Our company

We’re Hitachi Digital Services, 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 role

As a Senior Data Scientist, you will be responsible for designing and implementing data-driven solutions to solve complex problems and generate actionable insights. You will work with a range of data processing and machine learning techniques to build and optimize predictive models and data pipelines.

• Develop and apply advanced AI/ML and deep learning models to extract insights and make data-driven predictions.
• Design and implement feature engineering techniques to enhance model performance and accuracy.
• Automate data processing workflows and build robust data pipelines to streamline data collection, transformation, and analysis.
• Create, test, and refine machine learning models using industry-standard libraries and tools.
• Work closely with cross-functional teams including data engineers, analysts, and stakeholders to identify opportunities for data-driven improvements.
• Present complex data findings and insights clearly to non-technical stakeholders and contribute to decision-making processes.

What you’ll bring

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• Relevant experience in data science roles (at least 4 years), with a focus on machine learning and data processing.
• Strong proficiency in Python and familiarity with relevant ML libraries and tools.
• Strong understanding of artificial intelligence, machine learning algorithms, and deep learning techniques.
• Experience in feature engineering and its impact on model performance.
• Proficiency in Python programming with practical experience using machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Proven experience in automating data processing tasks and building scalable data pipelines.
• Good English communication skills.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Analytical mindset, problem-solving abilities, and a collaborative approach to teamwork.

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.