Data Scientist, Jobs, Glasgow, 615


“SceneOne is not an agency, it’s a family of people who look out for each other and that is how Lynne made me feel from day one.”

Chuks Iwuagwu, Business Analyst

curriculum vitae

/ˈviːtaɪ; ˈvaɪtiː/
noun (pl) curricula vitae
1. an outline of a person’s educational and professional history, usually prepared for job applications CV

Word Origin
Latin, literally: the course of one’s life

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Data Scientist - Glasgow

Information Technology - Data Specialist
Ref: 615 Date Posted: Monday 26 Mar 2018
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Data Scientist - Glasgow - c£Negotiable with equity

What You'll Do

  • Building and optimising our clients machine learning algorithms: their classifiers, their anomaly detection systems, and their risk and simulation models using modern machine learning techniques.
  • Feature analysis and selection; identifying and implementing effective pre-processing methods;
  • Extending their data with third party sources of information when needed and enhancing their data collection procedures
  • Building and maintaining automated systems for processing, cleansing, and verifying the integrity of the data used for analysis
  • Measuring and monitoring the performance of the implemented systems, including performance reporting.
  • Doing ad-hoc analysis and presenting results in a clear manner

Requirements

  • Strong understanding of machine learning techniques and algorithms, such as CART, SVM, neural networks, as well as techniques for validation and monitoring of algorithm performance.
  • Strong applied statistical skills.
  • Ability to creatively apply these skills in novel contexts in a business environment.
  • Ideally, experience in putting machine learning algorithms into production.
  • Python programming experience, experience with common data science frameworks (eg Python/Scikit-Learn), and willingness to learn new skills in this area.
  • Degree in Computer Science, Statistics, Mathematics or another quantitative Science with mathematical content (eg Physics, Engineering)
  • Great communication skills, ability to explain and communicate results to a non-technical audience, curiosity and eagerness to learn and develop new techniques

Who Are You

  • A strong data scientist with a passion for mathematics and technology
  • A natural affinity for working in a dynamic startup environment
  • Comfortable adopting a collaborative approach to problem solving
  • Able to deliver results autonomously and optimise for output
  • Forward looking - considering future use cases and lifetime of their modelling work
  • Appreciation of business goals and alignment with technology