Open 7 monthsWe first saw this posting 212 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 15, 2026212 days ago
Recorded sightings
221
Last seen by us
Nov 13, 2026
Apr 15, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 212
860
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Artefact’s usual: its jobs come down by about day 36.
From 11,783 similar postings that came down, and 29 of Artefact’s. Coming down is not always a hire.
Artefact is hiring
51 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
AWS
Azure
GCP
Power BI
Tableau
Where the posting names them
What you will be doing?
As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass:
- Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets.
What we are looking for?
- Proficiency in Python, SQL, data science modeling, and statistical analysis.
- Strong grasp of ML algorithms and their implementation in real-world scenarios.
- Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
- Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.
What we are looking for?
- Strong grasp of ML algorithms and their implementation in real-world scenarios.
- Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS).
- Proven problem-solving skills and a solution-oriented mindset.
- Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes.
- Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
- Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Yes. We’ve followed 4 other Data Scientist jobs there since October 2025. One came down after 72 days. 3 are still up.
PuneCame down after 72 days, first seen Oct 26
BeirutStill up after 213 days, first seen Apr 15
DohaStill up after 213 days, first seen Apr 15
This jobUp 213 days so far, first seen Apr 15
DohaStill up after 86 days, first seen Aug 20
Oct 26Today
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
What you will be doing?
As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass:
Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets.
Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes.
Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.
What we are looking for?
Proficiency in Python, SQL, data science modeling, and statistical analysis.
Strong grasp of ML algorithms and their implementation in real-world scenarios.
Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS).
Proven problem-solving skills and a solution-oriented mindset.
Excellent communication skills to collaborate effectively within teams and with stakeholders.
Strong business acumen with an interest in business-facing roles.
Adaptability and a start-up mentality to thrive in a dynamic environment.
Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
Successful candidates often possess Computer Science, Electronics and Communication Engineering degrees.