Data Scientist

Recruiter
Asure Recruit
Location
Whitstable
Posted
01 Nov 2018
Closes
09 Dec 2018
Contract Type
Permanent
Hours
Full Time
Job Title: Data Scientist

Location: Tunbridge Wells/Chesterfield/ London/Whitstable

Salary: £55,000 - £70,000 depending on experience + an excellent benefits package.

About Our Client

In this role you will create value from the Group’s Azure-based data analytics platform by applying advanced statistical techniques, machine learning and predictive modelling. Contribute to the Group’s desire to become a data-led organisation. Enhance the platform’s capabilities to deliver a wide range of business objectives.

Key Responsibilities:

The Data Scientist will be responsible for:

* Actively seeking and identifying where data science can provide value to business areas across the Group.
* Engaging with stakeholders to define and model business problems and solutions.
* Developing programmes of data innovation that contribute to the Group’s competitiveness and profitability.
* Identifying sources of information that can extend the Group’s datasets.
* Communicating outcomes to business users as actionable insights and helping to integrate these outcomes with other systems.
* Complying with Group information security policies and procedures and other relevant standards and regulations.
* Working alongside the Azure architecture function to prioritise and deliver business requirements.

Key Competencies:

* A structured, organised approach to solution design and development.
* Ability to focus on key tasks while retaining flexibility over priorities.
* Excellent communication skills and ability to work well within a result driven team.
* Ambition and skills to develop into team leadership.

Key Skills and Knowledge:

* Proven experience in data science and data analysis.
* Thorough understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, distributions, clustering, simulation and scenario analysis.
* Knowledge of Azure data components.
* Experience of data structures and schemas, data preparation and cleansing.
* Wide experience of machine learning techniques and libraries.
* Excellent knowledge of data science toolkits and languages.
* Experience of data exploration and visualisation tools.
* Good knowledge of data query languages.
* Experience of data integration services and ETL.
* Analytical and problem-solving aptitude.
* Good communication and presentation skills.
* Qualifications in Data Science or another quantitative field

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