Data Scientist

Data Scientist (Pharma) Fully remote (UK/Ireland/Europe) Salary up to £75k depending on experience MBN Solutions are delighted to have been retained by their client, a powerhouse in the Pharmaceuticals industry, to onboard a talented and innovative Data Scientist to join the team. This Data Scientist will help rocket the business into the future, masterfully crafting, launching, and fine-tuning cutting-edge Advanced Analytics Models. You will be the person behind transforming raw data into actionable insights, ensuring the organisation makes decisions that are not just informed but inspired. The Job:

• Data Modelling: End to end model development & refining, with best practice in mind
• Analysis delivery: Deliver Advanced analytics to support Commercial decision making
• System evolutions: Evolve Advanced analytics toolkit with new functionalities to better support the business
• Data Management : Ensure all data required for the advanced analytics are available, clean, consistent and documented
• Data cleansing: Eliminating noise and errors in data while ensuring consistency across areas
• Data delivery : Ensure all data required for the advanced analytics is available, clean, consistent, easily accessible and documented
• Anomaly detection & management: Identification of analysis areas of interest and investigation into these
• Support to business: Support the business with needed insights coming out of Advanced Analytics
• Team education: Educate the organisation on data, data science, Analytics, AI and data to improve data literacy across the business
• Data visualisation: Creation of optimised business views in Power BI to enable the business to make decisions using our data science models
• Data stack enrichment: Feed the data stack with new data sources and ensure this supports better decision making
• Advanced analysis improvements : Implement new analytical methods to improve business understanding through new ways to use data
• Data Science Roadmap: Ideate and help define our data strategy with new insights using new models, frameworks and capabilities that can be single-market or business wide
• Continuous Model Engineering: Ensure that model creation is not the end of the process – continual improvement & calibration is to be implemented

• Strong experience with regression, classification and clustering in complex data (sparsity, missingness, fast-changing, etc.) and business environments (LoE, competitive analysis, research horizon scanning, etc.) platforms (frameworks, techniques and libraries, expertise working with large data sets, end-to-end model building with a view to scale from the beginning)
• Expertise in writing models (and code) that is readable, documented, well tested and robust in production for scaling. Easy identification of model drift and rectification
• Expansive knowledge of the business & industry data ecosystem. Can determine and correct data quality issues as well as identification of additional data sources for inclusion in the pipeline
• Experienced in data management, governance, data & modelling lifecycles (ML Ops). Seek to improve model efficiency, performance, and scalability

• A passion for problem-solving and innovation: tackling key data problems experimenting with cutting edge DS, ML & AI techniques, frameworks and models.
• Eager & willing to learn new techniques, approaches and data science tools
• Not afraid to push boundaries, failing fast, establishing best practice with all development and has a keen interest in ethical & responsible model development (including knowledge of Data legislation e.g. GDPR)
• Advanced capability in data story-telling, bringing people on a journey using insights discovered in the data
• Good business acumen, teamwork, approachable & good business ethic as standard
• Project management skills, project estimation, ppt creation & presentation capabilities
• Entrepreneurial mindset, driven, organised & not phased by remote/virtual work