Data Scientist

Innovative Technology; Oldham; On-site; GBP 40,000 - 65,000; Full time

Job summary

A market-leading global company, Innovative Technology, is seeking an experienced Data Scientist to join their team in Oldham. This role involves developing deep learning models for data insights, collaborating with engineering teams, and staying current with advancements in AI technologies. Ideal candidates should have a Master's or Ph.D. in a related field, with strong programming and communication skills.

Benefits

32 days holiday including public holidays

Opportunity for extra holiday

Enhanced maternity/paternity/adoption leave & pay

Enhanced Pension Contribution

Life Insurance

Income Protection Insurance

Educational Sponsorship

Electric Car Scheme

Free secure parking

Free onsite modern gym

Cycle to Work Scheme

Informal dress code

Paid breaks with free hot premium drinks

Qualifications

• Master’s or Ph.D. in a relevant field is desirable.
• Understanding of mathematics related to CNNs and GANs is essential.
• Experience with deep learning frameworks and strong programming skills in Python.

Responsibilities

• Develop and optimize deep learning models for image classification.
• Collaborate with Software Engineers for model integration.
• Conduct exploratory data analysis and communicate insights.

Skills

Deep Learning

Python

Problem-solving

Communication

Education

Master's or Ph.D. in Computer Science

Tools

TensorFlow

PyTorch

Keras

AWS

Google Cloud

Azure

Docker

Kubernetes

Job description

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Are you an experienced Data Scientist, who is looking to work in a fast paced, global, market leading company?

Here at Innovative Technology,we have an excellent opportunity for a Data Scientist, to join our talented team at our head office in Oldham, Greater Manchester.

The Data Scientist, role overview:

We are seeking a highly skilled and motivated Data Scientist with a strong background in Deep Learning to join our dynamic team. In this role, you will be responsible for developing and implementing deep learning models to extract valuable insights from vast amounts of data. You will work closely with cross-functional teams to drive data-driven decision-making and create impactful solutions.

Your Responsibilities as a Data Scientist:

• Develop, implement, and optimize deep learning models for image classification problems
• Collaborate with a co-located team of Software Engineers to ensure seamless integration of models into production environments.
• Conduct exploratory data analysis, data preprocessing, feature engineering to uncover insights and guide model development.
• Stay up-to-date with the latest advancements in deep learning and AI technologies and apply them to real-world problems.
• Communicate complex technical concepts and results to non-technical stakeholders effectively.
• Participate in code reviews, model evaluations, and continuous improvement processes to maintain high-quality deliverables.

Skills and experience we are looking for in our Data Scientist:

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is desirable. An excellent degree from a well-established University will be considered.
• Understanding of the mathematics of CNNs and GANs essential, or other advanced deep learning techniques.
• Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, Keras, or similar.
• Strong proficiency in programming in Python.
• Excellent problem-solving skills and the ability to work independently as well as in a team.
• Strong communication skills with the ability to explain technical concepts to diverse audiences.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) preferable.
• 32days holiday, (including publicHolidays) plusthe opportunity to earn up to an extra 13 days holiday each year
• Enhanced maternity/paternity/adoption leave & pay
• Enhanced Pension Contribution
• Life Insurance
• Income Protection Insurance
• Educational Sponsorship
• Electric Car Scheme
• Free secure parking
• Free onsite modern gym
• Cycle to Work Scheme
• Informal dress code
• Paid breaks, with free hot premium drinks