Data Analyst (Predictive Analytics)
Frontiers, United Kingdom
Job Description
We are on a mission to make science open so everyone can live healthy lives on a healthy planet
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. To date, our 200,000 freely available research articles have received more than 1 billion views and downloads and 2 million citations. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA).
The Role
We are now looking for a Data Analyst with expertise in predictive and prescriptive analytics to join our AI Products Team and help us evolve AIRA.
As a Data Analyst, you will perform in-depth analysis and visualization of large diverse datasets, to assess and improve AIRA’s recommendations to all the actors involved in the peer-review process. You will play a key role by working closely with the business to identify the use cases, where external or internal data insights can make an impact and improve business decision-making. This is a unique opportunity to leverage academic and professional experience in publishing, statistics and data analytics to increase the quality of published science, maximize the efficiency of the publishing process and make peer-review more objective.
Key Responsibilities
- Contribute to different initiatives involving descriptive, predictive, and prescriptive analysis by leveraging a variety of statistical techniques (such as regression analysis, hypothesis testing , survival analysis, principal component analysis)
- Provide analysis of trends and forecasts and recommend actions for optimization
- Identify patterns, build models, and test and improve predictive algorithms that increase our understanding of customer trends and identify opportunities to improve our products and services
- Work together with product managers, data scientists and business stakeholders to understand and support their needs
- Proactively identify opportunities for improvements in data quality, data visualization and data reporting for AIRA
- Build a strong understanding of the publishing landscape in order to actively contribute to the evolution of our Artificial Intelligence Review Assistant (AIRA)
About you
- Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
- Experience with statistical modeling techniques (e.g. linear regression, logistic regression, GLM), forecasting and predictive modelling
- Working knowledge in one or more statistical programming languages (e.g. SAS, Python, or R)
- Experience with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus
- Familiarity with big data platforms (e.g. Spark, Databricks) is a plus
- Robust analytical, critical thinking, and creative problem solving skills
- Accustomed to fast-paced environments with simultaneous, high-priority tasks
- Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences (fluency in English is a must)
Key Benefits
- Competitive salary
- 25 days holidays + Office Closure over the Christmas period
- Participation in the annual company bonus scheme
- Access to the latest equipment
- Extensive learning opportunities through our Pluralsight and LinkedIn Learning partnership
- Great flexibility for working from home
- English classes.
- Flexible retribution scheme (nursery cheques, restaurant pass, transportation).
- Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems