Data Scientist in City of London

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Job Description
Data Scientist | Population & Location Insight
6 months - Inside IR35
Hybrid - Onsite In London (Bi-weekly)
Are you the kind of Data Scientist who enjoys turning complex, messy datasets into clear, useful insight? Do you like asking the awkward questions that actually matter? Perfect, you’ll fit right in.
We’re looking for a Data Scientist to support strategic planning by analysing how changing population characteristics affect service locations, attendance, and operational models.
You’ll be exploring things like:
How shifts in population density and demographics impact the need for fixed and mobile service locations Whether geographical factors influence attendance and non-attendance The real-world strengths and limitations of different batching models This role is about practical impact, not vanity dashboards.
What you’ll be doing
Exploring and analysing large datasets to uncover trends and patterns Cleaning, preparing and visualising data to support decisions Building clear, simple models that help operational teams plan more effectively Working closely with stakeholders to turn analysis into action
Key technical skills
Strong experience with Python, Pandas and SQL Confident with data wrangling, exploration and visualisation Experience with business intelligence tools
What we’re looking for
Excellent interpersonal and stakeholder communication skills Proactive, enthusiastic and comfortable sharing ideas Logical, objective and calm when things are a bit unclear A genuine interest in learning and helping others grow Comfortable working in Agile delivery environments
This is the kind of role where your work directly influences real-world decisions, without the noise of big corporate theatre. If you like meaningful challenges, collaborative working and solving problems that actually matter, you’ll enjoy this.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
Location:
City Of London
Job Type:
FullTime
Category:
Data, Scientist, Science

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