The Royal Society of Chemistry’s Data Science team plays an important role in the charity’s mission to shape the future of the chemical sciences – for the benefit of science and humanity. They use theirknowledge to help produce reports on topics such as gender biases in chemistry, to help prepare briefs to guide government policy on research funding and education, and to take part in international competitions to improve the state of the art in machine learning. The team focuses on projects that make a measurable difference.
The Royal Society of Chemistry is the world’s leading chemistry community, advancing excellence in the chemical sciences. The UK’s professional body for chemical scientists with over 50,000 members worldwide, we are a £65m-turnover not-for-profit organisation with over 550 staff operating around the world and an award-winning global knowledge business. For more than 175 years we have promoted, supported, and celebrated chemistry.
We are seeking a Data Scientist to join us on a permanent full-time (35-hour week) basis. This role can be based at our Cambridge or London offices or can be home based, if suitable.
As a Data Scientist for the Royal Society of Chemistry, you will have expertise in machine learning and applied statistics, programming and domain knowledge. The role is highly technical and hands-on, and involves running projects to mine complex data sets to discover knowledge that is valuable to the business, and requires a level of project management experience.
Your core responsibilities will include:
Advising on and investigating the feasibility of data science solutions and ideas. Conducting hands-on machine learning and applied statistics projects. Collaborating with a diverse set of users and stakeholders with different levels of statistical knowledge to adapt approaches to new insights based on data findings. Clearly and objectively communicating results, as well as their associated uncertainties and limitations. Presenting complex findings in an intuitive and understandable manner. Extracting meaning from data and to produce data products that convert raw data into a strategic asset, both in terms of chemical science data as well as with corporate data. Essential:
Qualification in machine learning, natural language processing, statistics or other numerate discipline. Higher degree required (PhD preferred). Demonstrable experience in data science, preferably with a science focus. Experience of machine learning and applied statistics. Experience in handling large datasets. Skilled in using Python, including NumPy, SciPy and Pandas and/or R, including the Tidyverse, Shiny and commonly used statistical modelling/analysis techniques. Skilled in database technologies such as SQL and MongoDB. Well-organised, self-motivated team player; aptitude for project management. Able to clearly communicate technical concepts to a non-technical audience. Negotiating skills to quickly resolve customer issues. A drive to learn and master new technologies and techniques. Highly desirable:
Experience in deep learning. Expertise in Cheminformatics/Chemistry data. Natural language processing and text mining. At the Royal Society of Chemistry, we offer a great work environment and excellent benefits.
If you are interested in this opportunity, please apply before the end of our closing date.