Job at a Glance
- 📍 Location: Dubai, United Arab Emirates
- 🏢 Company: Nameless Ventures
- 💼 Employment Type: Full-time
- 📊 Seniority: Associate
- 🗂️ Function: Analyst
- 🏭 Industry: Staffing and Recruiting
- 📅 Date Posted: 2026-08-10
- 🌐 Category: Artificial Intelligence
About the Role & Company
Nameless Ventures is hiring a Data Scientist in Dubai, United Arab Emirates. The role sits inside a Artificial Intelligence team that’s actively expanding its footprint in the region. The upside for a the right person is straightforward: growing teams promote from within more often than mature ones. The scope reads like a standard Data Scientist brief on paper; in a growing team it usually stretches wider than the JD. Compensation for artificial intelligence roles in Dubai has stayed strong, and the zero-income-tax structure meaningfully lifts take-home. Anyone at the mid-level should read this as a chance to broaden scope; anyone earlier in their career gets meaningful work sooner than most training paths would offer.
Key Requirements
- internship and graduate experience is absolutely fine
- Experience building and evaluating
- Proven track record with 15K AED per month, depending on experience + a 10% performance
Job Description
I’m currently partnering with a fast-growing B2B SaaS iGaming company building AI-powered products for the gaming industry, who are looking for a
Junior Data Scientist to join their team in
This is a hands-on Data Science role working closely with
Data, Engineering, Product, and the wider business , using machine learning and data to build intelligent solutions and solve real-world business problems. 🛠️ What You’ll Be Doing: • Build, train, and evaluate machine learning models to solve real-world business problems. • Analyse and preprocess datasets using
Python, Pandas, and NumPy . • Apply feature engineering, statistical analysis, and predictive modelling techniques to improve model performance. • Build and experiment with machine learning and deep learning solutions using frameworks such as
Scikit-learn, TensorFlow, and PyTorch . • Perform exploratory data analysis (EDA) to identify patterns, trends, and actionable insights. • Work closely with Engineering, Product, and Data teams to integrate models and data-driven solutions into products. • Support the continuous evaluation, optimisation, and improvement of existing models. ✅ What We’re Looking For: • 0-3 years’ experience in Data Science, Machine Learning, or a related field – internship and graduate experience is absolutely fine . • Strong programming skills in
ATS Resume Tips for This Role
To get past Applicant Tracking Systems (ATS) for this Data Scientist opening, tailor your resume with the pointers below:
- Include these keywords verbatim in your Skills and Experience sections: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, LLM, MLOps, Statistics, NLP, Computer Vision. ATS parsers match exact strings, not synonyms.
- Use a single-column layout. Two-column resumes break parsers — text gets scrambled or dropped.
- Save as .docx or standard .pdf (not scanned/image PDF). Avoid text boxes, headers, footers, graphics.
- Use standard section headings: Experience, Education, Skills, Certifications.
- Mirror the exact job title (Data Scientist) in your target role line where truthful.
- Quantify results with numbers, percentages, currency. Metrics improve ATS scoring and human review.
- Spell acronyms out once (e.g., Search Engine Optimization (SEO)) so parser catches both forms.
- Font: Arial, Calibri, or Times New Roman at 10-12pt. Fancy fonts can render as unreadable glyphs.
Top 10 Interview Questions for This Role
- Walk me through your background and why you’re interested in this role.
- Describe a challenging project you owned end-to-end. What was the outcome?
- Tell me about a time you disagreed with a stakeholder. How did you handle it?
- How do you prioritize when everything on your plate feels urgent?
- How do you decide between fine-tuning a model vs. prompt engineering?
- Explain overfitting to a non-technical stakeholder.
- Walk through your data validation pipeline for training data.
- How do you evaluate model performance beyond accuracy?
- Describe your MLOps setup — from experimentation to production.
- How do you handle model drift once a system is in production?
How to Apply
#DubaiJobs #AIJobs #ArtificialIntelligence #Hiring #DubaiAI #JobAlert #Get9to5Jobs
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