Your Responsibilities:
The Data Scientist is accountable for driving projects and improvement activities through technical consulting and value delivery leadership, for a range of Vaccines GIO activities within GSK.
The Data Scientist will execute advanced computational approaches to build novel and innovative models using advanced analytics techniques, to solve challenging business problems; work with multi-disciplinary teams to ensure that models are translated into data solutions.
Advanced communications skills are critical for this role, with particular strengths required in distilling and communicating complex concepts, displaying information visually and making the patterns and insights revealed in data clear and compelling. They can communicate in language that all their stakeholders understand, and demonstrate the special skills involved in storytelling with data, both verbally and visually. They advise executives and product owners on the implications of the data for products, processes, and decisions and are highly skilled at rapidly building effective relationships with all levels of the organisational.
The Data Scientist will collaborate with others in GSK in experimentation in new and emerging data science technologies such as Machine/Deep Learning and Artificial Intelligence, exploit established statistical tools such as multi-variate regression analysis and utilise data modelling and optimisation tools.
The Data Scientist will leverage structured sources of enterprise data and unstructured external data to provide insights to accelerate process understanding and problem solving in manufacturing
The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools for building and implementing models, creating and using algorithms and simulations. They must have a proven ability to drive business results with their data-based insights.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes - data scientists make discoveries while swimming in data. It’s their preferred method of navigating the world around them. Data scientists realize that they face technical limitations, but they don’t allow that to bog down their search for novel solutions.
Key responsibilities:

• Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance
• Actively participate in all stages of model development from data collection, data quality control, model building, model validation, testing and calibration guidance to business leadership standards solving business problems products and experiences.
• Develop model monitoring plan, monitor statistical model performance, and provide technical
• Work with interdisciplinary product teams to design, develop, and optimize customer-impacting data solutions
• Continually learn new analytical skills, techniques and tools to maximise competitive advantage; participate in internal & external technology communities
• Communicate technical subject matter clearly and concisely to audiences of various backgrounds
• Provide guidance to data analyst
• Use excellent written, verbal communication and digital media skills for coordinating across teams and engaging and influencing stakeholders

• LI-GSK
  

Why You?
• Graduate in science, engineering, computing, statistics or similar mathematically based discipline

• Product configuration experience preferably with certification in respective areas of expertise (e.g ERP/SAP Certification)
• Expert knowledge and experience of Products ideally in a Vaccines manufacturing environment
• Knowledge of external & internal best practices relevant to aligned process area
• Higher Degree (Master, PhD) or relevant profession qualification in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the relevant software tools
• This role requires 2-5 years of experience manipulating data sets, building statistical models and engaging and influencing stakeholders
  

Preferred qualifications:
• Strong problem solving skills with an emphasis on product development.

• A drive to learn and master new technologies and techniques.
• Excellent written and verbal communication skills for coordinating across teams and engaging and influencing stakeholders
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
• Experience working with and creating data architectures
• Able to internalize business problems and to translate them into data solutions
• Knowledge and experience creating and using a variety of advanced machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge and experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Analytics skills: e.g. Descriptive statistical modeling and algorithms, Machine learning algorithms, Modeling dataset building, Optimization, Data visualization, Pattern, cluster, segmentation analysis
• Fluency in Python or R
• Additional tools or languages desirable: e.g.: SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Alteryx, Qlikview, Rapid Miner, Visual Basic, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, SQL language or SQL-like, Open source libraries,

If you require a reasonable adjustment to the application/selection process to enable you to demonstrate your ability to perform the job requirements you will have the opportunity to let us know what specific assistance you require. This will help us to make suitable arrangements to support you throughout our selection process.

Why GSK?:
GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer.
We have 3 global businesses that research, develop and manufacture innovative pharmaceutical medicines, vaccines and consumer healthcare products.
Vaccines – Our Vaccines business has a broad portfolio and innovative pipeline of vaccines to protect people of all ages. We deliver over two million vaccine doses per day to people living in over 160 countries.
For further information, please visit www.gsk.com
Our Department:
Once our pioneering treatments have been developed, they are manufactured to the highest standards and distributed across the regions that need them most. Accomplishing this as efficiently and quickly as possible can quite literally be a matter of life and death. So it's no wonder that more than 70% of our talented workforce is based within Global Industrial Operations - the essential business unit that manufactures and manages the entire vaccine supply process, from customer order to product dispatch on a global scale.
As the name suggests, it operates in a multi-national context across more than 17 sites around the world, working closely in tandem with colleagues from a variety of disciplines and professions.
The department is structured in operating units that focus on various aspects of the manufacturing and supply process. These include Industrialisation (overseeing the transfer of production from R&D to a commercial level), Supply Chain Management and Technical Services.
At GSK we provide a supportive working environment, and a range of development challenges and opportunities. We also offer competitive benefits and compensation packages designed to attract and to retain the very best.
At GSK we value diversity and treat all candidates equally. We aim to create an inclusive workplace where all employees feel engaged, supportive of one another, and know their work makes an important contribution.

Contact information:
You may apply for this position online by selecting the Apply now button.

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