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Data Scientist

Deerfoot IT Resources Limited
Posted 10 hours ago, valid for 4 days
Location

Oldham, Lancashire OL2 8EQ, England

Salary

£50,000 - £60,000 per annum

Contract type

Full Time

Life Insurance

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Sonic Summary

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  • We are looking for a highly skilled Data Scientist with a strong background in Deep Learning to join our team in Oldham, offering a salary of £50-60k plus benefits.
  • The role involves developing and implementing deep learning models for image classification, collaborating with software engineers, and conducting exploratory data analysis.
  • Candidates should have a Master's or Ph.D. in a relevant field and proven experience in deploying deep learning models using frameworks such as TensorFlow or PyTorch.
  • The position is 100% onsite initially, with flexible working options after the probation period, and requires strong programming skills in Python.
  • Benefits include 32 days holiday, enhanced parental leave, pension contributions, healthcare insurance, and access to a modern gym.
Data Scientist

50-60k base + benefits

100 % onsite in Oldham initial then flexible after probation period is passed



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.



Responsibilities

  • 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


Qualifications

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field is desirable
  • 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


Day-to-day

You will be working on developing and implementing deep learning models, collaborating with software engineers, conducting data analysis, and staying updated with the latest advancements in deep learning and AI technologies.



Benefits

  • Competitive salary
  • Flexible working hours
  • 32 days holiday, including public holidays, with 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
  • Staff car workshop
  • Free onsite modern gym
  • Cycle to Work Scheme
  • Informal dress code
  • Paid breaks, with free hot premium drinks

If you're an experienced Data Scientist and want to join our award-winning team working on the latest cutting-edge technology, we want to hear from you.

Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.

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