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Data Science Platform Engineer
2 months ago
We are seeking a highly skilled Data Science Platform Engineer to join our team at TransUnion. As a key member of our data science team, you will be responsible for designing and implementing advanced numerical algorithms, integrating popular machine learning frameworks, and engineering connections between big data frameworks and front-end applications.
Key Responsibilities- Partner with internal and external cross-functional teams to drive the setup and ongoing success of new data science environments in multiple markets.
- Manage the development of analytic solutions using languages such as C++, R, Python, SQL, Hive, and Spark, formalizing some of these efforts into repeatable process improvements.
- Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a representative of the Data Science Development team in projects led by Global Technology as a subject matter expert on machine learning and scientific computing.
- Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion's analytic products and services.
- Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
- Develop effective data science workflows, localize global tools, and liaise with global SMEs in data science and technology.
- Participate in interviewing and evaluation of new talent, mentoring and training of junior colleagues, fostering a high-performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand.
- Bachelor's degree in a quantitative field, such as statistics, applied mathematics, financial mathematics, computer science, or engineering.
- Advanced C++ programming skills, preferably in scientific computing applications.
- Experience designing and implementing advanced numerical algorithms and integrating popular machine learning frameworks.
- Proficiency with statistical languages such as R or machine learning packages for Python, and experience with other programming languages and HPC environments.
- Advanced SQL programming skills and experience with big data platforms, such as Hadoop, Spark, and Hive.
- Experience engineering connections between big data frameworks and front-end applications.
- Ability to apply strong project and time management skills to manage multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment.
- Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving.
- Proven ability to operate effectively in a complex and dynamic, matrixed environment.
- Good verbal and written communication skills and proven ability to translate technical concepts into actionable recommendations.
- 26 days' annual leave + bank holidays (increasing with service)
- Global paid wellness days off + a bonus day off to celebrate your birthday
- A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan
- Private health care + a variety of physical, mental, and financial fitness wellbeing programmes
- Access to our diversity forums and communities so you can get involved in causes close to your heart
At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us.
