Data Scientist – Full-time, Permanent

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(Competitive salary: plus, bonus, enhanced benefits – including unlimited paid annual leave, discounted gym membership and more)

Role overview

We are looking for individuals who are highly curious about discovering patterns and meaning in data from businesses and organisations. As a data scientist, you will be analysing large quantities of data, helping both our clients and Profusion to visualise hidden insights – which are then used to solve business challenges. You will have commercial experience in the Data Science industry, and you are someone who is able to provide solutions to real business problems that will benefit our clients.

The key responsibilities of a data scientist are to take a scientific, data driven approach to solves business challenges and discover along the way not just the answer to the original questions asked, but also what new questions might be fruitful to ask. From a practical point of view, this may involve wrangling data from different sources into shape so that mathematical, statistical and machine learning methods can be applied to address the business challenge at hand. In other words, the data scientist’s primary focus will be in applying statistics and machine learning to help business stakeholders make smarter, better informed decisions. The data scientist will need to work closely with our clients to identify issues and use data and algorithms to propose solutions. Coding solutions that are replicable and clear to follow which will enhance the team’s productivity and results. The data scientist should also be able to engage in business storytelling to communicate his / her ideas in a clear and engaging way to non-technical business stakeholders.

The data scientist should have significant experience in statistical analysis and machine learning and likely holds an MSc or PhD in maths, statistics, computer science or related field. We also value creativity, being able to think outside the box and the ability to understand the wider human and business context and not just the mathematics.

You will have good potential for personal and career development, learn from and share knowledge with a range of talented, highly skilled and internationally diverse team of colleagues. All of this while embarking on an exciting journey with a pioneering, fast-growing company situated at the heart of London’s Tech City.

Key responsibilities

  • Writing SQL queries to get the relevant data
  • Using Python or R to analyse data
  • Using Sisense to visualise data insights
  • Occasionally using Excel for some quick data analysis
  • Explaining to non-technical stakeholders the outcomes of the data analysis
  • Cleaning, exploring and aiding in the data analysis for ad-hoc projects.
  • Analysing, summarising and drawing insights from data in order to deliver BAU reports
  • Aid in developing and delivering data science training modules
  • Automating recurring data analysis reports
  • Designing a mathematical model to solve a business question
  • Translating a mathematical solution back into business language
  • Develop new ideas and support on innovation
  • Any other ad hoc responsibilities that may reasonably be required

Personal Specification: Knowledge, Experience and Skills

We are looking for a candidate that has some existing experience in data science or data analytics, who has attained a postgraduate degree in Statistics, Mathematics, Computer Science, Physics, Economics, Chemistry, Biology or another quantitative field, or relevant industry experience.

Knowledge and experience (in order of importance)

  • Relevant work experience in data science and business analytics
  • Solid experience coding in Python, R or Julia
  • Experience using SQL to query relational databases
  • Excellent understanding of data science techniques
  • Understands the theory behind different statistical and machine learning methods and understands their application
  • Experience in teaching DS/Maths/Physics or other relevant academic disciplines
  • Experience working with datasets that require a lot of wrangling or cleaning
  • Experience working in an Agile environment (e.g.: Kanban, Scrum)
  • Experience with good software engineering practice
  • Experience with Cloud technologies (preferably from AWS
  • Experience with Sisense, the data visualisation software

Skills and traits (in order of importance)

  • Ability to imagine useful ways of analysing data
  • Imaginative in how a business challenge can be translated into a mathematical problem
  • Good communication skills – including explaining data science to non-technical stakeholders
  • Ability to tell a story using data and convey the main message clearly
  • Ability to visualise data to communicate more effectively
  • Ability to estimate amount of work needed to complete a project
  • An interest in human behaviour, business or marketing
  • Desire to brainstorm ideas creatively and propose data science inspired solutions to business questions
  • A love for sharing knowledge, teaching, learning and collaboration

How to apply

(Closing date for applications is 30th June 2021).

Please note that because of the high number of applications we typically receive, it is not possible to answer everyone in person, successful candidates will hear from us within 2 weeks of the closing date.

Application deadline: 30/06/2021

Benefits:

  • Company pension
  • Gym membership
  • Unlimited paid holidays

Schedule:

  • Monday to Friday

Work remotely:

  • Temporarily due to COVID-19
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Job Overview

  • Date Posted:
  • Expiration date:July 4, 2021
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