated engineering teams for clients worldwide.

About the Project
We are looking for an experienced **Senior AI / Data Consultant** to join an innovative industrial AI project focused on inventory management and supply chain optimization.
The project aims to leverage **Artificial Intelligence, Machine Learning, and advanced data analytics** to improve inventory planning, procurement processes, shipping operations, and spare parts availability.
You will work with large, complex, and heterogeneous industrial datasets, integrating information from multiple internal and external sources to identify optimization opportunities and develop data-driven solutions.
This is a hands-on consulting role combining **AI/ML expertise, data engineering, industrial domain knowledge, and business consulting**. You will independently assess existing data, design an industrial AI use case, and deliver a working Proof of Concept (PoC) based on real-world data.
The ideal candidate can translate complex technical findings into practical recommendations that support business decisions and operational improvements.

Responsibilities
— Independently analyze and assess existing inventory, procurement, and supply chain data.
— Identify, evaluate, and integrate relevant internal and external data sources for the AI use case.
— Design and specify an industrial AI solution focused on inventory and supply chain optimization.
— Develop and deliver an AI prototype / Proof of Concept (PoC) using real-world industrial data.
— Design and implement approaches for processing, integrating, and analyzing large, heterogeneous datasets.
— Apply AI, Machine Learning, and advanced analytics to identify opportunities for operational improvements.
— Develop data-driven optimization approaches for inventory levels, safety stock, procurement, shipping, and spare parts availability.
— Evaluate the feasibility and business value of proposed AI solutions.
— Present analytical findings, optimization strategies, and actionable recommendations to management and business stakeholders.
— Document the developed solution, technical methodology, key findings, and recommendations.

Requirements
— Strong professional experience in **Artificial Intelligence, Machine Learning, and Data Science**.
— Proven hands-on experience developing **AI/ML Proofs of Concept (PoCs) and prototypes** using real-world data.
— Solid understanding of large, complex, and heterogeneous industrial datasets.
— Experience integrating, processing, and analyzing data from multiple internal and external sources.
— Strong knowledge of data analysis, data integration, and AI-driven optimization approaches.
— Good understanding of industrial processes, manufacturing environments, and related data structures.
— Knowledge of **inventory management and supply chain optimization**, including inventory planning, safety stock, procurement, and logistics processes.
— Proven experience working with **industrial or manufacturing companies**.
— Ability to independently analyze business challenges and translate them into practical AI/ML solutions.
— Strong consulting and stakeholder management skills.
— Ability to communicate complex technical findings clearly to both technical and non-technical audiences.
— Strong analytical thinking, problem-solving skills, and an independent, results-oriented approach.

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