We’re Hitachi Digital, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

The team
As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.

The role
With your expertise in data analysis, statistical modeling, and machine learning and your passion for solving complex problems and generating actionable insights you will be able to contribute to the success of our projects.

• Responsible for collecting, analyzing and interpreting data (data mining or extraction) from multiple data sources: processing, cleaning and validation
• Solving business problems using data analysis/mining and machine learning techniques.
• Carrying out preprocessing of structured and unstructured data and detecting trends, patterns in data sets and improving data models with advanced analytics and deep learning capability
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Developing prediction systems and machine learning algorithms

What you’ll bring

• Proficiency in AI, machine learning, and HPC (High Performance Computing) technologies and tools
• Programming languages such as Python, JavaScript, TensorFlow, PyTorch, Scikit-Learn, Qlikview, R Shiny
• Experience with Nvidia AI tools and technologies, such as CUDA or TensorRT
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib)
• Strong communication skills, with the ability to present complex information in a clear and concise manner.
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) is a plus.
• The ability to collaborate with Business and IT teams, providing a key point of contact for stakeholders

About us 

We’re a global team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. 

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Championing diversity, equity, and inclusion

Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.