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Data Scientist

Harnham - Data & Analytics Recruitment
Posted 6 days ago, valid for 25 days
Location

London, Greater London EC1R 0WX

Salary

£48,000 - £57,600 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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  • Harnham is seeking a Data Scientist or Senior Data Scientist for a tech firm in the Private Equity sector in London.
  • The position offers a salary range of £100,000 to £110,000, along with additional benefits.
  • Candidates should have an M.Sc. or Ph.D. in relevant fields and experience using Python, with knowledge of cloud technologies being important.
  • The role involves building end-to-end machine learning solutions and delivering key data science initiatives across various industry sectors.
  • A strong focus on problem-solving and creating value through data science is essential, with candidates expected to work collaboratively in a dynamic environment.

Data Scientist / Senior Data ScientistLondonPrivate Equity£100,000 - £110,000 + benefits

Harnham is working exclusively with a tech firm in the Private Equity space, hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering.

The company have an impressive founding team and hold a strong reputation within the Data & AI space in Private Equity.

They partner with some leading investment firms in deploying AI for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering key data science initiatives that drive performance and revenue.

The Role - Data Scientist

You will be:

  • Working on multiple engagements within PE firms' portfolios across various different industry sectors
  • Delivering key Data Science initiatives to help drive valuable business operations and performance
  • Building end-to-end machine learning solutions, as well as driving key strategic insights (you will be a full-stack data scientist / MLE)
  • Working alongside a world class team of Data Scientists, MLEs and Data Engineers (from junior through to Principal/Director level)
  • Translating business challenges and converting them into clear and concise insights that create value

Experience - Data Scientist

You will have:

  • An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc.
  • Experience using Python is a must
  • Knowledge of cloud technologies important (agnostic)
  • A strong knowledge of statistical/machine learning models applied to real-world problems
  • A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important
  • A focus on using data science to create value is essential
  • A strong interest in working across a variety of different industry sectors and problem areas.

BENEFITS

Up to £110,000 base salaryCompetitive bonusThe opportunity to join a world-class and growing team

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page. For further details or to enquire about other roles, please contact Nick Mandella at Harnham.

KEYWORDS

Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance.

Apply now in a few quick clicks

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.