Job description

Data Scientist- London - Up to £55K

I am looking for an experienced Data Scientist to join an exciting client of mine based in East London. They are looking to add to their team, someone who has experience working with SQL Server and various different data science tools (R, Python) developing Machine Learning models and algorithms

The company have grown at a healthy rate over the last few years after receiving substantial investment and are looking to take those extra steps into Machine Learning and Predictive Analytics.

The role would allow you to work with the latest technologies and give you the opportunity to progress through a large organisation within financial services as they continue to grow.

Role & Responsibilities

Building Machine Learning models

Creating Machine Learning Algorithms

Building data pipelines using Python, Pyspark and Databricks in MS Azure

Assisting in the development of the overarching data landscape and architecture

Ad hoc data governance, assurance, and quality tasks

Ensure that all work is carried out in line with best practice guidelines

Work closely with stakeholders

Contribution to various automation focused projects

Skills & Qualifications

Strong experience with MS Azure technologies

Strong experience with Python or Spark

Experience using Data Bricks or Pyspark

Strong hands-on coding background

Solid understanding of SQL Server

Benefits

Base salary up to £55K

Pension

Wellbeing benefits

Career progression

They are looking to start the Interview process ASAP, so don't miss out, APPLY now!

My client has limited interview slots so please apply urgently, please send your up to date CV to Nancy Tamplin n.tamplin@nigelfrank.com or call 0203 808 7304 for a catch up in complete confidence.

Please Note: This is a permanent role. This role is for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

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