Data Scientist

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 were 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 perspectivesbecause 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.

Remote Work :

No

Employment Type :

Full-time