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Senior Data Scientist

Robert Walters
Posted a day ago, valid for 24 days
Location

Manchester, Greater Manchester M17 1DJ, England

Salary

£22,000 - £26,400 per annum

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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 role involves leveraging expertise in statistical modelling, machine learning, and data engineering to analyze complex time-dependent datasets and develop accurate forecasting models.
  • Candidates should have a minimum of 4 years of experience in data science, machine learning, or software engineering, along with an MSc or BSc in a STEM subject or related field.
  • This Manchester-based startup is looking to expand its technical function and is seeking a senior engineer/scientist to solve real-world energy challenges and drive innovation.
  • The position offers a competitive salary ranging from £55,000 to £65,000, depending on experience, along with a discretionary bonus.
  • The successful candidate will work in a collaborative environment, leading junior team members and utilizing various coding and data techniques.

In this role, you will leverage your expertise in statistical modelling, machine learning, and data engineering to analyse complex time-dependent datasets, develop accurate forecasting models.

Are you a curious problem-solver looking for a role that combines engineering and coding, with problem solving Data Science responsibilities? This position offers an opportunity to solve real-world energy challenges, drive innovation, and make a significant impact in a fast-paced and collaborative environment.

This Manchester based start up business is looking to expand their technical function, following a very successful period of growth. This is a profitable local business that is looking for their next senior engineer / scientist to add huge value utilising various coding and data techniques.

Key Responsibilities

  • Develop solutions to complex energy problems through internal collaboration and original research.
  • Cleanse and engineer relevant data, ensuring it's organised and correct in an internal their cloud technology.
  • Develop, implement, and validate statistical and machine learning models to forecast key metrics and trends.
  • ï‚· Design and deploy scalable forecasting pipelines for real-time and batch predictions.
  • Utilise your knowledge across time series forecasting and optimisation to build out exciting models within the financial & energy data.
  • Utilise visualisation technologies to showcase findings internally.
  • Build, deploy, and maintain high-performing models with cloud technologies with focus on accuracy.
  • Lead the junior members of the team, upskilling and monitoring their progress.

Key Experience Needed

  • An MSc or BSc in a STEM subject (or Artificial Intelligence / Software Engineering) & minimum 4 years of data science, machine learning or software engineering experience.
  • In-depth knowledge of time series analysis techniques, including decomposition, seasonality, and trend modelling.
  • Strong mathematical problem-solving skills, including algorithm selection and implementation.
  • Real world industry expertise in Python, TypeScript, and SQL.
  • excellent communication and written skills, ensuring your work is accessible to others.
  • A proactive approach, taking ownership of projects and delivering high-quality work efficiently.

The role offers a competitive salary of £55,000-£65,000 depending on experience alongside a discretionary bonus. This position is on site in the office within their Manchester City Centre location.

Please apply within.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

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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.