Macclesfield, Cheshire East, Cheshire, N. W. England, England
Up to £600 per day
Duration: 6 Months
As a Data Scientist within the Operations Quality you will support advances in understanding the Global Business Processes and enable Business Process Owners to drive targeted improvement activities to meet and exceed wider Operations business priorities.
You will be collaborating with the wider team within the Quality function and across the organization to develop data science generation strategies, identify gaps and data sources, design and execute studies, and implement analyses to address business and product related questions. The data will be varied in type, covering Quality System, Manufacturing, Forecasting, Financial for example.
You will need strong strategic, collaboration and communication skills, as well as an entrepreneurial mindset, to transform the way they use data and analytics to develop and deliver for patients, and partner with cross-functional teams and external partners with considerable independence.
Identify advanced analytics needs & recommend data solutions - ask the right scientific questions, understand the data requirements and make recommendations on fit-for-purpose data and analytics solutions.
Develop data strategy & gain access to data - develop strategic plans to access internal cross functional data sources to support advanced analytics needs, and gain access to data through collaboration and data generation.
Dive Into Data - Develop a comprehensive and deep understanding of the data we work with and foster learning with colleagues using analytical tools and applications to broaden data accessibility and advance our proficiency/efficiency in understanding and using the data appropriately.
Be An Expert In Applying Methods - Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
Produce High Quality Analysis - Apply rigor in design and analytical methods; plan for data processing; design a fit-for-purpose analysis plan, assess effective ways of presenting and delivering the results to maximize impact and interpretability; ensure compliance with applicable pharma industry regulations and standards.
Required Skills & Knowledge
*Msc, or PhD (desirable) degree in a quantitative discipline
*Fluency in statistical programming languages (R, Python, etc.)
*Experience implementing advanced Analytics approaches (machine learning, longitudinal data analysis, etc.)
*Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.)
*Experience producing interactive outputs (Shiny, etc.)
*Contributor to open source packages, libraries or functions
*Experience implementing reproducible Research practices like version control (e.g., using Git) and literate programming
*Demonstrated track record of developing and execution of data science projects
*Demonstrated experience with managing project scope and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges