UBS | Jobs | Data Science Developer | BigDataKB.com | 20-02-22

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    Job Location: Pune

    India
    Information Technology (IT)
    Investment Bank

    Job Reference #

    248229BR

    City

    Pune

    Job Type

    Full Time

    Your role

    Do you have a knack for designing and implementing state-of-the-art data driven solutions to provide quality insights for service management and improvement? We are looking for a Data Science Developer to;

    • Work with stakeholders throughout the TOC I&P organization to identify opportunities for leveraging company data to drive business solutions.
    • Mine and analyze data from various data sources to drive service optimization and improvement and business strategies.
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
    • Develop custom data models and algorithms to apply to data sets.
    • Use predictive modeling to increase and optimize stakeholder experiences, revenue generation ( directly or indirectly) and other business outcomes.
    • Coordinate with different functional teams to implement models and monitor outcomes.
    • Develop processes to monitor and analyze model performance and data accuracy.
    • Partner and collaborate with SMEs and stakeholders across TOC I&P, Engineering and Application Development & Support.

    Your team

    You will be working as part of the I&P team, where we develop and execute & manage infrastructure for UBS Technology Operations Center. As part of this team you will be expected to develop data science based solutions using state-of-the-art technologies and algorithms. You will utilize your experience to drive and implement a wide variety of Data driven use-cases, in strong collaboration with internal and external teams globally.

    Your expertise

    • You are a full stack data science developer having experience in all 4 parts of data science development which includes data developer, ML development, Data transformation & visualization / reporting
    • At least 5 + years of data science development experience and total 8 years and above IT experience
    • Strong problem solving skills with an emphasis on product development.
    • Experience using statistical computer languages (R, Python, Scala, SQL etc.) to manipulate data and draw insights from large data sets.
    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, HBase, Spark, Sqoop, Oozie etc.
    • Experience working with and creating data architectures.
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
    • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
    • Excellent written and verbal communication skills for coordinating across teams.
    • A drive to learn and master new technologies and techniques.

    About us

    UBS is the world’s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

    With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

    Join us

    From gaining new experiences in different roles to acquiring fresh knowledge and skills, at UBS we know that great work is never done alone. We know that it’s our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves.

    Ready to be part of #teamUBS and make an impact?

    Contact Details

    UBS Recruiting India

    Disclaimer / Policy Statements

    UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

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