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Adecco

Data Scientist

Adecco City of London
32 - 40 hour
new


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    Adecco

    Data Scientist

    Adecco City of London
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    Data Scientist (Fixed Term Contract)

    Contract Details:

    Contract Type: Fixed Term Contract
    Contract Length: 12 months
    Working Pattern: Full Time
    Daily Rate: £600 to £750Our client, a leading player in the retail industry, is seeking a talented Data Scientist to join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations.

    Role Overview:

    As a Data Scientist, you will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve:

    Designing and implementing robust machine learning models and data pipelines.
    Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions.
    Evaluating model performance through rigorous statistical analysis and assessing business impact.
    Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding practises.
    Engaging with stakeholders across the organisation to communicate complex ideas in a clear and compelling manner, highlighting how data science can drive significant improvements.What Our Client Is Looking For:

    The ideal candidate will possess:

    A solid foundation in machine learning, statistics, and programming.
    A curious intellect, critical thinking skills, and a scientific mindset focused on achieving business impact.
    Proven experience in translating challenging business problems into effective data science solutions while communicating findings to both technical and non-technical audiences.
    Extensive proficiency in Python and experience working with large-scale data in distributed computing environments.
    Strong knowledge of coding practises, including version control and testing.
    The ability to thrive in an ambiguous environment, taking ownership from problem scoping through to delivery while effectively engaging stakeholders.
    Experience in marketing, personalisation, recommendation systems, optimisation, or adaptive experimentation would be advantageous.

    This is an exciting opportunity to make a significant impact within a vibrant team that is dedicated to pushing the boundaries of data science in the retail sector. If you are passionate about using data to transform customer experiences and drive business success, this role is perfect for you.

    How to Apply:

    Interested candidates are encouraged to apply promptly, as this role is expected to attract high interest. Please ensure your application highlights your relevant experience and showcases your passion for data science.

    Take the next step in your career and contribute to meaningful change in the retail landscape with our client!

    Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

    We use generative AI tools to support our candidate screening process. This helps us ensure fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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