Data Scientist - Time Series Forecasting
Job in
London, Greater London, W1B, England, UK
Listed on 2026-06-03
Listing for:
Lorien
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Job Description & How to Apply Below
The Role As a Data Scientist, you will:
Lead and contribute across the end-to-end data science lifecycle, from problem definition and research through to deployment and optimization. Design, develop and scale time series forecasting models to drive business decision-making Work cross-functionally with Data Engineers, ML Engineers and product teams to deliver production-ready solutions Translate complex data science concepts into clear, actionable insights for both technical and non-technical stakeholders Ensure best practices in model performance, explainability, robustness and governance Stay at the forefront of emerging techniques, particularly within forecasting and predictive modelling Mentor team members and help build technical capability across the team What We're Looking For Essential experience:
Experience in Data Science with a proven track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across a portfolio of projects Experience engaging both technical and business stakeholders
Experience with libraries such as Sci Py, Scikit-learn, PyTorch, Keras Experience working with cloud platforms and modern data stacks (e.g. Databricks, Azure) Knowledge of building and deploying large-scale machine learning systems Familiarity with Agile delivery environments A curious, problem-solving mindset with a focus on delivering real business impact Guidant, Carbon
60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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