Data Scientist

Company Description

About the role:

Informa Pharma Intelligence is the world’s leading authority on commercial and R&D information for the pharmaceutical industry. We provide real time intelligence featuring an unmatched data collection of global clinical trials, clinical trial investigator profiles, drug development pipelines, company profiles, sales, patents, epidemiology data and much more. This is an opportunity to work with industry leading datasets to provide new and meaningful analytics directly to pharmaceutical and professional services customers.

Job Description

We have an exciting opportunity for a Data Scientist to join our growing Data Analytics team. This role will closely collaborate with other members of the Data Analytics team, Product Management, content matter experts, and Technology teams to identify and further drive development of innovative advanced analytic solutions that address key customer problems, whilst also helping to guide methodologies and internal processes.

What you’ll be doing:

• Work within the Analytics Team alongside the Product Management and Technology teams to address key customer driven problems within the product roadmap
• Explore and apply predictive modelling and machine learning techniques to internal and new datasets to advance the product portfolio
• Propose new analytics concepts and develop proof of concepts for Product Management to gain customer validation before progressing to full product development
• Use natural language processing, advanced data mining techniques and machine learning to extract maximum value from structured and unstructured data sources.
• Responsibilities extend to identifying and selecting any new analytic tools require to support analytics innovation.
• Work with Data Engineers to guide data manipulation, alignment, and linking of existing data within our data architecture to drive analytics.
• Work alongside teams to identify new data assets that can support and enhance Informa Pharma’s advanced analytics offerings
• Identify ways to optimise internal ways of working and processes

Qualifications

What we're looking for:

• Bachelors or Masters in computer science, statistics or other quantitative subject
• Experience with advanced analytics techniques including but not limited to predictive modelling, machine learning and statistical analysis
• Knowledge of and experience with latest supervised/unsupervised machine learning techniques and algorithms eg GBM (XGBoost, CatBoost, etc)
• Feature engineering techniques to prepare diverse dimensional datasets for use in machine learning models and to improve performance including natural language processing (NLP)
• Experience with common data analytics programming languages (Python, R), libraries (Pandas, NumPy Scikit-Learn, etc) and tools
• Knowledge with data visualization tools such as Pydash, Bokeh, R Shiny and Tableau would be desired.
• Domain-expertise in the drug development industry would be preferable but is not a requirement.
• Good communication skills with the ability to communicate at all levels of an organization internally and externally.
• Understanding of agile methodologies and the ability to prioritise models and data according to the goals of the project in order to deliver continuous value.

Additional Information

Why work at Informa:

Employee experience is very important to us at Informa. On top of joining a supportive, diverse and ambitious team that welcomes all types of candidates, we are also flexible with different working patterns and prioritize promotions internally. Our benefits include: 

• Learning and development plan to assist with your career development   
• 25 days annual leave, 4 days for volunteering and a day off for your birthday!  
• Competitive Benefits
• Work with high quality specialist products
• Bright and friendly staff who are all “experts' experts” and additional training and development to helping you achieve your career aspirations   
• Share-Match options - become a shareholder   
• Regular social events and networking opportunities   

We know that sometimes the 'perfect candidate' doesn't exist and that people can be put off applying for a job if they don't fit all the requirements. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. You could be just what we need!

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Informa is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, citizenship, or other protected characteristics under local law.