Data Scientist

Mississauga Milverton Drive

GSK

At GSK, we unite science, technology and talent to get ahead of disease together

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Location: This role is based in our Mississauga office in Canada, with a hybrid work schedule.

About Us: GSK is one of the world's preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Technology, Data & Analytics teams integrate, simplify, and unlock all our data. This drives innovation, digital fluency, and data driven decision-making, and allows us to better serve our patients, healthcare professionals, and consumers.

Basic Qualifications:

  • Bachelor's degree in computer science, statistics, mathematics, engineering, or a related field, with 6+ years of indicative experience in developing product-level ML algorithms (4+ with a Masters)
  • Strong written and verbal communication skills
  • Strong knowledge of business analytics methods (e.g., regression analysis, forecasting, AB testing, customer segmentation, …).
  • Ability to translate analysis and modeling into insightful narratives is key
  • Experience in managing stakeholders and offshore teams, strong execution ability to run and manage end-to-end analytical projects and deliver meaningful insights and actionable recommendations
  • Understanding and implementing ethical AI practices
  • Strong collaboration skills to work effectively with cross-functional teams
  • Excellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modeling, data and text mining, NLP, machine learning algorithms on structured and unstructured data, at scale
  • Applied research experience in machine learning techniques: supervised/unsupervised, deep learning, classification, clustering, and time-series forecasting to forecast sales, customer behavior, and market trends
  • Experience with cloud platforms such as Azure, Databricks (Genie, Lakehouse IQ, Unity Catalogue). Specifically in deploying machine learning models and managing data pipelines
  • Hands on experience using Apache Spark, Python, R, SQL (Databases & language) and Data Visualization tools (PowerBI)
  • Demonstrated experience with GPT-4, image and text generation models, and OpenAI

Preferred Qualifications:

  • Master's degree in computer science or a related field (see the fields listed above), with 4+ years of indicative experience in developing product-level ML algorithms
  • Substantial knowledge in statistics and probabilities is required
  • Ability to work independently and prioritize effectively.
  • Extensive Python coding experience exceeding 4,000 hours is preferred. Interviews will test knowledge of Python
  • Expertise in all regression modeling techniques (multi-variate and logistical)
  • Ability to stay updated with the latest advancements in AI and data science, and the ability to quickly adapt to new tools and technologies
  • Experience in applying AI to real-world problems, such as improving field-force effectiveness
  • Experience working with commercial datasets like sales reports, CRM data, customer feedback, market analysis data, or digital marketing metrics (e.g., Google Ads, social media).
  • Familiarity with key market research reports from sources like IQVIA, and Gartner plus have awareness on emerging trends like digital health, telemedicine, personalized medicine, and AI in healthcare.

Responsibilities:

  • Peruse GSK’s dataframes and use the insights attained to develop actionable initiatives that have a high likelihood of increasing ROAS, ROI, market share or cash flow.
  • Collaborate and partner effectively with various stakeholders across the enterprise, including Marketing, Commercial Insight, Marketing, Medical, Regulatory, Salesi, Finance and Managed Market teams across Canada and Global teams to formulate analysis plans.
  • Conduct cross portfolio ad-hoc analyses (e.g. marketing mix, test/control, subnational trend assessment) according to US Pharma’s business needs, and in support of US enterprise workstreams.
  • Create presentations and communicate results/findings to internal stakeholders

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

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 organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

GSK is an equal opportunity employer committed to diversity and inclusion.  We welcome applications from all qualified individuals to apply to our career opportunities. GSK is committed to accommodating persons with disabilities. If you need accommodation at any stage of the application process or want more information on our accommodation policies, please contact us at canada-recruitment@gsk.com.  Please do not send resumes to this e-mail and instead apply through the online application process of this posting.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.


 

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Category: Data Science Jobs

Tags: Azure Business Analytics Classification Clustering Computer Science Data analysis Databricks Data pipelines Data visualization Deep Learning Engineering Finance GPT GPT-4 Machine Learning Market research Mathematics ML models NLP OpenAI Pharma Pipelines Power BI Python R R&D Research Spark SQL Statistical modeling Statistics Testing Unstructured data

Region: North America
Country: Canada

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