Full time Full dayPosted Date: Jan 31 2024
Job PurposeThis role will be responsible for supporting Omnichannel Analytics & Insights Lead by generating insightful patterns on customer behaviour that improve customer engagement. Data Scientist will develop scalable processes and tools mechanisms to monitor and analyze the performance of omnichannel campaigns, conduct customer segmentation, and analyze channel & content effectiveness. The person will identify omnichannel opportunities, and initiatives for which analytical models can drive the development of an appropriate solution.
Education, Experience & Skills
Bachelor’s Degree in a relevant field such as Data/Computer Sciences, Statistics
Preferred: Master’s degree in business administration, or a relevant field such as data/computer sciences & statistic
1-3+ years of relevent experience, preferably in big data technologies & tools, cloud computing solutions such as AWS, Azure or Google Cloud or a software house
Ability to use statistical and machine learning techniques to analyze data and develop models that can predict future outcomes or identify patterns and trends in data
Ability to process, analyze, and derive insights from large and complex data sets that are too large to be processed by traditional data processing and analysis tools
Ability to use algorithms and statistical models to analyze data, discover HCP patterns, and make predictions or decisions
Ability to manage Azure administration, monitor Azure services like Databricks, Analysis services, Synapse, SQL server, ADF, ML, Storage Accounts
Ability to manage & execute projects using Agile delivery framework
Ability to implement automation using DevOps
Ability to design, implement, and maintain efficient and secure databases for storing, organizing, and managing large volumes of data; define best practices for Data governance & Data quality
Ability to collect, clean, transform, and reshape raw data (unstructured data) into a structured format suitable for analysis
Ability to manage complexity and effectively collaborate across teams, levels and functions
Ability to adapt rapidly to a changing context and priorities / ability to manage ambiguity
Ability to effectively articulate complicated information / data analysis in a way that others can comprehend
Expertise in Data engineering tools like Databricks, Data Build Tool, Azure Data Factory, Azure Synapse Analytics, CI/CD, Automated Testing, Data Lakes, DWH, Big Data, Collibra, Unity Catalog, Power BI
Working knowledge of Project Management tools like Jira, MS Projects
Working knowledge of Programming including CI/CD using Python, Spark, SQL, Scala
Working knowledge of CRMs like Veeva, Salesforce
Familiarity with Marketing automation tools like SFMC, Pardot
Familiarity with Web Analytics tools like Google Analytics, Adobe Analytics, AEM
Omnichannel Analytics & Insights
Applies knowledge of statistics, data modeling, data sciences and artificial intelligence to recognize patterns in customer behaviour, and make valuable discoveries that improve customer engagement
Establishes scalable, efficient, and automated processes for large scale data analyses/insights generation and model development, validation, and implementation
Conducts customer segmentation and performs continuous refinement on it
Generates insights on behaviour/preferences/needs of target HCPs from HCP social listening data to recommend next best action and deliver enhanced customer experience (CX)
Performance Tracking & Reporting
Design, execute, and analyze A/B tests to assess the impact of changes and innovations on key performance indicators.
Develops processes and tools to monitor and analyze the performance of omnichannel campaigns, channels, and content
Leverages knowledge of internal/external data sources to build a consolidated view on LOC’s (country) omnichannel effectiveness basis CX metrics, HCP feedback, survey responses, and campaign performance
Develop and implement predictive models using machine learning techniques to forecast customer behavior, sales trends, and other key metrics.
Collaborates with internal COEs to identify new approaches such as data science techniques and new data sources to power omnichannel analytics and activation opportunities
Work closely with cross-functional teams, including data analysts, data engineers and IT professionals, to gather requirements and align analytics solutions with business objectives.
Project Management and Support
Supports integration of omnichannel dynamics with broader analytics activities to help paint full picture of commercial execution and customer engagement/experience
Maintains, updates, and communicates documentation and knowledge of statistical methods and techniques
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
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