Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 56.
At Endava, jobs usually come down by about day 32.
From 10,194 similar postings that came down, and 85 of Endava’s. Coming down is not always a hire.
Data Scientist
Córdoba, Cordoba, Argentina
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild similar-symbol models (clustering or co-occurrence) on aggregate trading data
Develop propensity models scoring customers' likelihood to adopt new products
Explore models linking significant price moves to news events
Validate models and set score thresholds, defining features and evaluation metrics
Analyze content and in-app engagement data to find drop-off and top-performing content
From the employer’s posting
Build similar-symbol models (clustering / co-occurrence) on aggregate trading data
Develop propensity models that score customers’ likelihood to adopt new products
Explore models linking significant price moves to news events
Define features, training data and evaluation metrics; validate models and set score thresholds
Analyze content and in-app engagement data to identify drop-off and high-performing content
What you’ll bring
All qualificationsCore experience
- 4+ years in applied data science, with models deployed to production
- Strong Python and SQL
- Experience with scikit-learn, XGBoost/LightGBM or similar
- Recommendation systems, clustering and propensity/classification modeling
- Experimental design and model evaluation (A/B testing, calibration, drift)
Qualification wording
Must have 4+ years in applied data science, with models deployed to production
Strong Python and SQL
scikit-learn, XGBoost/LightGBM or similar
Recommendation systems, clustering and propensity / classification modeling
Experimental design and model evaluation (A/B testing, calibration, drift)
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 3
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Endava is hiring
66 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 35% of open jobs were reposted
See how this role fits your experience
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
- LightGBM
- scikit-learn
- XGBoost
Where the posting names them
- 4+ years in applied data science, with models deployed to production - Strong Python and SQL; scikit-learn, XGBoost/LightGBM or similar - Recommendation systems, clustering and propensity / classification modeling
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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- Uploading your resume fills in the application form for you, so check what it filled before you send.
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Has Endava posted this job before?
Yes. We’ve followed 2 other Data Scientist jobs there since November 2026. All 2 are still up.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Description
We are seeking a Data Scientist to design, build and validate the machine learning models behind personalization features in our new mobile trading app, working within guardrails set by our Compliance team.
What they will do
- Build similar-symbol models (clustering / co-occurrence) on aggregate trading data, including minimum-activity thresholds
- Develop propensity models that score customers’ likelihood to adopt new products, from day one of the customer lifecycle
- Explore models linking significant price moves to news events
- Define features, training data and evaluation metrics; validate models and set score thresholds
- Analyze content and in-app engagement data to identify drop-off and high-performing content
- Hand off production-ready models to ML Engineers and document methodology and assumptions
Qualifications
Must have
- 4+ years in applied data science, with models deployed to production
- Strong Python and SQL; scikit-learn, XGBoost/LightGBM or similar
- Recommendation systems, clustering and propensity / classification modeling
- Experimental design and model evaluation (A/B testing, calibration, drift)
- Ability to explain modeling choices clearly to product and compliance stakeholders
Nice to have
- Brokerage, trading or other financial services experience
- Knowledge of options and equities markets
- Product analytics data (e.g. Amplitude)
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Córdoba, Cordoba, Argentina
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; - Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; - Health: Global internal wellbeing programme, access to wellbeing apps;
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.