Data Scientist
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Permanent
Technology
South East
Hybrid
Negotiable, dependent upon experience
DataScience_10.24
Data Scientist
Python, SQL, PySpark, Cloud, Azure Databrick, Data Factory, DevOps
Hybrid working, Work from Home, Remote working, 1 day a week in Slough, Berkshire
@mecscomms is recruiting for a Data Scientist to solving complex business problems with cutting-edge modelling techniques, deploying data products at scale using Azure, Databricks, PySpark & collaborating with cross-functional teams to drive data-informed decisions. As a Data Scientist, you’ll be working across multiple areas including physical stores, online operations, stock management, finance & of course marketing. If you have experience in Python programming, PySpark & expertise in using Databricks, Azure Data Factory & Azure DevOps, I’m keen to hear from you!
Position: Business Intelligence, Big Data, Data Analyst, Data Manipulation, Insight Developer, Reports Developer, Business Analyst, Analyst Programmer, Application Developer, Automation, Data Integrity, Data Modelling, Reporting
Purpose: The Data Scientists will analyse complex datasets to extract insights, solve business problems & develop predictive models, ultimately supporting decision-making & driving innovation across the organisation. The role holder will leverage advanced analytics & machine learning to optimise processes, improve products & services & communicate actionable insights to stakeholders, translating complex findings into strategic recommendations.
Technology: Python, SQL, PySpark, Azure cloud environment, Azure Databrick, Azure Data Factory, Azure DevOps, Statistical modelling methods, Predictive modelling, Trend analysis, Unsupervised models, Database management, Data pipeline development, CICD, Data integration from multiple sources, Data visualisation, Agile methodology, Software development principles
Location: 4 days per week - work from home, remote working, home based.
1 day per week – hybrid from an office in Slough, Berkshire
Nature: Permanent, Full Time
Hours: Monday – Friday 09.00 -17.30
Salary: £70,000 - £80,000 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 lifecycle 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 – e.g. 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 skillset & 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
Python, SQL, PySpark, Cloud, Azure Databrick, Data Factory, DevOps
Hybrid working, Work from Home, Remote working, 1 day a week in Slough, Berkshire
@mecscomms is recruiting for a Data Scientist to solving complex business problems with cutting-edge modelling techniques, deploying data products at scale using Azure, Databricks, PySpark & collaborating with cross-functional teams to drive data-informed decisions. As a Data Scientist, you’ll be working across multiple areas including physical stores, online operations, stock management, finance & of course marketing. If you have experience in Python programming, PySpark & expertise in using Databricks, Azure Data Factory & Azure DevOps, I’m keen to hear from you!
Position: Business Intelligence, Big Data, Data Analyst, Data Manipulation, Insight Developer, Reports Developer, Business Analyst, Analyst Programmer, Application Developer, Automation, Data Integrity, Data Modelling, Reporting
Purpose: The Data Scientists will analyse complex datasets to extract insights, solve business problems & develop predictive models, ultimately supporting decision-making & driving innovation across the organisation. The role holder will leverage advanced analytics & machine learning to optimise processes, improve products & services & communicate actionable insights to stakeholders, translating complex findings into strategic recommendations.
Technology: Python, SQL, PySpark, Azure cloud environment, Azure Databrick, Azure Data Factory, Azure DevOps, Statistical modelling methods, Predictive modelling, Trend analysis, Unsupervised models, Database management, Data pipeline development, CICD, Data integration from multiple sources, Data visualisation, Agile methodology, Software development principles
Location: 4 days per week - work from home, remote working, home based.
1 day per week – hybrid from an office in Slough, Berkshire
Nature: Permanent, Full Time
Hours: Monday – Friday 09.00 -17.30
Salary: £70,000 - £80,000 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 lifecycle 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 – e.g. 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 skillset & 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
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