Data Scientist / Software Developer - Oxford

Employer
Location
Oxford
Salary
£25,000 to £35,000
Posted
Aug 30, 2016
Closes
Sep 27, 2016
Result Type
Jobs
Position Type
Permanent
Hours
Full Time

Data Scientist / Software Developer
Oxford
£25,000 to £35,000

Tessella is a global analytics and data science consulting services company that works with some of the world’s leading organisations in pharmaceuticals, energy, consumer goods and the public sector. We are scientists and engineers who enjoy solving complex, real-world problems. We closely collaborate with our clients to intimately understand their domains, and use our technical expertise to create and deliver innovative solutions.

The Role
We are looking for high-achieving science, mathematics and engineering graduates and postgraduates to join us and help our customers make informed business decisions by providing them with new and valuable insights from their data. You will have the opportunity to apply the knowledge you have gained during your studies and use a range of skills, from data analytics, informatics and software engineering to problem solving, communication and collaboration.

Projects are challenging, varied and hugely rewarding e.g. increasing productivity in the development of new medicines; designing satellites to observe and understand the universe; harnessing fusion power to provide unlimited, clean energy.

Due to our continued growth and success, we are hiring for a number of positions from graduate entry level to experienced, and we have both immediate and upcoming vacancies in all of our UK offices: Abingdon (near Oxford), Burton upon Trent, Stevenage and Warrington.

Requirements
A career at Tessella offers a unique opportunity to combine data analytics, domain knowledge and technical skills. To succeed in this role, you should have:

  • BSc (min. 2.1), MSc or PhD in science, mathematics or engineering.
  • Software development experience in one or more of the following: Java, Python, C, C#, C++, R, Matlab. We prefer object-oriented programming expertise.
  • An understanding of big/complex data and the ability to interpret data in order to draw conclusions using a wide variety of statistical and machine learning techniques.
  • The eagerness and capacity to quickly learn new domains and technologies and apply your skills to unsolved challenges.
  • Excellent written and verbal communication skills and the ability to explain complex technical solutions to customers and colleagues from all backgrounds.
  • While not essential, any experience with data analysis tools such as Hadoop or Spotfire would be an advantage.

What We Offer
From growing your technical abilities to developing leadership skills, we offer tailored career development based on your aspirations. This is supported by our industry-leading training package – all of our staff have an annual training allowance of 150 hours, which can be used to learn new technologies, develop soft skills or earn recognised professional qualifications.

We offer a competitive salary and benefits package including a profit sharing scheme, non-contributory pension, relocation assistance and a range of flexible benefits. Our staff enjoy a good work-life balance and we support flexible working requests where possible.

About Tessella
Tessella is a global analytics and data science consulting services company. We combine our innovative problem solving abilities with our technical and domain expertise to help our clients understand the complex challenges they face and deliver the solutions they need. We offer exciting careers working on challenging projects with global companies at the forefront of science and technology.

All of our staff are high achieving problem solvers, over half of whom have PhDs. We enjoy creating, developing and delivering solutions and services that make a difference to the world, from developing smarter drug trials to controlling the orbit and attitude of satellites.

Tessella is part of the Altran Group, a global leader in innovation and high-tech engineering consulting.

To apply, please click on the 'Apply' button.