At a Glance
- Tasks: Lead data-driven projects and develop algorithms to solve real-world business problems.
- Company: Join GSK, a pioneering company in consumer healthcare innovation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with exciting career advancement opportunities.
- Why this job: Be a key player in transforming healthcare with cutting-edge data science.
- Qualifications: Masters in Data Science or related field; experience with machine learning and data analysis.
Are you a Data Scientist looking for a new, exciting business critical opportunity? If so, read on… GSK are seeking a highly talented Data Scientist to join a passionate team working to support GSK Consumer Healthcare in its journey to becoming a more data-driven and innovative organisation. Data is a key tenet underpinning our transformation journey following the joint venture with Pfizer this year and our 3-year plan to become a separate company. As such, you have the opportunity to be a key driver of our success.
Key Responsibilities
- Have the ability to conceptualize, formulate, prototype and implement algorithms to capture customer behaviour and solve business problems.
- Ability to communicate complex data science concepts.
- Practical experience developing and implementing machine learning on large data sets.
- Knowledge in mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Understanding of statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.
- Explore cutting edge ML techniques to discover patterns and predictions to help solve customer needs.
- Contribute to complex and diverse projects to leverage Data Science techniques which will result in measurable commercial benefit.
What are we looking for?
- Masters Degree (Data Science, Maths, Science, Computer Science) or equivalent.
- Working knowledge of cloud based and local data science frameworks and toolkits.
- Exposure to Agile methodologies and the hypothesis-driven approach.
- Have a practical understanding of machine learning, Deep Learning.
- Strong experience with Time series forecasting (ARIMA, ETS, Prophet, TS pattern detection, and ML methods).
- Strong experience with Causal inference, Intervention analysis and Scenarios simulation.
- Experience in developing probabilistic models, Proficient understanding of probability and statistics (esp. Bayesian methods).
Diversity, Equity and Inclusion
In Consumer Healthcare we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We’re striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives.
As an Equal Opportunity Employer, we are open to all talent. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Data Scientist employer: Gsk
GSK is an exceptional employer located in Greater London, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Senior FinOps Product Manager, you will have the opportunity to drive impactful projects while benefiting from robust employee growth opportunities and a culture that values diverse perspectives. With a commitment to professional development and a focus on agile methodologies, GSK empowers its employees to thrive in their careers while contributing to meaningful advancements in cloud financial management.
