Data Science Software Developer, Predictive Analytics, RWI Technology at IQVIA, The Human Data Science Company (London, UK)

This is an exciting role for a commercially experienced data science-driven software developer who enjoys tackling tough problems of a statistical nature. You will be an integral part of the Predictive Analytics team, advancing the team’s analysis and modelling stack such that projects can be executed more efficiently and with improved accuracy. You should want to automate your job away, so that repeated tasks are scalable, and fresh challenges and novel approaches can be pursued. Strong communication skills across disciplines is essential, in order to collaboratively plan and execute end-to-end solutions with a range of experts including data scientists, software engineers, product owners and system architects. 

A typical day might include:

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• Supporting other data scientists in the use of the systems you build for the successful delivery of machine-learning client projects.
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• Working closely with data scientists and software engineers to automate tasks and roadmap improvements for project design and execution.
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• Carrying out a variety of product development initiatives, from requirements gathering to prototyping.
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• Supporting the on-going build and maintenance of a cloud-based machine learning platform for project delivery and product development. 
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Our ideal candidate: Experience

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• Commercial software development experience within a company for which data was at the heart of the business.
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• Experience in the design and delivery of multiple projects involving advanced statistical methods (preferably machine learning) in an academic and/or commercial setting.
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• Commercial experience in the exploration, cleansing, and processing of large and messy datasets, along with experience working with very large/complex SQL databases.
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• Familiarity with Agile methodologies, such as Scrum or Kanban, as well as software development practices such as Continuous Integration, Test-Driven Development and DevOps.
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Our ideal candidate: Tech Skills

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• Advanced level programming skills in Python, ideally developed from experience working on long-term commercial projects, including significant experience using SciPy and machine-learning packages (Numpy, Pandas, scikit-learn, etc) for the development of maintained components. Additional experience using PySpark a big plus.
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• Ability to integrate and scale solutions that involve large data sources in SQL databases and/or distributed systems such as Hadoop, as well as considerable experience deploying at scale on cloud technologies such as AWS, GCP, Azure.
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• A set of software-development values that ensures high-quality, readable and maintainable code is produced within an open and collaborative environment.
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• A pragmatic approach in scope and design, seeking simple iterative solutions wherever possible to shorten the time-to-value of work.
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Bonus points for:

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• Knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, deep learning, etc. Additional experience developing in C++, R, Java, Scala, Java, JavaScript, or advanced ability user of shell scripting commands (grep, sed, awk, etc).
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• A demonstrable interest (e.g. public GitHub repo, or online course completion) in one of the following machine learning libraries (or equivalents): TensorFlow, Spark MLLib or CRAN packages for machine learning.
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• Knowledge of healthcare / life science issues involving Real-World Evidence.
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We know that meaningful results require not only the right approach but also the right people. We invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. 

We invite you to join IQVIA™.

IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.

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