AI Analyst and Developer

GSK; Warszawa; On-site; PLN 228,000 - 380,000; Full time

Job summary

GSK invites a data analytics professional to act as the technical engine of the Analytics & AI pillar. You will leverage AI to automate R&D master data processes and derive insights from data, bridging business needs with technology across ERP, PLM, and RIM systems.

You will shape advanced data prep, AI development, and BI visualization, delivering interactive Power BI dashboards for R&D leaders while upholding governance and GxP standards. Hybrid work in Poland is supported.

Qualifications

• Bachelor’s degree in a quantitative field (Data Science, CS, Stats, Math, Engineering).
• 3–5 years in data analytics, BI development, or data engineering with AI experience.
• Experience with Microsoft Azure stack; Databricks is a must.
• Python, PySpark, and SQL programming skills.
• Ability to translate scientific data requirements into technical specs for IT.
• Knowledge of GitHub and data governance awareness.
• Analytical problem solving and agile collaboration with AI teams.

Responsibilities

• Leverage AI to automate R&D master data processes and predictive analytics.
• Perform advanced data preparation, profiling, and transformations from ERP/PLM/RIM systems.
• Develop AI PoCs and translate business requirements into technical solutions.
• Design, build, and deploy Power BI dashboards for E2E Data Stewardship Hub.
• Ensure models and dashboards comply with data governance and GxP standards.

Skills

Python

PySpark

SQL

GitHub

Agile

Analytical

English

Langchain

Education

Bachelor's degree in Data Science / CS / Statistics

Tools

Databricks

Azure

Power BI

Job description

GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together.

Find out more: Our approach to R&D.

Position Summary:

In this role you will act as the technical engine of the Analytics & AI pillar. The primary purpose of the role is to leverage AI to automate R&D Master Data (Project, Product and Substance) related processes, and predictive analytics to derive insights from data. The role also requires analyzing data, drawing appropriate conclusions and deriving insights. This role acts as the bridge between our team and Tech, ensuring to anchor our requirements into reality, and feasibility.

Responsibilities:

Advanced Data Preparation & Analysis (Main Focus):

• Utilize Python/PySpark and SQL to extract, clean, and structure complex R&D master data from multiple enterprise systems (e.g., ERP, PLM, RIM) and perform necessary transformations
• Perform deep-dive data profiling to identify hidden anomalies, root causes of data friction, and recurring quality issues within Project, Product, and Substance domains.

AI Development & Analysis (Main Focus):

• Performing feature engineering, structuring training datasets, and writing Python scripts required for the development of AI PoCs.
• Gather business requirements, perform analysis of requirements, translate them into technical requirements.
• Assist in deploying lightweight predictive algorithms (e.g., duplicate detection scripts) directly into the Power BI ecosystem or through upstream data preparation layers

Development & Visualization (Support Focus):

• Assist in designing, building, and deploying interactive Power BI dashboards that serve as the daily operational radar for the E2E Data Stewardship Hub and R&D business leaders.
• Translate qualitative feedback from Data Stewards and Coordinators into tangible dashboard features that actively reduce their daily manual workload.
• Assist in deploying lightweight predictive algorithms (e.g., duplicate detection scripts) directly into the Power BI ecosystem or upstream data preparation layers.

Compliance & Data Governance:

• Ensure all analytical models, scripts, and BI dashboards adhere to enterprise data governance policies and GxP documentation standards.

Ability to support MDM Experts:

• Ensure ability and capacity to perform the tasks of the MDM experts to support when needed, but also to lead the automation of these tasks with greater precision and independence.

Why You?

Work arrangement: This role is based in Poland and is offered on a hybrid working basis. You will be expected to work on-site part of the week in line with team and business needs.

Basic Qualifications & Skills:

• At least bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, a Life Sciences discipline with a strong quantitative focus or related field
• 3 to 5 years of professional experience in data analytics, BI development, or data engineering, with proven experience in implementing AI solutions
• Experience in implementing projects & solutions using Microsoft Azure stack, must have are Databricks
• Python, PySpark and SQL programming skills
• Technical Translation: Ability to translate complex scientific data requirements into clear, executable technical specifications for IT developers.
• Knowledge of GitHub
• Analytical Problem Solving: A proactive mindset capable of looking at a messy dataset and independently figuring out how to structure it for both reporting and future machine learning.
• Agile Collaboration: Comfortable working in short, iterative sprints alongside AI engineers, Process Architects, and business stakeholders.
• Fluent English skills

Preferred Qualifications & Skills:

• Experience with implementing GenAI solutions in Databricks
• Experience with Langchain
• Experience working with master data or R&D data within the Pharmaceutical, Biotech, or Vaccines industry.
• Industry Knowledge: Strong understanding of pharmaceutical data standards, GxP regulations, and ideally exposure to ISO IDMP frameworks.
• Fluency in Polish language

Skills

Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models

Polish Salary Range / Polski przedział wynagrodzenia: PLN 228,000 to PLN 380,000The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of f