Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026.
Overview
Company
Impact
Profile match
DAZN is a London company founded in 2015 that streams live sport directly to consumers in more than two hundred markets. It builds its own video delivery, rights management and betting integrated products rather than licensing a platform. The company holds major football, boxing and motorsport rights and employs large engineering teams in Europe.
About the Role:
We are looking for a Senior Data Scientist with strong hands-on expertise in Python, SQL, AI/ML and at least one specialization such as GenAI/LLMs, Deep Learning, NLP, Computer Vision, Recommendation Systems or Forecasting.
Key Responsibilities
- Own end-to-end Data Science/ML solutions from problem definition to production.
- Develop, optimize and deploy production-grade ML/AI models.
- Apply advanced Python, SQL, statistics, ML and deep-learning techniques.
- Work on GenAI/LLM, RAG, NLP, recommendation or other AI use cases as relevant.
- Build scalable ML pipelines and contribute to system/solution architecture.
- Work with cloud and MLOps for deployment, monitoring and model lifecycle management.
- Perform experimentation, model evaluation, error analysis and continuous improvement.
- Partner with engineering/product teams to deliver measurable business impact.
- Mentor junior/mid-level Data Scientists and contribute to technical best practices.
Skills, Knowledge & Expertise
- 5+ years in Data Science / ML / AI.
- Advanced Python & SQL.
- Strong ML/statistics fundamentals with deep implementation experience.
- Expertise in at least one AI/ML specialty.
- Production ML experience.
- Strong cloud/MLOps understanding.
- Good system-design exposure.
- Strong problem-solving and stakeholder communication skills.
Preferred
- PyTorch/TensorFlow, Scikit-learn, XGBoost/LightGBM, AWS/Azure/GCP, Docker, Kubernetes, MLflow, CI/CD, RAG, LLMs, vector databases and LLM evaluation.
What We Expect
A senior practitioner who can design, build, productionize and own ML/AI.
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