Industrial Placement – Data Science Engineer Innovation Incubator

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Industrial Placement - Data Science Engineer Innovation Incubator

  • Post Date:9th February 2021
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Job Description

AkzoNobel has a passion for paint. We’re experts in the proud craft of making paints and coatings, setting the standard in color and protection since 1792. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. Headquartered in the Netherlands, we are active in over 150 countries and employ around 34,500 talented people who are passionate about delivering the high-performance products and services our customers expect.

Starts: July 2021
Salary: £15,840 per annum + Relocation Support*** + Benefits + 25 days’ Holiday + Bank Holidays
Location: Felling, Gateshead & Central Newcastle-upon-Tyne

AkzoNobel

Where better to put your learning into practice and develop your functional expertise than as part of the team at AkzoNobel? We are more than just the leading global paints and coatings Company and a major producer of specialty chemicals. We are a Business recognised the world over for being first in our industries with innovations in data science.

At AkzoNobel we supply industries and consumers worldwide with innovative products and are passionate about developing sustainable answers for our customers. Our portfolio includes well-known brands such as Dulux, Sikkens and International. We also model large data sets and build predictive models which we deploy in new digital products.

We believe we can only grow our business as fast as we grow our people. That’s why we’re committed to investing in your time with us. Join us and we’ll work with you to develop your talents so that your ideas can go far. With an emphasis on development it’s no wonder we’ve consistently been voted as a Top Employer for 9 years running.

Available Opportunities

We currently have an Industrial Placement opportunity available within the Innovation Incubator team to start in the summer of 2021.

This position will be based at AkzoNobel site in Felling, Gateshead and at the Catalyst building (National Innovation Centre for Data), in central Newcastle-upon-Tyne. The role will involve collecting & cleaning new data sources, as well as developing & deploying data engineering pipelines for use in new data science concepts that may be applicable to future products. It is envisaged that a variety of data cleaning, quality control & deployment techniques and technologies will be employed by the successful applicant. The focus will be on both short term and longer term creating data pipelines for the creation of new business models.

AkzoNobel has a strategic relationship with the National Innovation Centre for Data (NICD) located at University of Newcastle upon Tyne. During this placement opportunity, the candidate with gain experience working alongside the NICD experts – solving problems and learning new skills and putting them into practise in practical projects.

The positions are predominantly office based, candidates must be highly enthusiastic about working as part of team to solve data science problems, and create value. Candidates must be willing to work in an agile manner to create value rapidly, working in an environment focussed on using Lean start-up methodology to create new data products. It is envisaged that the successful candidates will contribute with ideas to progress their projects and effectively organise their workload. A portion of time will also be spent writing up results, presenting progress and determining (along with the data science team) next steps in research.

You will work under the guidance of a line manager and will be supported by a dynamic team of industrial data scientists/engineers and industry experts, as well as guidance from external experts from NICD.

Requirements

To be considered for this industrial placement, you must be a high achiever and expecting to attain a minimum 2:1 degree or equivalent* on a course that offers you the option of taking a Year in Industry. Your degree subject area should be data science related, or alternatively have heavy elements of practical data science (e.g. mathematics and statistics).

A large part of the role will be use of Python, virtual machines, Azure deployment tools and containerization (e.g. docker) as well as other data engineering tools. You should be familiar with these tools and concepts, but further training will be given during the placement.

You must also have achieved a minimum of 3 Bs at A-level (or equivalent) as well as speak fluent English.

You’ll be highly motivated and keen to contribute to the progress of engaging projects within our operation. You should have some previous experience of data engineering work with the ability to work accurately, tidily, methodically and safely, conducting yourself in a professional manner, adhering to AkzoNobel policies on health and safety, quality standards and confidentiality.

What makes you different: not only do you have innovative ideas but also the energy and determination to make them happen; someone who wants to work in an international environment and find solutions to the big challenges facing the world.

If you would like to develop your talents, your career and help you take your ideas to the world, please apply.

The first stage of the process is an online interview, followed by a second level assessment if appropriate.

  • Please visit the FAQ section of our website www.akzonobel.com/graduates for equivalencies in your country.
  • UCAS Points are a measurement of ‘A ‘Level performance, points gained at AS level qualifications should not be included. 300 points are equivalent to 3B’s at ‘A ‘Level not including general studies.
  • Restrictions apply

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition ID: 8216