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Data Scientist - 1 Year Placement

Data Scientist - 1 Year Placement

Posted 20 February by Innovative Technology

Data Scientist - 1 Year Placement

Here at Innovative Technology we have a fantastic opportunity for a Data Science YII to work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. We are looking for an individual to join us on our Data Scientist - 1 Year Placement 'sandwich’ degree placement, but will also consider recent graduates looking for a step into the world of work.

In return, we can offer:

- Competitive salary

- Flexible working hours, between 7am-7pm (7am-4pm on Fridays)

- Option to finish at midday on Fridays

- Standard 32 days holiday, including Bank Holidays

- Workplace Pension Scheme, with a 3% contribution from us

- Two paid breaks per day, with free premium hot drinks, fruit and pool table

- Informal dress code throughout the working week

- Free onsite secure parking, modern gym, staff car workshop and an active social calendar

Whether you’re researching, developing or implementing machine learning algorithms, on our Data Scientist - 1 Year Placement you’ll have an opportunity to showcase your data science skills while being responsible for progress of your own project and its development.

Here at Innovative Technology, we appreciate that the products we manufacture are complex and the work at times can be challenging; however, it’s renown that our opportunities give our placements the ability to demonstrate their understanding of their specialist subject while getting invaluable industry experience.

What will you do on our Data Scientist - 1 Year Placement?

In a fast paced environment that offers opportunities to create and to develop, our Data Scientists are applying all aspects of their learning while delivering against targets and supporting and improving the accuracy and performance of our validators and ensuring they can deliver in the field with real acceptance and counterfeit rejection.

Our Data Scientists have exposure to all elements of data science and their role includes - but is not limited to - the following:

- Research

- Investigating and resolving issues through data diagnostics

- Assisting technical leads in providing twice yearly updates to the validation algorithm

- Planning and implementing improvements to the validation algorithms, including (but not limited to): image processing and feature extraction, 1D signals classification, image classification, data management within the processing pipeline

Your skills, experience and qualifications:

- An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject

- A superficial understanding of machine learning techniques and algorithms

- Some experience of programming in MATLAB, Python, or similar associated tools

- An excellent communicator who’s analytical minded with a practical approach to solving problems

We’re Innovative…

At Innovative Technology, we’re a global market leader in the design and manufacture of cash validation devices and processing services. We’ve over 380 employees at 10 locations across five continents, with around 180 based in our state-of-the-art head office at the Innovative Business Park.

You’ll find us in Oldham, on the edge of the Pennines and less than half an hour from central Manchester, with great local amenities and transport links on our doorstep. On-site we’ve modern, open-plan offices, rapid prototype workshop and development laboratory, which along with our friendly and hardworking culture should help you feel right at home.

What next?

If you’re looking to develop on our Data Scientist - 1 Year Placement and want to join our award-winning team, working on the latest cutting-edge technology we want to hear from you.

A better way... Through our people, drive and commitment we push boundaries to deliver innovative products and services.

Reference: 39970278

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