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Senior Data Scientist MLOps, AWS, Python - Retail - Hybrid

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Posted 13 days ago, valid for 4 days
Location

London, Greater London EC1R 0WX

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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  • The position is for a Senior Data Scientist specializing in MLOps, AWS, and Python, located in London with a hybrid work model.
  • The role offers a day rate of £700 to £900, depending on experience, and is classified as inside IR35.
  • Candidates must have at least 5 years of hands-on experience in data science, with a strong portfolio showcasing real-world projects.
  • Key responsibilities include developing and deploying machine learning models, designing production-grade ML pipelines, and collaborating with engineering teams.
  • The ideal candidate should have expertise in machine learning techniques, strong proficiency in Python and SQL, and be comfortable taking technical ownership of projects.

Senior Data Scientist (MLOps, AWS, Python) - FMCG/Retail - London/Hybrid Day rate: £700 - £900 (inside IR35) Duration: 6 months Start: Now

My new client is looking for a Senior or Principal Data Scientist with strong experience in machine learning, statistical modelling, and production-level ML systems. Must have experience building and shipping production-level ML pipelines in some cloud platform and writing production level code, working closely with Engineers.

Key Responsibilities:* Develop and deploy ML models and statistical analyses, including time series forecasting, clustering, and econometrics* Design and implement production-grade ML pipelines using modern cloud platforms (AWS, Azure, or GCP)* Write clean, maintainable Python code and performant SQL for data wrangling, analysis, and model deployment* Collaborate with engineers and cross-functional stakeholders to scale models and insights into production environments* Take technical ownership of projects, mentor junior team members, and influence data science best practices

Requirements:* 5+ years of hands-on experience as a Data Scientist, with a strong portfolio of real-world projects* Expertise in machine learning and statistical modelling techniques(time series, clustering, econometrics preferred)* Strong proficiency in Python and SQL* Comfortable working in engineering-focused teams and writing production-level code

*Rates depend on experience and client requirements

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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.