Hours

: Monday - Friday 09.00 -17.30

Salary: £70, - £80, basic + 20% bonus & comprehensive benefits

Key Activity:

* Collect & analyse large datasets
* Use statistical methods to extract insights
* Build predictive models & algorithms
* Database manipulation
* SQL Queries
* Development of reporting tools & dashboards
* Business analysis & reporting
* Insight process management
* Communicate findings to stakeholders
* Inform business strategy

Overview:

The Data Scientists will play a crucial role in leveraging data to drive business success. You will analyse complex datasets to uncover valuable insights, using advanced analytics & machine learning to solve business problems & optimise processes.

Through developing predictive models & algorithms, you will forecast trends & outcomes, supporting leadership with data-driven recommendations for strategic decision-making.

The role extends to improving products & services, enhancing customer experiences, & driving innovation through cutting-edge solutions.

This role will bridge the gap between technical analysis & practical application, translating complex findings into actionable insights that non-technical stakeholders can understand & implement.

Responsibilities:

* Identify, build, validate, optimise & manage complex models & data pipelines

* Generate & deliver new opportunities to improve customer experience via Data Science

* Data science life cycle management of products including deployment into production, testing, CICD, documentation & security considerations

* Be the expert in an area & use it to support & grow the whole team - eg specific models, Azure environment, PySpark code optimisation

* Coaching & mentoring junior colleagues & peers in Data Science practices

* Integration & analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities & answer ongoing business questions

* Champion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning plan

* Continuously look for innovative ways to improve products

* Good understanding & use of internal & external datasets & share this knowledge openly

* Promote the importance of data openly across the company

* Encourage collaboration & communication between teams across the delivery teams & promote a culture of giving, receiving & adapting

* Identify resolution paths & possible opportunities to solve unstructured problems & articulate specific research questions to form analytics project ideas & project plans to delivery

* Take responsibility for decisions that you make within your projects & able to clearly explain your reasoning.

Candidate Profile:

Candidates should possess similar experience in a Data Science capacity. Your skill set & experience is likely to include as many of the following as possible:

* SQL & Python coding skills using software development principles

* Deploying DS models in the cloud environment (Azure preferred)

* PySpark coding skills

* Azure cloud environment, Azure Databrick, Azure Data Factory, Azure DevOps

* Ability to reframe ambiguous business questions

* Define & execute hypothesis-driven analysis to address business issues

* Utilise complex statistical concepts in analysis

* Develop project plans to deliver a product that solves problems

* Database experience, combining internal & external data sources

* Statistical modelling methods - predictive modelling, trend analysis, unsupervised models

* Articulate ideas with non-technical language

* Demonstrate brilliant listening skills

: uniting opportunity with ambition in Telecoms | Media | Technology

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