Data Scientist

1 month ago


England, United Kingdom Shift F5 - Technology Recruitment Full time

Founded by medical professionals, our client is a Cambridge-based MedTech company on a mission. They leverage cutting-edge platform technology to analyse complex disease data in new ways, with the goal of transforming how we use clinical information to benefit patients struggling with these conditions.


The Role:

They're seeking a talented Data Scientist to join their team and play a key role in developing their cloud-based platform. You'll be responsible for designing, implementing, and maintaining modular and reproducible ML pipelines that empower their clients to upload, curate, and analyse their data with cutting-edge techniques.


  • Design and implement scalable, production-ready ML pipelines using Python.
  • Conduct research into the latest machine learning models to ensure we offer the most effective solutions.
  • Collaborate with colleagues to contribute to industry publications and showcase our expertise.
  • Integrate your data science workflows seamlessly into our cloud-based platform.


Requirements:

  • 2+ Years of Applied Data Science Experience: You'll have a proven track record of tackling real-world problems using data science techniques.
  • Statistical and Modeling Expertise: You possess a strong foundation in statistical methods and model building to extract valuable insights from data.
  • Proficient in Python and its core data science libraries (Pandas, Jupyter Notebook, Scikit-learn, NumPy, SciPy, etc.) for efficient data manipulation and analysis.
  • Data Wrangling: You have the skills to tackle messy data sets with confidence, cleaning, wrangling, and preparing them for analysis.
  • Data Storytelling: You can effectively communicate complex datasets through clear explanations and compelling visualizations.
  • Experience with SQL & PostgreSQL


What's on Offer:

  • Salary in region of £50,000 per annum
  • Hybrid working - 1 day a month in Cambridge
  • 25 days annual leave + bank holidays
  • Healthcare Insurance
  • Discretionary employee share option scheme



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