Senior Data Scientist

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Overview is looking for a Senior Data Scientist to fill a high profile role within our team to help drive the development and competitive advantage of the UK's biggest job site. 

As part of a team of data specialists you will develop innovative solutions that keep at the forefront of a data-driven market. Your team will leverage sophisticated machine learning and big data technologies overcoming a variety of data and engineering challenges to allow customers to discover their perfect career. 

You'll have exposure to some of the latest tech available including Amazon Redshift, Looker, Docker and Elasticsearch. Developing solutions through the entire lifecycle, from ideation and hypothesis to seeing your solution in production. You will be involved in some of the latest advancements in the recruitment technology field and be able to use and develop your skills to help guide the businesses technology stack to improve and understand the jobs market.

Key Responsibilities 

The role will involve using machine learning to  identify patterns and trends by analyzing our data. You will be able to model interpret, enrich and running experiments on both jobs and candidate related data to improve our products and services.  Additionally through research, insights and prototyping you will be responsible for ensuring we remain on the cutting edge and always pushing the technical capabilities of the team and our products. 

You will be using a variety of different tools, technologies and techniques such as AWS, Jupyter notebook and python to:

  • Acquire & Scrub Data

  • Filter & Mine data

  • Represent & Refine Data

  • Sort and Search Data 

Working alongside engineers to help us build-out a core suite of data products and services based around improving the experience of job seekers looking for jobs and recruiters looking for candidates.  

Skills and Experience 

The successful candidate will be a data evangelist, preferably with a background in computer science, with good knowledge of statistical analysis, data processing and modelling of large datasets to derive new insights; presenting insights back to stakeholders, or developing prototypes of tools or learning models. 

This role will suit candidates from eclectic backgrounds as we are primarily seeking an analytical and inquisitive mind. 

This role is an excellent opportunity for a candidate seeking the opportunity to drive themselves with their own enthusiasm for the subject matter. 


  • A solid background in statistics and computer science

  • Experience working with and manipulating textual data (NLP experience will be especially beneficial)

  • Experience of using different machine learning models with textual data

  • Proficient working with relational and non-relational data sources

  • Experience of experiment design

  • Fluency of Python, and common machine learning packages i.e scikit-learn

  • To be a self-starter, bringing your own creativity, enthusiasm and real world problem-solving to a highly motivated team

Key Measures and Targets

  • Delivered applications, techniques or insights based on the data science roadmap to provide standardised, enriched or added/derived insight against’s core data sets

  • Well-defined and well-understood metrics have been set alongside each product to assess their effectiveness  

Join REED - Our Values, Your Values; Our Future, Your Future

Proud winners of:

  • #1 Recruitment Agency Glassdoor Best Places To Work 2018
  • Glassdoor Top CEOs 2019
  • The JobCrowd Top Companies For Graduates To Work For 2018/19


All job offers are subject to satisfactory references and compliance with vetting requirements applicable to the job role. REED is an equal opportunities employer.  We aim to ensure that no candidate or employee receives less favourable treatment on the grounds of gender, race, disability, sexual orientation, religion or belief, age, gender identity, marital or civil partnership status, pregnancy or maternity.  We are a MINDFUL EMPLOYER and offer a guaranteed interview scheme for disabled applicants who meet the minimum criteria.

Reference: 399405

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