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

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.

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

Also Explore All Data Science Jobs in United States Using The Easy Search Filters Below or Simply Scroll Down To Continue With Current Job/Post: For Job Detail & Apply Link, just hit the + Symbol before company name as shown below bigdatakb.com

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.


  • 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



Job Family Group

Finance Group

Relocation available


Travel required

Yes – up to 10%



About BP


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


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