Senior Data Scientist

    Senior Data Scientist at GSK, Bengaluru, India

    Website GSK

    Job Profile: Senior Data Scientist

    Location: Bengaluru, India

    Categories: Finance

    Req ID: 348166

    Job description

    Site Name: Bengaluru Luxor North Tower
    Posted Date: Sep 19 2022
    Ready to help shape the future of healthcare?

    GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

    Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

    Join GlaxoSmithKline’s D&A community and become part of a world-leading digital, data and analytics team that is transforming GSK​.

    In the Senior Data Scientist role, you will join a community of data and analytics professionals, who are truly valued and appreciated for your knowledge and skills, and are critical to our success, performance and impact we can have on our patients.    Advanced data and analytics is disrupting our industry and revolutionising GSK for the better.  At the core of this effort are our small, inter-disciplinary squads of data scientists, analysts and developers working alongside a product manager, scrum master, developer, UI/UX designer, business analysts and scrum master (adjust to specify the network of other roles this role would work with) to lead our digital transformation and tackle our most impactful business challenges. You will be responsible to integrate and analyze complex, high dimensional data sets, building novel, innovative models to solve challenging business problems or identify untapped opportunities.  You will work with your team to ensure that these models are translated into solutions for GSK. The work senior data scientist do will transform GSK, making sense of our huge untapped data sources to drive better business choices, make advanced analytics a competitive advantage for GSK and secure better health outcomes for those who depend upon our medicines and innovation.

    [Insert specific information about relevant team here.]

    Overall responsibilities

    • Business and data understanding:   Working with other data scientists, you know how to build your understanding of the business context, systems, environment, strategy and people aligned to the given area.  This also includes an understanding of the relevant internal and external high-volume data sources, validity and domains of such data to align with the intended business objective.    You will conduct data acquisition from multiple data sources and wrangle data sets selecting appropriate techniques, such as parsing, or an algorithm, to create a data structure relevant to the problem.  This can include but not limited to techniques such as ETL batch processing, streaming ingestion, scrapers, APIs and crawlers.  NOTE:  adjust here based on your teams process of identifying DS project scope.  Could also be the case, for example, “After receiving an explorative brief, you will build your understanding of the business context, systems, environment, strategy and people to convert it into a valued deliverable.”
    • Data preparation:  Senior data scientist will create required data set(s) utilising your understanding of complex business problems, data formats, applicability of the data to the problem and standard modelling techniques.  You can perform techniques to validate the quality of the data, and can fuse data from various sources using knowledge of data pre-processing techniques.
    • Modelling:  For the intended business objective, you can utilize advanced modelling techniques, such as predictive modelling, advanced clustering, association rules, to create a model or models that perform to particular requirements and specifications. You are able to anticipate how a model’s requirements or the available data, might change over time and be able to design a product that will be able to cope with these requirements.
    • Test & validate the model:  You are able to apply best practice model fit testing, tuning and validation techniques, such as chi square, ROC curve, root mean square error, to assess model performance, compare results from various methodologies and suggest improvements.  You both give and seek feedback and ideas with others from across differing business areas, as relevant, to create better products and continually advance your data science skills.
    • Communication of insights:  You are able to design rich data visualisations and use them to communicate complex messages to business leaders  in a clear and simple way, with the ability to respond effectively to challenges.

    In the senior data scientist role, you will (note:  can be used as part of advert / description to inspire and describe working environment):

    The senior data scientist will work in a stimulating and supportive environment; Be part of a dynamic, growing community of data analysts and data scientists at GSK; Have career-long access to our GSK Data Academy – a dedicated, tailored learning programme that blends your on-the-job learning with targeted coaching, peer-to-peer mentoring, expert-led workshops and a network of learning providers; Work on high impact strategic priorities; deploy GSK’s large, varied data-sets to tackle analytics challenges; Be at the forefront of GSK’s data and analytics transformation (add others as relevant to the specific team)

    Core and Technical Competencies, to be successful in the senior data scientist role, you should:

    • Be curious and passionate about creative thinking and data innovation, enjoy problem solving and have empathy for the problems you are challenged to solve.
    • Be accountable for driving projects and improvement activities through value delivery for GSK leaders from across different business areas;
    • Be able to compile, integrate and analyse data from multiple sources to answer business questions.
    • Have the ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems.
    • Demonstrate the ability to communicate complex data science concepts to a variety of stakeholders.
    • Have the ability to plan and execute value measurement of data work, in order to demonstrate and improve results.
    • Possess practical experience developing and implementing machine learning on large data sets.
    • Have knowledge in mining large & complex data sets using R, Python, SQL etc. from a multitude of environments such as cloud, Hadoop clusters, NoSQL or Spark (adjust as needed)
    • Understand statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.

    Basic Qualifications

    • Minimum BS degree in STEM subjects (Computer Science, Machine Learning, Artificial Intelligence, Statistics, Bioinformatics, Engineering, Mathematics, Chemistry)
    • ~6-8+ years of experience of working in Data Science or related role
    • Working knowledge cloud based and local data science frameworks and toolkits.
    • Working knowledge and experience of project management methodologies, include Agile methodologies and the hypothesis-driven approach
    • Have a practical understanding of Machine Learning, Deep Learning and natural language understanding/processing or speech recognition  (if applicable)
    • Experience of building large scale machine learning systems  (if applicable)
    • Exposure to Cuda, pyTorch or TensorFlow. (fill in as applicable)

    Preferred Qualifications

    • Advanced degree in STEM subjects (Computer Science, Machine Learning, Artificial Intelligence, Statistics, Bioinformatics, Engineering, Mathematics, Chemistry)
    • Experience in handling large enterprise implementation of algorithms and data.
    • Add other tools, systems, etc.

    At GSK we value diversity (Gender, LGBTQ +, PwD etc.) and treat all candidates equally. We aim to create an inclusive workplace where all employees feel engaged, supportive of one another, and know their work makes an important contribution.

    *LI-GSK

    GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

    Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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