Data Scientist

*Please note we cannot work C2C for this opportunity!*

IntePros is partnered with a global biopharmaceutical client to identify a Senior Data Scientist/Analyst to transform complex enterprise data into actionable business insights that drive strategic decision-making across operations. This role partners with leaders across Operations, Quality, Finance, IT, Data Science, and Business Intelligence to identify opportunities for process optimization, operational excellence, and measurable business impact

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• This role will require occasional travel up to once per mont

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• The ideal candidate combines advanced analytical and technical expertise with strong business acumen, using SQL, Python, and modern visualization tools to uncover trends, develop predictive models, and deliver executive-level reporting that supports continuous improvement initiativ

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• Responsibili
• tiesAnalyze current and historical enterprise data to identify strategic trends, operational insights, and opportunities for process improvement, cost optimization, and quality enhanceme
• nts.Translate complex analytical findings into actionable recommendations that support business strategy and operational performa
• nce.Perform ad hoc analyses to support executive leadership, strategic initiatives, and operational decision-mak
• ing.Validate data accuracy and ensure the integrity of analytical outputs used to measure financial and operational improveme
• nts.Develop statistical models, predictive analytics, forecasting tools, and automated analytical solutions that improve reporting efficiency and business outco
• mes.Apply advanced analytical methodologies to identify risks, opportunities, and performance trends across the organizat
• ion.Support experimentation and data-driven decision making through statistical analysis and predictive techniq
• ues.Extract, query, and analyze large, complex datasets from multiple enterprise systems using SQL and Pyt
• hon.Develop scalable analytical processes, reusable code, and automated reporting solutions that reduce manual effort and improve consiste
• ncy.Partner with data engineering and data science teams to identify and resolve data quality issues and ensure reliable report
• ing.Design, develop, and maintain executive dashboards, KPI reporting, and business intelligence solutions using Power BI, Tableau, Qlik Sense, or similar visualization platfo
• rms.Create compelling presentations and visualizations that communicate complex data in a clear, concise manner for senior leaders
• hip.Monitor key business metrics and provide ongoing insight into operational performa
• nce.Partner with Operations, Quality, Finance, Information Technology, Business Intelligence, and Data Science teams to understand business challenges and translate them into analytical soluti
• ons.Gather business requirements and recommend scalable, data-driven improvements that support enterprise objecti
• ves.Contribute to continuous improvement initiatives through data analysis, process optimization, and operational report

• ing.
• Qualifica
• tionsBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related discip
• line.5+ years of experience as a Senior Data Analyst, Business Intelligence Analyst, or in a similar analytics-focused
• role.2–4 years of experience applying advanced analytics, predictive modeling, statistical analysis, machine learning, or forecasting techniques to solve business prob
• lems.Advanced SQL skills, including experience writing complex queries, joins, common table expressions (CTEs), window functions, and stored procedures against large relational datab
• ases.Strong Python programming experience for data analysis, automation, statistical modeling, and reporting, including experience with libraries such as Pandas, NumPy, and Scikit-l
• earn.Experience developing dashboards, visualizations, and KPI reporting using Power BI, Tableau, Qlik Sense, or similar business intelligence platf
• orms.Experience working with enterprise data platforms and databases such as SQL Server, Oracle, Snowflake, SAP, or comparable sys
• tems.Knowledge of data visualization, ETL concepts, data validation, automation, and reporting best pract
• ices.Advanced proficiency with Microsoft Excel and PowerPoint for data analysis, reporting, and executive presentat
• ions.Experience working with large, complex enterprise datasets from multiple structured data sou
• rces.Demonstrated ability to translate complex analytical findings into clear, actionable business recommendations for senior leader
• ship.Strong analytical thinking, problem-solving, and communication skills with the ability to present technical concepts to both technical and non-technical audie
• nces.Proven ability to manage multiple priorities, work independently, and collaborate effectively across cross-functional teams in a fast-paced environ

• ment.
• Preferred qualific
• ationsMaster's degree in Data Science, Analytics, Statistics, Computer Science, or a related
• field.Experience within the biopharmaceutical, biotechnology, healthcare, manufacturing, or life sciences indus
• tries.Experience with cloud-based data platforms such as Snowflake, Microsoft Azure, AWS, or Google
• Cloud.Experience supporting executive leadership with strategic analytics and enterprise repo
• rting.Knowledge of predictive analytics, optimization techniques, A/B testing, and statistical experiment
• ation.Experience automating recurring reporting and analytical work
• flows.Experience with Git, Jupyter Notebook, Jira, ServiceNow, or Minitab is a

plus.