Graduate Data Scientist

Innovative Technology; Greater Manchester; On-site; GBP 100,000 - 125,000; Full time

Job summary

A technology company in Greater Manchester is looking for a Graduate Data Scientist to develop Machine Learning algorithms for biometric technologies. The role requires a degree in a relevant field and proficiency in Python or MATLAB. Benefits include a competitive salary, flexible hours, and enhanced leave options. This position offers a unique opportunity to impact innovative projects within a leading organization.

Benefits

Competitive salary

Flexible working hours

32 days holiday including public holidays

Enhanced maternity/paternity/adoption leave & pay

Enhanced Pension Contribution

Healthcare Insurance (including dental)

Wellbeing support

Life Insurance

Income Protection Insurance

Educational Sponsorship

Electric Car Scheme

Free secure parking

Onsite electric car charging points

Cycle to Work Scheme

Informal dress code

Paid breaks with free hot premium drinks

Qualifications

• A degree in Mathematics, Computer Science or Computational Science.
• Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines.
• Proficiency in a Data Science prototyping language such as Python or MATLAB.

Responsibilities

• Contribute directly to the development of Machine Learning algorithms.
• Optimize and fine-tune existing models such as CNNs.
• Investigate and resolve algorithm issues identified through testing.

Skills

Data Science

Machine Learning

Python

Convolutional Neural Networks

C++

Scikit-Learn

Education

Degree in Mathematics, Computer Science or Computational Science

Tools

MATLAB

NumPy

SciPy

Job description

Here at Innovative Technology, we have an excellent opportunity for Graduate Data Scientist to join our talented team at our global head office in Oldham, Greater Manchester. Trading for over 30 years, we now have offices on five continents and employ around 400 people, with over 150 based from our state‑of‑the‑art R&D hub.

From self‑service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry‑leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world’s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we have seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You will find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability‑confident employer, and we will shortlist all candidates meeting our minimum criteria who state they have a disability within their application.

Responsibilities

• Contribute directly to the development, implementation, and validation of Machine Learning algorithms for our industry‑leading biometric and face analysis technologies.
• Optimize and fine‑tune existing models, including tuning and retraining existing Convolutional Neural Networks (CNNs).
• Investigate and resolve underlying system and algorithm issues identified through testing and customer feedback.
• Drive continuous improvement through research and development of novel techniques in the field.
• Ensure all code added to the pipeline and shared Git repositories is of the required standard, well‑documented, and easy to maintain.
• Package all code with appropriate unit‑testing to ensure future conformity and stability.

Qualifications

• A degree in Mathematics, Computer Science or Computational Science.
• Basic knowledge of Data Science/Machine Learning algorithms and full data processing pipelines.
• Proficiency in a Data Science prototyping language such as Python or MATLAB.
• Understanding of Convolutional Neural Networks (CNNs) and Feature Extraction techniques.
• Basic knowledge of programming languages including Python, C++, and C, along with libraries such as Scikit‑Learn, NumPy, and/or SciPy.
• Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration).

Benefits

• A competitive salary
• Flexible working hours
• 32 days holiday (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year
• Enhanced maternity/paternity/adoption leave & pay
• Enhanced Pension Contribution
• Healthcare Insurance (including dental)
• Wellbeing support
• Life Insurance
• Income Protection Insurance
• Educational Sponsorship
• Electric Car Scheme
• Free secure parking
• Onsite electric car charging points
• Cycle to Work Scheme
• Informal dress code
• Paid breaks, with free hot premium drinks