Banner Default Image

More info

  • Location

    City of London, London

  • Sector:

    Data & Analytics

  • Salary:

    £45000 - £55000 per annum

  • Contact:

    Akram Uddin

  • Contact email:

    akram@ultimateasset.com

  • Job ref:

    AU234233_1572277107

  • Startdate:

    ASAP

  • Consultant:

    Akram Uddin

Data Scientist

Global Brand - Travel

Central London

£50,000

Ultimate Asset have Teamed up with a global brand which has a popular loyalty program dedicated to millennials.

They need someone who has a passion for machine learning and be able to implement cutting edge technology as this role will be suitable for a Data Dcientist looking to take on more responsibilities and ultimately move towards management.

Open to B2B and B2C backgrounds. Ideally looking for someone with some commercial experience relating to data & analytics with a good understanding of at least price optimisation and data Science techniques. Strong analytical abilities, numerate and able to articulate details in a story-telling approach!

Key Responsibilities:

· Work with various divisions and insight teams to frame business questions, test the hypothesis, and supply evidence and analytical models for decision making

· Formulate, plan and monitor progress to ensure timeliness of projects are kept in line with expectations

· Manage enhancements on data and tools to advance the analytical power, including analytics requirement, testing, prepare training material and delivery

· Work closely with Stakeholders and departments to ensure the projects are understood and form alliances that allow us to deploy projects successfully.

· Work closely with data science and engineering team ensuring new projects success for both development and deployment.

· Some BAU task are also required on projects already deployed such as;

· Management of Price optimisation cycles, deployment of A/B and multivariate price optimization testing

· Liaise with a wide variety of teams in order to shape and deliver analytics priorities including other UW Pricing teams, Underwriting, Claims, Reserving and Capital Modelling.

Must have:

· Understanding of common data science techniques including data preparation, exploration and visualisation.

· Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimization.

· Ability to produce workflows using classification, clustering, regression, etc.

· Pricing Optimisation: Experience with Earnix or other price optimization engine is preferred

· Understanding of Machine Learning: Decision trees, Regression, Clustering in order to work collaborate with the Data Science Team.

· Visualization & Data: Alteryx, Tableau advance user, AWS cloud

· Modelling knowledge in Python, Pyspark (preferred)

· Knowledge of data processing and cleaning within AWS, Hive and Apache Nifi

Please Apply!