Ipsos tech stack
Ipsos builds mostly with Python, SPSS, SQL, Bash. Its stack also includes GCP, AWS, BigQuery, Google BigQuery. Python is named in 12 of the 21 job postings Ipsos published in the last 12 months (57%). Counted by Alion from the job postings of Ipsos, updated Sep 28, 2026.
What programming languages does Ipsos use?
Python is named in 57% of job postings at Ipsos, followed by SPSS (43%), SQL (38%), Bash (5%).
SPSS 
Stata What frameworks and libraries does Ipsos use?
NumPy is named in 5% of job postings at Ipsos, followed by PostGIS (5%).
What databases does Ipsos use?
BigQuery is named in 10% of job postings at Ipsos, followed by Google BigQuery (10%), PostgreSQL (5%), DynamoDB (5%).
BigQuery 
What cloud and platforms does Ipsos use?
GCP is named in 29% of job postings at Ipsos, followed by AWS (24%), Power BI (14%), Azure (5%).
GCP
6 29%
AWS
5 24%
Power BI
3 14%
Azure
1 5%
Azure DevOps
1 5%
GitHub Actions
1 5%
Kubernetes
1 5%
Show all (11)
What developer tools does Ipsos use?
Microsoft Excel is named in 29% of job postings at Ipsos, followed by Terraform (19%), Pulumi (14%), Git (14%).
Terraform
4 19%
Pulumi
3 14%
Git
3 14%
Ansible
1 5%
Argo Workflows
1 5%
QGIS
1 5%
Show all (9)
Which engineering practices does Ipsos ask for?
CI/CD is named in 14% of job postings at Ipsos, followed by ETL/ELT (10%), Configuration Management (5%), LLM Guardrails (5%).
What does each Ipsos team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
8 postingsHow does your stack fit Ipsos?
How is the Ipsos stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Ipsos stack?
Ipsos scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Ipsos stack in its industry?
Share of the 1,299 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Ipsos apart
Companies with a stack like Ipsos
Questions about the Ipsos tech stack
What programming languages does Ipsos use?
The languages named in Ipsos job postings are Python (57%), SPSS (43%), SQL (38%), Bash (5%), C++ (5%), as a share of the 21 postings of the last 12 months.
Does Ipsos use GCP?
Yes. GCP is named in 6 of 21 job postings (29%) and required in 6 of them.
What cloud and platforms does Ipsos use?
The cloud and platforms named in Ipsos job postings are GCP (6), AWS (5), Power BI (3) (postings in brackets).
What skills do you need for a Data Science job at Ipsos?
Data Science postings at Ipsos most often require Python (7), GCP (5), SQL (5), AWS (4), out of 8 postings in the last 12 months.
Is the Ipsos tech stack changing?
Yes. BigQuery, Google BigQuery, LLM, CI/CD first appeared in Ipsos job postings in the last six months.
How modern is the Ipsos tech stack?
Ipsos scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the Ipsos tech stack?
Alion reads every job posting Ipsos publishes and tags the technologies each one names. The figures on this page count the 21 postings of the last 12 months and were updated on Sep 28, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Ipsos tech stack: 41 technologies from 21 job postings", as of Sep 28, 2026. https://alion.io/company/ipsos/technologies