SonicJobs Logo
Left arrow iconBack to search

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

Tenth Revolution Group
Posted a day ago, valid for 7 days
Location

Newcastle Upon Tyne, Tyne and Wear NE1 4LQ, England

Salary

£60,000 - £65,000 per annum

Contract type

Full Time

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.

Sonic Summary

info
  • My client is seeking an experienced Data Scientist for a hybrid remote position in Newcastle, offering a competitive salary between £60,000 and £65,000 based on experience.
  • The role requires a minimum of 3 years' experience in applied machine learning and production model deployment.
  • Key responsibilities include developing and deploying machine learning models, implementing ML Ops, and collaborating with data engineers to ensure robust data pipelines.
  • Proficiency in Python, SQL, and ML frameworks such as TensorFlow or PyTorch is essential, along with hands-on experience with AWS services and Databricks.
  • This permanent role is open to UK residents only and does not offer sponsorship; interested candidates should apply promptly as interview slots are limited.

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 (url removed) or you can call me on (phone number removed).

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 (url removed)

Apply now in a few quick clicks

By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.