Make your mark in our exciting world at Siemens.
We are a collection of over 372, 000 minds building the future, one day at a time. Together, we create technologies that take society further.
We’re looking for people with the skills and vision to build a better tomorrow. Join our Digital Industries Process Automation (Vertical Water)Division as Data Scientist and help us re-imagine the world by finding solutions and making the world a smarter place for tomorrow.
Siemens is a leading technology company which prides itself on delivering innovative solutions to our customers. We deliver technology with purpose and digitalisation is one of our key strategic drivers and critical to the future of Siemens and our industry.
Siemens Digital Industries provides scalable and secure Internet of Things solutions that support innovative technologies and new business models across our Portfolio. The value for our customers, and so the area where we focus, is where IT and operational technology (OT) converge.
Our aim is to increase the productivity and environmental sustainability of the water industry. We do this by building disruptive solutions that combine Siemens experience in instrumentation and automation with analytics driven insight built in to Internet of Things applications. Further information on the team and our portfolio is available here www.siemens.co.uk/water
Data Analytics and Artificial Intelligence is a growing capability in Siemens and globally there are over 400 data scientists and over 10,000 developers working across our business units. For an example of the areas where our data scientists work look here link.
It’s incredibly important that our people enjoy working here and therefore we take great pride in having a friendly, helpful and engaging culture. We also appreciate that development and training is important to many and that’s why we have a supportive environment which invests in our employee’s development, whether that’s Chartership, training or mentoring.
Siemens recognise that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants. See our flexibility culture here..
Use your skills to move the world forward.
The team is established and last year won the Data Analytics and Artificial Intelligence Project of the Year with Yorkshire Water for using AI to predict potential pollution events into rivers.
Three functions support each other in delivering projects: Engineering who understand how to connect to assets and bring data from site in to the cloud; DevOps who take an application from user experience development to v1 product approved for release in Siemens global portfolio; and Data Science, which generates the analytical methods, supports their integration in to the applications, and finally validating customer value in project delivery.
We are seeking to recruit a Data Scientist to join the Data Science function and support the growing product portfolio which includes: monitoring waste water networks to reduce pollution events and analysis of real-time water quality data to improve network resilience and reduce the cost of providing clean drinking water.
Guided by a Lead Data Scientist, your primary role will be to describe and characterise data, experiment with machine learning models and contribute to production code. You should be able to describe your findings in either reports or presentations.
In addition, you will be required to support Dev Ops and customer requests for new model generation or onboarding. You should proactively monitor prototype models to ensure their correct operation and validate unexpected results.
You will be expected to build your skills during your employment, particularly with regards to your technical knowledge and ability to communicate your findings to non-technical stakeholders or customers. Siemens will support your growth with access to training courses and a worldwide community of data scientists.
The team has an open and collaborative culture and so depending on your interest you will also have the opportunity to be involved in product roadmapping discussions and technical sales with customers.
We are looking for a Data Scientist with ideally Graduate in a computer science or STEM (science, technology, engineering or mathematics) related field or the foreign equivalent.
You will have experience of analysing data (demonstrable experience of analysing data to derive insight, for example in a thesis, previous employment, through personal projects or online competitions), Strong technical knowledge (Understanding of multiple types of data, primarily time series), good coding ability (ideally Python Experience using Python related libraries, including some of numpy, SciPy, pandas, scikit-learn, Pytorch, Pytorch lightning) and the right behavior and mindset for our business – if you are future thinker, with a passion for making a difference, this could be the role for you.
We’ve got quite a lot to offer. How about you?
Our compensation package includes a competitive salary, holiday allowance, pension and other additional benefits. We celebrate the fact that our employees are individuals and have different wants and needs. With this in mind, we have a flexible benefits scheme where you can tailor your benefits package to suit you.
Siemens recognise that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants. See our flexibility culture here.
We have partnered with VERCIDA, the UK's largest diversity and inclusion focused careers site where all our vacancies are in an accessible format. If you require any reasonable adjustments to be made to enable you to participate in the recruitment process, please let us know via our FAQ section here.
Organization: Digital Industries
Company: Siemens plc
Experience Level: not defined
Job Type: Full-time