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Lloyd Recruitment - East Grinstead

Data Science Analyst

Lloyd Recruitment - East Grinstead Crawley
60,000 to 70,000
32 - 40 hour


Show Recently closed jobs

    Lloyd Recruitment - East Grinstead

    Data Science Analyst

    Lloyd Recruitment - East Grinstead Crawley
    60,000 to 70,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £60,000 to £70,000
    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    Data Science Analyst - Travel

    £60,000 - £70,000 Pro Rata (DOE) | Outskirts of Crawley | Hybrid Working (2 Days Office / 3 Days WFH) | Immediate Start | Potential Permanent Opportunity

    Lloyd Recruitment Services is pleased to be working with a leading travel and leisure organisation to recruit a Data Science Analyst for a newly created position within their Commercial team.

    Reporting to the Commercial lead, this is an exciting opportunity to join a well-established organisation that is investing heavily in data, analytics, AI and commercial insight. Initially offered on a fixed-term basis, the role has strong potential to become permanent.

    The Data Science Analyst Role

    Working closely with the Lead Commercial Analyst, you will use data to drive business performance across membership, travel, leisure and financial service products. You'll be responsible for delivering meaningful insights, developing predictive models, supporting forecasting activities and helping shape the organisation's data science capabilities.

    Data Science Analyst Key Responsibilities

    Deliver commercial reporting, management information and KPI dashboards
    Analyse large and complex datasets to identify trends, opportunities and root causes
    Build predictive models to support customer acquisition, retention and lifetime value initiatives
    Support revenue, demand and occupancy forecasting
    Develop commercial models to evaluate business opportunities and promotions
    Champion AI and automation initiatives across commercial and marketing teams
    Create clear, actionable insights for senior stakeholders
    Work with technical teams to improve data quality and reporting processesAbout You

    Industry experience across one or more of the following: travel & tourism, hospitality, memberships, subscriptions or insurance - essential
    Proven experience in a Data Science, Data Analytics or Commercial Analytics role
    Advanced SQL and strong data manipulation skills
    Experience using Python or R for predictive modelling and machine learning
    Strong dashboarding and visualisation skills using Tableau, Power BI or similar
    Excellent commercial awareness and analytical thinking
    Ability to communicate complex findings to non-technical audiences
    Degree educated in a numerical discipline such as Data Science, Statistics, Mathematics, Economics or PhysicsWhat's on Offer

    £60,000 - £70,000 pro rata (DOE)
    Hybrid working - 2 days office, 3 days from home
    Newly created role with significant business exposure
    Opportunity to influence commercial strategy and AI adoption
    Potential for the role to become permanent
    Immediate start available (ideally start within a months' notice)If you're a commercially minded data professional looking to combine analytics, predictive modelling and business insight in a high-impact role, we'd love to hear from you.

    Extra info:

    Refer a friend and earn up to £500 (see website for details).
    Due to high application volumes, only shortlisted candidates will be contacted. If you don't hear back within 5 days, please assume you have not been successful.
    By applying, you accept Lloyd Recruitment Services' Privacy and GDPR Policy (see website).Lloyd Recruitment Services are acting as an employment agency for this vacancy and are an equal opportunities employer
    Salary description

    £60000.00 - £70000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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