Data Scientist
Location: Home Counties - Remote work with occasional trips to the office
£40k - £50k
VR/02906R


We are looking for an experienced Data Scientist to join our client's growing team. Ideally we are looking for 3+ years of experience. The Data Analytics team is a growing part of the business and this is a great opportunity to grow with the Team.

As a growing business area, the ideal candidate will have the opportunity to help shape the technical and business landscape, whilst delivering a variety of challenging projects.

Your primary focus as a Data Scientist will be the mining of data and statistical analysis in order to unlock complex datasets. You will be able to develop predictive models and demonstrate the math and statistics behind them in order to interpret and explain the model behaviour to both business and technical stakeholders. In addition, you will be experienced in the agile design and implementation of test models which ensure that exacting quality specification are met. In addition, as a Data Scientist you will also take responsibility for the application of NLP and machine learning techniques which assist their clients in improving and extending classification and predictive capabilities.

In return they offer a competitive salary and benefits package which includes a competitive pension plan, generous holiday allowance, private medical insurance, performance-related bonus. They have a strong training and accreditation ethos and look to support career development through formal training opportunities and exciting project assignments.

To apply you must:
Have 3+ years of experience in Data Science roles, or equivalent, which demonstrate proficient experience in technologies and mythologies such as:
Python: scikit-learn, pandas, matplotlib
R, Studio, Shiny
SQL
Spark.
Demonstrate data visualization skills to communicate the results of analysis, utilising an array of suitable tooling such as:
PowerBI,
Tableau
Qlik
Hands on knowledge of building NLP and machine learning models to enable predictive analysis.
Educated to graduate level or a professional equivalent. Ideally PhD or MSc in Computer Science, Mathematics, Physics, Operations Research, Statistics, Econometrics or equivalent.
Ideally supported by further experience with technologies and methodologies such as utilising cloud-based technology and infrastructure to operationalise pipelines - hosted via IaaS and PaaS