Data Scientist

2 days ago

Glasgow, Glasgow City, United Kingdom MBN Solutions Full time

Data Scientist (Pharma)

Remote Opportunity

Competitive Salary up to £75k

MBN Solutions is seeking a talented Data Scientist to join their client, a leading Pharmaceuticals company, in a fully remote role. As a key member of the team, you will be responsible for crafting, launching, and fine-tuning cutting-edge Advanced Analytics Models to drive business growth.

The Job:

  • Data Modelling: Develop and refine end-to-end models with best practices in mind.
  • Analysis Delivery: Deliver Advanced analytics to support Commercial decision making.
  • System Evolution: Evolve Advanced analytics toolkit with new functionalities to better support the business.
  • Data Management: Ensure all data required for Advanced analytics are available, clean, consistent, and documented.
  • Data Cleansing: Eliminate noise and errors in data while ensuring consistency across areas.
  • Data Delivery: Ensure all data required for Advanced analytics is available, clean, consistent, easily accessible, and documented.
  • Anomaly Detection & Management: Identify analysis areas of interest and investigate 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: Create 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.

Requirements:

  • 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.

Desired Skills:

  • Microsoft Technology Stack experience sought (Azure Data Lake, Databricks, Azure ML, Power BI), and capabilities of programming in and understanding R & Python.
  • 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.

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