Statistician – London – Circa 80K Plus Benefits
This is a cutting edge statistical opportunity to work with a leading online company based in Central London.
The role requires an experienced technical modeller who is passionate about using advanced analytic techniques such as predictive modelling, data mining and optimisation algorithms .
You will lead innovative statistical predictive approaches to solving optimization problems.
Perform analyses, statistical design, statistical coding, and model validation in support of other requirements.
Generate statistical code that executes in an autonomous production environment and fully considers error handling, exception conditions, etc.
Develop artificial intelligence and machine learning around model validation and of statistical routines.
Ensure best practices are adhered to regarding methodology (prototype formulation and testing, data
We're looking for someone passionate, entrepreneurial, and curious, with experience in a modelling or analyst role, someone with high energy and creativity and an openness to new ideas/approaches.
Master’s degree (Ph.D. preferred) in quantitative discipline such as statistics, economics, applied mathematics, quantitative methods, operations research, research methodology, etc.
Comprehensive understanding of Bayesian methods, decision trees and Markov chains.
Experience in several of the following areas: predictive modelling (including ARIMA and regression techniques), neural nets and self-learning models (including classification of skewed data), linear and non-linear optimization, etc.
Strong proficiency in SAS/SPSS/R and demonstrated ability to produce both ad hoc analyses and production-grade analytic jobs that execute autonomously.
Functional proficiency in SQL/C/C++/VB preferred.
If you fit the above job description please contact Roisin McCarthy on 01256 314 660 or email her on [log in to unmask]
Alternatively you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
You may leave the list at any time by sending the command
to [log in to unmask], leaving the subject line blank.