Graduate Data Scientist

Innovative Technology; Lancashire; On-site; GBP 30,000 - 40,000; Full time

Job summary

A market leading technology company in the UK seeks a Graduate Data Scientist to develop and implement Machine Learning algorithms for biometric technologies. The ideal candidate will have a degree in Mathematics or Computer Science and knowledge of Python or MATLAB. This position offers a competitive salary and excellent perks, including flexible working hours and extensive holiday allowance.

Benefits

Competitive salary

Flexible working hours

32 days holiday plus the opportunity to earn more

Enhanced maternity/paternity/adoption leave

Healthcare Insurance

Life Insurance

Educational Sponsorship

Qualifications

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

Responsibilities

• Maintain and develop Machine Learning algorithms for biometric technologies.
• Contribute to the development and optimization of CNNs.
• Investigate and resolve system and algorithm issues identified through testing.

Skills

Basic knowledge of Data Science/Machine Learning algorithms

Proficiency in Python or MATLAB

Understanding of Convolutional Neural Networks (CNNs)

Knowledge of programming languages including Python, C++, and C

Familiarity with Scikit-Learn, NumPy, and/or SciPy

Education

Degree in Mathematics, Computer Science or Computational Science

Job description

We are looking for a Graduate Data Scientist

We are looking for a Graduate Data Scientist to work in a fast paced, global, market leading company. 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.

The Graduate Data Scientist role overview:

This role is to maintain and proactively develop Machine Learning algorithms for current and future products, with a core focus on biometric technologies.

Your Responsibilities as a Graduate Data Scientist:

• 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.
• Actively contribute to developing Data Science activities and proposing new processes for quality development (e.g., standard reporting, source control, integration).

Your Skills & Experience:

• 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.

Your Package & Perks:

• 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

You 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, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application.

What s next?

If you are looking 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.