Based in Kawasaki, Japan, Mitsubishi Fuso Truck and Bus Corporation (MFTBC) is one of Asia's leading commercial vehicle manufacturers, with 89.29% of its shares owned by Daimler Truck AG and10.71% by various Mitsubishi group companies. An icon in the Japanese commercial vehicle industry with a longstanding history of more than 85 years with its Fuso brand, MFTBC manufactures a range of commercial vehicles including light, medium, and heavy-duty trucks and buses, and industrial engines for over 170 markets worldwide. In 2017, MFTBC introduced the eCanter, the first all-electric light-duty truck in series-production and in 2019, the Super Great – Japan’s first heavy-duty truck fitted with Level 2 Automated Driving Support Technology, a benchmark in the Japanese commercial vehicle market. MFTBC operates under the umbrella of Daimler Trucks Asia, together with its partner organization Daimler India Commercial Vehicles (DICV) in India. This strategic unit allows the entities to collaborate on areas such as product development, parts sourcing and production to provide the best value to customers.

By Combining Japanese tradition and the global power of Daimler, Mitsubishi Fuso provides unparalleled experience in a world leading company. This means that you will associate with global business partners every single day.

Moreover, we have a Mobile work policy that gives employees permission to work from home or anywhere within Japan that enables employee to work effectively and comfortably.

Introduction of IT

We at ITC/A (Information Technology Commercial Vehicles Asia) take care of digitally enabling our business partners and ensuring business continuity be developing and maintaining new IT systems.
Be it our Production systems that keep our production and operations running, our Finance systems that run our accounting and controlling processes or our Sales systems that capture customer and sales data – we at IT manage all of those.
We work closely with the business partners to accelerate digital transformation by optimizing existing systems and speeding up processes #TwiceAsFast.
We do this by defining new approaches to business models that generate deeper insights and provide predictive solutions for the business.

Job Description
1. Utilize large datasets to find opportunities for process optimization
2. Build and implement models using a variety data mining/data analysis tools
3. Drive analytics use cases within the business
4. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
5. Develop Machine Learning based analytics solutions
Key Tasks
1. Process Optimization Using Data Analysis
Identify valuable data sources and automate the collection process.
Undertake preprocessing of structured and unstructured data from a variety of systems, interfaces, et. al.
Analyze large amounts of information to discover trends/patterns.
2. Building and Implementing Models from Data
Build predictive models and machine learning algorhythms
Combine various models through ensemble modeling
3. Present Data and Solutions to Business and Stakeholders
Summarize and present key findings and solutions using various data visualization techniques such that the data is easy to grasp to non experts. Propose solutions and strategies based on collected data and addressing specific business challenges. Collaborate with the IT Engineering and Product Development team as well as the business
4. Problem Solving
Recognize when existing requirements are not precise enough to arrive at a usable and implementable solution
Communicate with requirement owners to indicate possible technical feasibility issues.