Senior Data Scientist

Function

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.

Job description

We are seeking a Senior Data Scientist to develop scientifically rigorous mathematical and statistical methodologies that transform automotive sensor and test data into actionable engineering insights. The role focuses on signal analysis, anomaly detection, trend identification, correlation analysis, and the creation of reliable engineering metrics to support data-driven vehicle development and testing.

Key Responsibilities

• Analyze multivariate vehicle sensor, telemetry, and test datasets.
• Develop mathematical and statistical models for signal processing, anomaly detection, and trend analysis.
• Design algorithms for feature extraction, aggregation, correlation, and time-series analytics.
• Define methodologies for comparing test runs, vehicle configurations, and operating conditions.
• Perform time-domain and frequency-domain analysis, including spectral analysis where applicable.
• Develop derived engineering metrics, thresholds, normalization methods, and performance indicators.
• Validate analytical models against reference datasets and engineering expectations.
• Collaborate with Data Engineers to operationalize analytical calculations and pipelines.
• Document methodologies, assumptions, validation results, and scientific limitations.
• Deliver interpretable analytical outputs that support downstream AI and data-driven decision-making.

Required Skills

• Advanced Python programming with strong expertise in NumPy, Pandas, SciPy, and scientific computing.
• Strong background in applied mathematics, statistics, and numerical analysis.
• Experience with Digital Signal Processing (DSP), filtering techniques, FFT, spectral analysis, and time-series analytics.
• Expertise in multivariate analysis, anomaly detection, and outlier identification.
• Experience working with high-frequency sensor or measurement data.
• Ability to translate complex mathematical findings into actionable insights for engineering stakeholders.
• Strong experience validating and documenting analytical methodologies.

Preferred Skills

• Experience in automotive testing, vehicle dynamics, NVH (Noise, Vibration & Harshness), or durability engineering.
• Knowledge of CAN-based vehicle telemetry and sensor analysis.
• Experience with MATLAB/Simulink.
• Familiarity with automotive test cycles, validation processes, and measurement standards.
• Understanding of Machine Learning concepts, although ML model development is not the primary focus.

Qualifications

• Master's degree in Data Science, Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or a related field.
• PhD is highly preferred and considered a significant advantage.
• 5+ years of experience in Data Science, Scientific Computing, Applied Analytics, or a related quantitative discipline.
• Proven experience converting complex engineering or sensor data into meaningful analytical insights.
• Good English communication and working with UK Time is a big plus.

Nice to Have

• Automotive, mobility, or industrial IoT domain experience.
• Experience working with large-scale telemetry or time-series data platforms.
• Exposure to AI-ready analytical architectures and explainable analytics solutions.(empty)

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.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

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.

About Us

Hitachi brings together the world’s greatest minds to help breathe life into new possibilities – and drive innovation for a better future. That’s why we look for individuals who share our pioneering spirit, have imaginative ideas and are fearless when it comes to tackling the world’s biggest challenges.