Location:Singapore, Central Singapore, SingaporeJob ID: R1013045Date Posted:2026-07-07Company Name:Hitachi Rail Singapore Pte. Ltd.,Profession (Job Category):Engineering &amp; ScienceJob Schedule: Full timeRemote:NoAbout UsA career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.Job Description:<div>As Hitachi Rail Singapore, we are advancing rail signalling and safety solutions to ensure safe and efficient railway operations worldwide.Our technologies help to bring billions of people reliably to their destinations by rail every year – making sustainable mobility a reality.Senior Data Scientist (Ref.No. R1013045)at our location in SingaporeHitachi Rail is looking for an enthusiastic self-motivated skilled Senior Data Scientist with proven experience in data science and software development with strong leadership capabilities. This role combines advanced technical expertise with the ability to manage and supervise junior engineer for ensuring quality, compliance, and timely delivery, and also growth of the team. The ideal candidate shall be confident collaborating with cross-functional teams to implement robust and scalable solutions that drive our HMAX development initiatives.The position is based in Singapore.You will enjoy having these responsibilities:<ul><li>Responsible for defining the data science and advanced analytics requirements and use cases, creating data exploitation models, recommending tool selection and working closely with HMAX solution core team to create insight and value from data</li><li>Responsible for planning, executing and delivering advanced data analytics and scenario modelling,</li><li>Leading the activities for use case capture, building models, problem analysis, data exploration and data collection and integration,</li><li>Researching existing product and machine learning/deep learning model, proposing improvement and industrializing the product, </li><li>Participating in model demonstration and validation with end customer, providing analysis and evidence of the model performance to demonstrate that the model is fit for production and operation,</li><li>Working with the product leader, domain expert and the software development team to ensure the success of the delivery.</li></ul>You have:<ul><li>Bachelor, Master Degree or PhD in Data Science or related field,</li><li>Minimum 5 years of experience working in artificial intelligence algorithms and a proven record of accomplishment in the implementation of Machine Learning and Deep learning solution based,</li></ul><ul><li>Core Data Science &amp; Machine Learning Skills<ul><li>Strong foundation in statistics, machine learning, and data analysis.</li><li>Experience building and deploying predictive models, including classification, regression, clustering, and anomaly detection.</li><li>Familiarity with time-series analysis and forecasting techniques (ARIMA, Prophet, LSTM, temporal CNNs)</li><li>Hands-on experience developing predictive maintenance models is an advantage, including:<ul><li>Remaining Useful Life (RUL) prediction</li><li>Failure prediction and classification</li><li>Anomaly detection (e.g., isolation forest, autoencoders)</li></ul></li><li>Experience with model evaluation, validation, and performance monitoring in production environments.</li></ul></li></ul><ul><li>Domain Knowledge – Asset &amp; Maintenance Analytics<ul><li>Good understanding of industrial asset management concepts, including:<ul><li>Reliability engineering (MTBF, MTTR, failure modes)</li><li>Preventive, predictive, and condition-based maintenance strategies is advantage.</li></ul></li></ul></li></ul><ul><li>Familiarity with sensor data (IoT / telemetry) such as vibration, temperature, pressure is advantage</li><li>Experience working with industrial standards and frameworks (e.g., ISO 55000, reliability-centered maintenance) is a plus.</li><li>Ability to translate business/engineering problems into data science solutions.</li></ul><ul><li>Data Engineering, MLOps <ul><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). </li><li>Experience handling large-scale time-series and streaming data. </li><li>Experience working in cloud environments</li><li>Understanding of MLOps practices</li><li>Experience deploying models as APIs or microservices.</li></ul></li><li>Proficiency in Italian would be an advantage for communication with Italian-speaking stakeholders.</li></ul>Our Talent Acquisition Team is looking forward to hearing from youWe look forward to receiving your application in just a few clicks via our career portal.For further information about Hitachi Rail as an employer visit us on <a href="http://www.hitachirail.com/careers">www.hitachirail.com/careers</a>About usOur motivation is the mobility turnaround. To achieve this, our teams find innovative products and solutions that ensure the operation and reliability of the entire rail network and increase capacities on the rails.Our projects are diverse. To make our teams even stronger, we are looking for your support. In return, we offer you an attractive overall package with the following benefits:<ul><li>Stronger together: Networking through internal networks and working in international teams</li><li>Our drive: Together, we are laying the foundations for the digitization of the rail around the world, to get people safely to their destinations and to their loved ones!</li><li>Attractive conditions: A secure and permanent job with a global company</li></ul>NotesEqual opportunities and self-determined participation of severely disabled persons and persons of equal status as well as respectful cooperation are firmly anchored principles within Hitachi Rail and its subsidiaries. We also aim to offer all our equal opportunities to start a career and to receive training and further education in our company. We consciously promote diversity and togetherness in our teams.</div>Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at  <a href="https://www.hitachirail.com/careers">https://www.hitachirail.com/careers</a>.At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.We would be delighted if you would be one of our followers at <a href="https://www.linkedin.com/company/hitachirail">https://www.linkedin.com/company/hitachirail</a>

Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We are advancing the world&rsquo;s energy system to become more sustainable, flexible and secure whilst balancing social, environmental and economic value. Hitachi Energy has a proven track record and unparalleled installed base in more than 140 countries.

Senior Data Scientist

Location:Singapore, Central Singapore, SingaporeJob ID: R1013045Date Posted:2026-07-07Company Name:Hitachi Rail Singapore Pte. Ltd.,Profession (Job Category):Engineering &amp; ScienceJob Schedule: Full timeRemote:NoAbout UsA career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.Job Description:<div>As Hitachi Rail Singapore, we are advancing rail signalling and safety solutions to ensure safe and efficient railway operations worldwide.Our technologies help to bring billions of people reliably to their destinations by rail every year – making sustainable mobility a reality.Senior Data Scientist (Ref.No. R1013045)at our location in SingaporeHitachi Rail is looking for an enthusiastic self-motivated skilled Senior Data Scientist with proven experience in data science and software development with strong leadership capabilities. This role combines advanced technical expertise with the ability to manage and supervise junior engineer for ensuring quality, compliance, and timely delivery, and also growth of the team. The ideal candidate shall be confident collaborating with cross-functional teams to implement robust and scalable solutions that drive our HMAX development initiatives.The position is based in Singapore.You will enjoy having these responsibilities:<ul><li>Responsible for defining the data science and advanced analytics requirements and use cases, creating data exploitation models, recommending tool selection and working closely with HMAX solution core team to create insight and value from data</li><li>Responsible for planning, executing and delivering advanced data analytics and scenario modelling,</li><li>Leading the activities for use case capture, building models, problem analysis, data exploration and data collection and integration,</li><li>Researching existing product and machine learning/deep learning model, proposing improvement and industrializing the product, </li><li>Participating in model demonstration and validation with end customer, providing analysis and evidence of the model performance to demonstrate that the model is fit for production and operation,</li><li>Working with the product leader, domain expert and the software development team to ensure the success of the delivery.</li></ul>You have:<ul><li>Bachelor, Master Degree or PhD in Data Science or related field,</li><li>Minimum 5 years of experience working in artificial intelligence algorithms and a proven record of accomplishment in the implementation of Machine Learning and Deep learning solution based,</li></ul><ul><li>Core Data Science &amp; Machine Learning Skills<ul><li>Strong foundation in statistics, machine learning, and data analysis.</li><li>Experience building and deploying predictive models, including classification, regression, clustering, and anomaly detection.</li><li>Familiarity with time-series analysis and forecasting techniques (ARIMA, Prophet, LSTM, temporal CNNs)</li><li>Hands-on experience developing predictive maintenance models is an advantage, including:<ul><li>Remaining Useful Life (RUL) prediction</li><li>Failure prediction and classification</li><li>Anomaly detection (e.g., isolation forest, autoencoders)</li></ul></li><li>Experience with model evaluation, validation, and performance monitoring in production environments.</li></ul></li></ul><ul><li>Domain Knowledge – Asset &amp; Maintenance Analytics<ul><li>Good understanding of industrial asset management concepts, including:<ul><li>Reliability engineering (MTBF, MTTR, failure modes)</li><li>Preventive, predictive, and condition-based maintenance strategies is advantage.</li></ul></li></ul></li></ul><ul><li>Familiarity with sensor data (IoT / telemetry) such as vibration, temperature, pressure is advantage</li><li>Experience working with industrial standards and frameworks (e.g., ISO 55000, reliability-centered maintenance) is a plus.</li><li>Ability to translate business/engineering problems into data science solutions.</li></ul><ul><li>Data Engineering, MLOps <ul><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). </li><li>Experience handling large-scale time-series and streaming data. </li><li>Experience working in cloud environments</li><li>Understanding of MLOps practices</li><li>Experience deploying models as APIs or microservices.</li></ul></li><li>Proficiency in Italian would be an advantage for communication with Italian-speaking stakeholders.</li></ul>Our Talent Acquisition Team is looking forward to hearing from youWe look forward to receiving your application in just a few clicks via our career portal.For further information about Hitachi Rail as an employer visit us on <a href="http://www.hitachirail.com/careers">www.hitachirail.com/careers</a>About usOur motivation is the mobility turnaround. To achieve this, our teams find innovative products and solutions that ensure the operation and reliability of the entire rail network and increase capacities on the rails.Our projects are diverse. To make our teams even stronger, we are looking for your support. In return, we offer you an attractive overall package with the following benefits:<ul><li>Stronger together: Networking through internal networks and working in international teams</li><li>Our drive: Together, we are laying the foundations for the digitization of the rail around the world, to get people safely to their destinations and to their loved ones!</li><li>Attractive conditions: A secure and permanent job with a global company</li></ul>NotesEqual opportunities and self-determined participation of severely disabled persons and persons of equal status as well as respectful cooperation are firmly anchored principles within Hitachi Rail and its subsidiaries. We also aim to offer all our equal opportunities to start a career and to receive training and further education in our company. We consciously promote diversity and togetherness in our teams.</div>Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at  <a href="https://www.hitachirail.com/careers">https://www.hitachirail.com/careers</a>.At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.We would be delighted if you would be one of our followers at <a href="https://www.linkedin.com/company/hitachirail">https://www.linkedin.com/company/hitachirail</a>

Senior Data Scientist

About the Job

About the Company

HITACHI ENERGY

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