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Data Scientist - Newcastle - Hybrid Remote - £60k - £65k

Tenth Revolution Group
Posted a day ago, valid for 6 days
Location

Newcastle Upon Tyne, Northumberland NE19 2BG, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • My client is seeking an experienced Data Scientist in Newcastle for a hybrid remote role with a salary range of £60k - £65k, depending on experience.
  • Candidates should have a minimum of 3 years' experience in applied machine learning and production model deployment.
  • The role involves developing and deploying machine learning models, collaborating with data engineers, and utilizing tools like Python, AWS, and Databricks.
  • Additional benefits include flexible working, 22 days of holiday (increasing to 25 with service), staff discounts, and charity support.
  • This is a permanent position for UK residents only, and applicants must have the right to work in the UK with no sponsorship offered.

Data Scientist - Newcastle - Hybrid Remote - £60k - £65k

My client are seeking an experienced Data Scientist with strong experience in machine learning and data analytics. You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure. You will also be responsible for building and fine-tuning machine learning models that drive key business outcomes for my client.

Salary and Benefits

  • Competitive salary of £60k - £65k (depending on experience)
  • Flexible working (hybrid remote)
  • 22 days holiday (rising to 25 with service) Plus 8 days bank holidays
  • Staff discounts & Friends and Family discounts
  • Cycle to work scheme and Tech Scheme
  • Charity day per annum supported
  • Summer and Christmas Parties

Role and Responsibilities

  • Develop & Deploy Machine Learning Models
  • Implement ML Ops
  • Leverage AI Tools: Use AI-powered coding assistants to enhance development efficiency
  • Collaborating and working closely with data engineers and the Head of Data to ensure robust data pipelines and translate requirements into technical solutions
  • Work effectively and efficiently with Python, AWS services and Databricks

What do I need to apply for the role

  • 3+ years' experience in applied machine learning and production model deployment
  • Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Hands-on experience with AWS services and Databricks; familiarity with ML Ops principles is a plus
  • Ability to quickly learn new tools and independently deliver scalable, high-quality solutions
  • Experience with data pipelines (Kafka, Debezium, S3, Lambda, Delta Lake) is a bonus

My client have limited interview slots and are looking to commence with first stag interviews on Monday 16th December. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at or you can call me on .

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.