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Data Scientist

Harnham

London

Hybrid

GBP 60,000 - 75,000

Full time

8 days ago

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Job summary

A professional services firm in London is seeking a Data Scientist to help build their internal data capabilities. The successful candidate will design a Data Lake, perform data analysis, and engage with stakeholders to solve business problems using data. This full-time position offers a competitive salary up to £75,000 and is based in a hybrid work environment.

Qualifications

  • 2+ years of experience in Data Science or Data Analysis.
  • Strong hands-on experience with Python, SQL, and Databricks.
  • Proven experience with building Data Lakes preferred.

Responsibilities

  • Design and implement a company-wide Data Lake.
  • Perform data analysis and build automated reporting dashboards.
  • Collaborate with stakeholders on data strategy.

Skills

Python
SQL
Databricks
Data Analysis
Communication Skills

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Data Scientist

Up to £75,000

London (Hybrid)

Company:

They are a professional services firm specialising in tax, audit, and accounting for businesses. Backed by a Private Equity firm, on an exciting journey to bring our data capabilities in-house. With a well-established infrastructure and existing data science work currently outsourced, we’re now ready to build out our internal capability, starting with this hire.

Responsibilities:

  • Design and implement a company-wide Data Lake
  • Perform data analysis and build automated reporting dashboards
  • Collaborate with PE partners and internal stakeholders on data strategy
  • Apply Data Science techniques to solve business problems (e.g. price optimisation, forecasting)
  • Suggest and implement process and data improvements
  • Act as the go-to expert for data best practices and insights

Requirements:

  • 2+ years of experience in a Data Science, Data Analysis, or related role
  • Strong hands-on experience with Python, SQL, and Databricks
  • Proven experience working with or building Data Lakes (Deng experience preferred)
  • Excellent communication skills and stakeholder engagement ability

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Analyst and Engineering
  • Industries
    Accounting

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