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    WGSN - Head of Data Science & Engineering - London, United Kingdom - Ascential Group Ltd

    Ascential Group Ltd
    Ascential Group Ltd London, United Kingdom

    6 days ago

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    Description

    The role

    We are looking to hire a Head of Data Science & Engineering to join our Data team in London.

    Working at WGSN

    Together, we create tomorrow

    A career with WGSN is fast-paced, exciting and full of opportunities to grow and develop. We're a team of consumer and design trend forecasters, content creators, designers, data analysts, advisory consultants and much more, united by a common goal: to create tomorrow.

    WGSN's trusted consumer and design forecasts power outstanding product design, enabling our customers to create a better future. Our services cover consumer insights, beauty, consumer tech, fashion, interiors, lifestyle, food and drink forecasting, data analytics and expert advisory. If you are an expert in your field, we want to hear from you.

    Role overview

    The foundation of WGSN is our passionate experts. WGSN seeks talent globally to work within a business that offers a unique blend of specialist problem solvers, data analysts and innovative thinkers who put trends and data together to provide the answers to create tomorrow.

    You will lead, manage, and inspire a team of data scientists and data engineers to maintain and develop new machine learning models that are at the foundation of WGSN's proprietary data, products, and services.

    You will collaborate with senior leaders and stakeholders to develop and grow WGSN's data science and engineering capabilities, translating business objectives into workable solutions that will drive top line revenue growth and drive bottom line efficiencies.

    Key accountabilities

  • Lead, structure, develop, and scale a high performance data science and engineering team, fostering a collaborative and innovative work environment that encourages professional growth and excellence.
  • Develop best practices for modelling, deployment, QA, and tests across the data science team.
  • Deploy high quality data products to production and measure the value, accuracy, and improvement over time.
  • Develop and manage a data science and engineering roadmap aligned to company objectives to drive top line revenue growth and bottom line efficiencies.
  • Engage and collaborate with senior leaders and key stakeholders on data science and engineering projects and deliverables.
  • Clearly communicate and educate the wider business and clients on data science and engineering projects and deliverables. Make the complex simple.
  • Take an active part in the development of data strategy and identifying areas of growth and efficiency.
  • Proactively suggest ways to visualise complex data sets, generating charts/tables that give insightful views of key business issues and opportunities
  • Be connected to the rapidly developing and evolving space of machine learning and AI to identify new risks and opportunities to WGSN.
  • Technical background and ability to dive into details of technologies built by data science and engineering teams.

    • This list is not exhaustive and there may be other activities you are required to deliver.

    Skills, experience & qualifications required

  • Significant experience of doing quantitative research and analysis
  • Solid, demonstrable experience managing a team of data scientists, data engineers, and analysts
  • Demonstrated experience in leading and managing cross-functional teams, driving successful data science and engineering projects
  • Proven ability to build strong working relationship with other departments
  • Ability to present senior leadership and stakeholders to drive decisions and tell stories through data
  • An analytical mind, with the ability to distinguish between what is important and what is not, making the complex simple
  • Curious, flexible and a strategic thinker
  • Excellent interpersonal skills comfortable to tackle work within a global team
  • Knowledge of statistics and analytical techniques
  • Experience with time series forecasting and computer vision classification preferred
  • Degree or equivalent experience in quantitative fields (Statistics, Math, CS or Engineering)

    • Technical Experience with:

  • Machine Learning Frameworks (one or multiple): PyTorch, TensorFlow, etc.
  • Data Warehouses (one or multiple): Snowflake, SQL, BigQuery, etc.
  • Languages (one or multiple): SQL (must), Python/R (proficient in one), Java, etc.
  • Visualisation (one or multiple): Tableau, Looker, Power BI, etc.
  • Sprint Planning/Development using JIRA

    • What we offer

    Our benefits and wellbeing package offers flexible benefits you can tailor to your own personal needs, including:

  • 25 days of holiday per year - with an option to buy/ sell up to 5 days
  • Pension, Life Assurance and Income Protection
  • Flexible benefits platform with options including Private Medical, Dental Insurance & Critical Illness
  • Employee assistance programme, season ticket loans and cycle to work scheme
  • Volunteering opportunities and charitable giving options
  • Great learning and development opportunities
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