Head of Analytics and Data Science - MarCom

Recruiter
Michael Page Technology
Location
Somerset
Salary
70000.00 - 85000.00 GBP Annual
Posted
14 Apr 2021
Closes
16 Apr 2021
Position/Level
Professional / Specialist
Responsibilities
Information Technology
Contract Type
Permanent
Language
English

Client Details

Global MarCom organisation

Description

Global MarCom organisation require a Head of Analytics and Data Science to drive analytics innovation and best practise within the company and for clients worldwide. You will be pivotal in building and mentoring a commercially focused analytics team utilising analytical and machine learning techniques to deliver data driven solutions to clients. The role will focus on realising the strategy and ensuring client deliverables are met to standard and on time. As Head of Analytics and Data Science you will be responsible for the full analytics and data science life cycle, from problem identification to model deployment and operations.

Key Responsibilities:

  • Lead the Analytics and Data Science team which delivers Insight and Machine Learning capabilities to provide strategic actionable insight and data products to drive growth for clients
  • Develop strategies, operating models, roadmaps and business cases for data science and analytics applications
  • Lead the relationship between stakeholders and team members and the full end to end project delivery, which includes, business requirements, planning, design, development and implementation of Data Science and Analytics projects.
  • Work closely with client managers and relevant stakeholders to deliver insightful analysis to clients
  • Establish and maintain end to end data quality framework to ensure data assets and models are accurate and comply with high quality data standards
  • Track and resolve risks, issues, and action items throughout project life cycle
  • Play a key role in defining, building and managing the data science and analytics platform that enables the end to end development of analytics, insights, data mining and machine learning
  • Problem-solve with product and client teams, advise on how to leverage data science across the company and for clients
  • Help guide the development of internal analytics and data science products.
  • Work with lead data scientists to develop technical solutions, frameworks and methodologies to solve key business problems and challenges

Key Experience, Skills and Knowledge:

  • A degree or equivalent in a numerical subject such as Data Science, Computer Science, Mathematics, Engineering
  • Knowledge of commonly used data science and analytics platforms, such as AWS Sagemaker, Data Bricks etc
  • Familiar with common data science frameworks such as Spark MLib, TensorFlow, Keras etc
  • Experience of using one or more programming languages, R, Python, Scala, Java and SQL.
  • Experience of leading a team that have delivered Machine learning outputs and knowledge of techniques like random forest, gradient boosting, collaborative filtering etc
  • Experience managing the end to end analytics and machine learning life cycle
  • A collaborative leader with strategic acumen and problem-solving skills, able to inspire and motivate colleagues as well as work alongside them as required
  • Demonstrable creativity and a commitment to future-proofing service and delivery in a fast paced, ever-changing environment
  • A forward-thinking individual with good knowledge of products and services available (vendors and technology) to help maximise the value possible through the combination of technology with data science
  • Excellent communication skills, both written and verbal. Ability to present complex or highly technical issues in simple and easy-to-understand formats, for technical and nontechnical audiences
  • Ability to build strong relationships and influence decisions with internal and external stakeholders at all levels
  • A good understanding of agile product development and software development life cycle
  • An ability to think and plan strategically

Profile

  • A degree or equivalent in a numerical subject such as Data Science, Computer Science, Mathematics, Engineering
  • Knowledge of commonly used data science and analytics platforms, such as AWS Sagemaker, Data Bricks etc
  • Familiar with common data science frameworks such as Spark MLib, TensorFlow, Keras etc
  • Experience of using one or more programming languages, R, Python, Scala, Java and SQL.
  • Experience of leading a team that have delivered Machine learning outputs and knowledge of techniques like random forest, gradient boosting, collaborative filtering etc
  • Experience managing the end to end analytics and machine learning life cycle
  • A collaborative leader with strategic acumen and problem-solving skills, able to inspire and motivate colleagues as well as work alongside them as required
  • Demonstrable creativity and a commitment to future-proofing service and delivery in a fast paced, ever-changing environment
  • A forward-thinking individual with good knowledge of products and services available (vendors and technology) to help maximise the value possible through the combination of technology with data science
  • Excellent communication skills, both written and verbal. Ability to present complex or highly technical issues in simple and easy-to-understand formats, for technical and nontechnical audiences
  • Ability to build strong relationships and influence decisions with internal and external stakeholders at all levels
  • A good understanding of agile product development and software development life cycle
  • An ability to think and plan strategically

Job Offer

Opportunity to evolve a Data Science capability within a global company

Opportunity to work with market leading organisations internationally