Data Scientist at Aspen Pharma Group

The Job

Constantly review and analyse supply chain data to identify opportunities to optimise OTIF, adherence to plan and cost targets from material supply to finished goods. Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation

Requirements

Background/experience

• 2 to 4 years’ relevant experience, preferably in planning, or analytics centre of excellence role
• Experience in data management and advanced analytics
• Postgraduate degree or diploma in a relevant field

Specific job skills

• Computer literacy with particular proficiency in programming and BI tools

Competencies

• Data management and data engineering skills to enable optimal data process and methodology
• Expertise in advanced analytics
• Excellent analytical and abstract reasoning skills, as well as problem-solving ability
• Ability to gather, synthesize, and analyze data using appropriate tools and technologies
• Must be a team player and able to work with and through others.

Responsibilities

Data analysis and reporting

• Create processes and methods to automate information gathering across the value chain
• Maintain and track accurate data to support supply chain decision making
• Review, streamline and automate all internal and external Supply chain reports
• Constantly review supply chain data and ensure necessary inputs are fed into the planning and production cycle
• Develop and maintain detailed process maps of key-value chain processes to assist with optimisation and simulation

Support Supply chain analytic Centre of excellence

• Descriptive-, Diagnostic-, Predictive- and Prescriptive analytics:
• Advise on optimum product rise and work centre allocation and improve level loading in work centres
• Obtain and analyze data to identify problematic areas and suggest improvements
• Use analysis results to improve supply chain processes, performance and to reduce costs.

Future Proof our Business

• Develop frameworks to identify the value of implementing advanced tools and technologies within the Aspen value chain (IOT, Big data, Blockchain, Machine learning, AI)
• Support the creation of LP/MIP capability within Aspen and create the framework/Tools for data engineering, digital twin, optimisation and simulation