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Data Scientist - Time Series Forecasting

Lorien · London, UK · Hybrid · Senior

  • London, UK · Hybrid
  • 6 Months

Indexed (12 days ago) · refreshed constantly

Budget
£81–88 / h
Start
ASAP
Duration
6 Months
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
JS-BBBH184683

Job description

Project overview

Data Scientist - Time Series Forecasting

Inside IR35

6 Months

Hybrig/Remote

We're looking for a Data Scientist with a background in time series forecasting to join a growing, high-impact data team. This is an opportunity to work across the full lifecycle of advanced analytics projects, delivering scalable solutions to complex, real-world business challenges.

The Role

As a Data Scientist, you will:

What We're Looking For

Essential experience:

Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

  • 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
  • Experience in Data Science with a proven track record of solving complex problems
  • Expertise in time series forecasting (eg 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 SciPy, Scikit-learn, PyTorch, Keras
  • Experience working with cloud platforms and modern data stacks (eg 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

Project details

  • Start: ASAP
  • Duration: 6 Months
  • Location: London, UK, GB
  • Rate: 81-88 EUR/h

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