Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling.
As a data scientist at Endava.you should be able engage with these questions:
1 Explain the assumptions underlying a linear regression and why they matter.
2 How would you think about modelling the purchase decision for a personal computer (eg to build a recommendation engine)
3 Explain the difference between precision and recall and how one balances between them.
4 Explain Bayes Theorem. Compare Bayesian predictions with those from a Neural Net model.
Qualifications :
Key skills:
1. Methodology: Understanding pattern learning algorithms for regression and classification.
2. Modelling: Finding ways to represent the real world in simple ways that can be solved using numbers.
3. Measurement: Defining and tracking the right metrics to evaluate performance.
4. Probability (Advanced): Using probability theory to improve models and decisionmaking.
Typical Output: Models that predict behaviour with a high precision.
Typical Technologies: Jupyter Notebook Scikit Learn TensorFlow/Torch
Typical degree: Maths Science
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 valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear 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 passiton sessions workshops conferences;
- WorkLife 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.
Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
