Data Scientist (C, C++, Python, Matlab or similar)
- Location: Oldham, UK
- Department: Research
- Closing date: 5th January 2017
Machine Learning
How would you like the autonomy to develop the right solutions, play to your strengths and develop new ones?
Would a role with great benefits, flexi-time, paid breaks, an on-site gym and newly built offices sound appealing?
We’re Innovative…
As a result of our continued international growth and new product development, Innovative Technology is looking for passionate individuals like you to join our highly-successful, expanding team. If you’re a visionary in your field and unafraid to challenge the status quo, you could be exactly what we need to fulfil our goal of revolutionising the cash handling industry.
At Innovative Technology we strive to be the best at what we do and are proud of our track record of innovation and growth, so it’s great to be recognised for our achievements and success. Recent accolades include The Queen’s Award for International Enterprise, The Sunday Times Profit Track 100 and The Sunday Times International Track 200.
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 and state-of-the-art development workshops, which along with our friendly and hardworking culture should help you feel right at home.
Our Opportunity
In this challenging new role you’ll join a diverse team of Engineers and Scientists at Innovative Technology, where we strive to design innovative products utilising the latest sensing technology for global customers.
Your role will focus on the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future products, where you’ll also develop novel classification and training algorithms for automated transactions and offer mathematical support to key business areas.
This role would suit a recent PhD graduate with some industry or research experience or a BSc/MsC graduate with time in industry, who’s a natural problem solver and has a genuine desire to continue their career in a leading-edge Data Scientist opportunity.
Your role
- You’ll investigate and analyse sensor, image, time and numerical information to identify insights and patterns in data
- You’ll research cutting-edge machine learning algorithms for Innovative Technology’s currency validation technologies using established methodologies
- You’ll design, implement and validate new algorithms to ensure our product accuracy continues to be industry leading
- You’ll provide expertise on mathematical and probabilistic concepts
- You’ll develop and implement various types of models that can make predictions in real-time
Your Qualifications
- Degree in Mathematics, Numerical Computing, Computer Science or other highly numerate subject is required
- Postgraduate degree or PhD in relevant subject is desirable
Your Skills & Experience
- Experience developing and implementing Machine Learning techniques and algorithms including at least one of the following:
- Ensemble modelling
- Decision Tree Learning
- Support Vector Machines
- And/or Artificial Neural Networks
- Experience in at least one of the following would be advantageous:
- PCA/ICA
- Linear Regression
- Logistic Regression
- Mathematical Optimisation
- Programming in one or more of C, C++, Python, Matlab, or similar tools
- Proven and comparable experience, ideally gained in an industrial environment
- Excellent written and verbal communication skills, with the ability to deliver presentations and technical reports
Your Package & Perks
- Highly-competitive salary
- Flexible working hours, to fit around personal commitments and give you time off when you’d like it most (with many of our team finishing at 2 o’clock on Friday’s)
- Paid breaks, in our own state-of-the-art open-plan offices, with free hot premium drinks.
- 24 days holiday, plus Bank Holidays, for great work-life balance.
- Workplace Pension Scheme, with a 3% contribution from us
- Private Healthcare Scheme available for you, and the option to add family members at a reduced cost
- Free onsite modern gym, staff car workshop, Cycle to Work Scheme and an active social calendar
For more information, email: This email address is being protected from spambots. You need JavaScript enabled to view it.