Data Scientist Intern (12 months)

Job Description

Are you a forward-thinking and aspiring undergraduate ready to take your next steps in the world of Mobility? Could this be the next exciting step on your journey to your career? If yes, start your year in industry with us at Yunex Traffic – a Siemens Business.

Our mission is to help get people and goods to where they need to go as efficiently as possible. Our innovation in intelligent transport systems aims to both improve our current solutions and invent totally new ones for the significant challenges of tomorrow. The future of mobility is moving away from private car ownership to integrated, multi-modal transport networks. Vehicle connectivity is unlocking new opportunities for individuals, infrastructure and fleet operators alike. Click here for more information about the company.

The Role
You will spend 12 months working with our industry experts on cutting edge innovative projects to identify opportunities that support our global businesses. You'll make meaningful contributions while developing your professional expertise in a dynamic team environment. 

Based in the Innovation team, you will report directly to our software lead engineers. While day-to-day responsibilities will vary based on the nature of the project, you’ll build your foundational knowledge, professional skills, and experiences to take your career in many different directions. In your role, you’ll help to drive projects through to completion by analysing and presenting key data and improving our products & offerings. By doing this you will be supporting both our internal teams and our clients. 

Entry Requirements: For this role you must be studying towards your full BSc, MSc or PhD in Computer Science, Software Engineering, Data Analysis, or similar discipline. 

We are looking for someone who:
  • Has strong analytical and problem-solving skills.
  • Is a creative thinker with great attention to detail.
  • Is organised and able to work under pressure.
  • Is able to learn new skills quickly through informal learning.
  • Is self-motivated and able to work in a team as well as independently with minimal supervision.
  • Has strong communication skills.
Technical knowledge required:
  • Has experience using both qualitative and quantitative analysis techniques such as clustering, regression, pattern recognition, descriptive and inferential statistics.
  • Has experience working on large-scale data science/data analytics projects.
  • Has experience programming with Python or other programming languages.
  • Has public cloud knowledge such as AWS, GCP and Azure. 
  • Has strong mathematical skills and MS Excel ability.
What we Offer

At Yunex Traffic you’ll be working on exciting, world-leading engineering and innovative projects from day one.  Our internship will prepare you with the skills required to support throughout your career. We will help you make the very most of your talents. We place great importance not only on what we do, but how and why we do it. We are passionate, collaborative, and take pride in work that helps our customers and communities. Working for Yunex Traffic, you’ll go home at the end of each day knowing what you do really makes a difference. you will gain an excellent and varied experience working on real projects in a leading, global, high-tech company. At Yunex Traffic you will have the opportunity to work with other interns and skilled/diverse engineers, ranging from cyber security, data and analytics, technology consultants and field operators.  

What else do I need to know?

Closing Date: Applications should be received no later than 31 January 2022 for standard admissions, but later applications may be considered depending on the role remaining in place.
Duration: The internship will begin in September 2022, and we can be flexible about the start date. The length of the internship is 12 months.
Location: This internship will be at our Poole office, based 2.5 miles outside Poole city centre (with frequent direct bus services). Poole is also conveniently located within half an hour from Bournemouth. With its location on the southern coast of England, Poole is known for its large natural harbour, sandy beaches, rich history and many outdoor attractions to enjoy.

Working with Yunex Traffic

We’re looking for passionate teammates with the aptitude and attitude to succeed in the world of future mobility. 

Yunex Traffic is committed to promoting equality, diversity, and inclusivity. Yunex Traffic recognises that building a diverse workforce is essential 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 applicants to encourage agile working, flexibility, and innovation.

Yunex Traffic welcome applications from all candidates, but please note that we are unable to provide sponsorship for this role as the Home Office's eligibility criteria will not be satisfied. All applicants will be kept updated throughout the application process and we expect the results of the review in February 2022.

How To Apply: Applications should be made online. Please apply to this advert and include curriculum vitae, two reference letters and a cover letter to confirm: 
  • When you could start your internship 
  • How long you can commit to an internship 
  • Whether you have any deadlines to confirm your internship or placement year 
The Data Scientist, Analytics internship position is one of several vacancies we are handling. Other positions we are advertising for include artificial intelligent, machine learning, autonomous/connected vehicles, 5G mobile communication system and smart sensor technology for IoT, cyber security and IT related roles. For more information, please check our website and feel free to contact Charlotte Watson at 

Is this opportunity not quite for you but know someone who would be interested? Please send them this link to apply if so:

Organization: Siemens Mobility

Company: Yunex Limited

Experience Level: not defined

Job Type: Full-time

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