bp | Jobs | Data Scientist | BigDataKB.com | 08-02-22

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    Job Location: Pune

    Job Profile Summary

    Global Business Services (GBS) is BP’s shared services organisation. GBS adds value by standardising and modernising business activities, whilst maintaining a robust control environment and driving operational excellence. There are five GBS Centres globally, situated in Europe, Africa, Asia, America and ANZ and Central Teams across all locations as well as the UK and Houston.

    We aim to drive operational excellence and are empowered to lead global change that will standardise and modernise business activities across the entire BP group. To achieve this, we work on process optimisation that utilises next generation technology solutions and process automation tools.
    This role plays a big part in that journey, combining deep data and analytics skills with strong business acumen to solve business problems by understanding, preparing.

    Job Advert

    KEY ACCOUNTABILITIES
    Analytics Requirements: Collaborates with data teams and business stakeholders to elicit, refine and demonstrate clear understanding of analytics requirements

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    Partnering: Communicates recommendations to business partners and influence future plans based on insights
    Data Transformation: Models, interprets and transforms data packets including application of complex calculations which are accurate and performant across large data sets

    Data Exploration: Works with data from multiple sources to derive insights, identify underlying patterns and create forecasts based on previous data trends. Determines additional data needed to support advanced insights
    Data Storytelling: Summarises data analysis findings and guides readers through a compelling, data-driven story
    Project Delivery: Oversees, directs colleagues and participates in delivery of data science activities within a project/initiative setting

    Machine Learning: Builds and maintains end to end Machine Learning pipelines. Creates and trains statistical models and machine learning algorithms, delivering valuable insights to the business
    Analytics Products: Drives data-derived insights across a wide range of divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.

    ESSENTIAL EXPERIENCE AND JOB REQUIREMENTS:

    • Excellent analytical and problem-solving skills
    • Experience of 8+ years plus in database interrogation and analysis tools (Python, R, SQL)
    • Experience in quantitative or statistical analysis, data mining, predictive or statistical modelling, applied programming, data management, data transformation, data visualization and/or quantitative or statistical research
    • Experience with relational databases and SQL; NoSQL databases (Cassandra, MongoDB, Couch DB, Riak) and unstructured data; Spark; Pig and Avro
    • Experience in machine learning methods and the principals of visually encoding data
    • Exceptional communication and presentation skills
    • Adaptable communication approach for varied business and technical audiences

    Entity

    Finance

    Job Family Group

    Finance Group

    Relocation available

    No

    Travel required

    Yes – up to 10%

    Country

    India

    About BP

    INNOVATION & ENGINEERING

    Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero ‎world. All without compromising our operational risk management.

    Working with us, you can do this by:

    • deploying our integrated capability and standards in service of our net zero and ‎safety ambitions
    • driving our digital transformation and pioneering new business models
    • collaborating to deliver competitive customer-focused energy solutions
    • originating, scaling and commercialising innovative ideas, and creating ground-breaking new ‎businesses from them
    • protecting us by assuring management of our greatest physical and digital risks

    Because together we are:

    • Originators, builders, guardians and disruptors
    • Engineers, technologists, scientists and entrepreneurs‎
    • Empathetic, curious, creative and inclusive

    Experience Level

    Intermediate

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