Lead Data Scientist (O/IR35+ UK Remote Working)

Our client in the finance industry is looking for a Data Scientist to drive the setup and ongoing success of new data science environments in multiple markets.

Responsibilities:

• 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 with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a representative of the development team in projects 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 analytic products and services.
• Contribute to research and innovation initiatives in collaboration with peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
• Develope effective data science workflows, and localisation of global tools
• 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.

Requirements:

Bachelor’s degree in a quantitative field, for example in statistics, applied mathematics, financial mathematics, computer science, engineering.

Advanced C++ programming skills, preferably in scientific computing applications.

Experience designing and implementing advanced numerical algorithms.

Experience engineering connections between big data frameworks and front end applications (Shiny, Streamlit, Dash, Tableau).

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.

Ability to operate effectively in a complex and dynamic, matrixed environment.

Good verbal and written communication skills.

Benefits:

• Excellent salary and bonus scheme
• 21 days’ annual leave (increasing with service)
• Contributory pension scheme
• Private health care.