Senior Data Scientist
SKILLS
FULL DESCRIPTION
Summary
The Senior Data Scientist will be responsible for developing actionable insights across projects, primarily in Aviation and Defence. The role requires analytical skills, versatility, and the application of appropriate tools and techniques for successful outcomes. The candidate will be expected to manage their own time and to deliver results for customers.
Key Responsibilities/Duties:
- Development of actionable insight across projects, primarily in Aviation and Defence.
- Application of tools and techniques.
- Manage own time.
Core Requirements/Qualifications/Skills:
- Well versed in Python and SQL.
- Experience with Python libraries such as SciKit Learn, Pandas, Numpy are highly desirable.
- Experience with deep learning frameworks such as Pytorch or Tensorflow.
- Good understanding of statistics and probability.
Senior Data Scientist Role
[Employer hidden — view at passion-project.co.uk] is delighted to announce we are hiring for the role of *Senior Data Scientist**.* In this role, the successful candidate will be responsible for the development of actionable insight across a suite of projects, primarily in Aviation and Defence.
The role will require the candidate to be analytical and versatile. To evaluate the problem space and apply tools and techniques that are best suited to driving a successful outcome. This could be anything from rigorous statistical analysis to the development of advanced, computationally intensive numerical models. The role demands programming experience and mastery of the ingestion, manipulation, and analysis of large datasets.
The role requires a mixture of home and onsite working with the expectation that the successful candidate will manage their own time to best deliver for our customers.
Required Skills
This role demands excellent insight and ability to formulate creative solutions to difficult problems, often with complex, contextual data. Passion for learning and ability to develop deep subject matter expertise are vital to deliver the required results. Additionally communicating between and working with a team of data scientists and developers will be an essential skill
Specifically, to be successful in this role, a candidate must possess the following attributes:
- Well versed in Python and SQL. Experience with Python libraries such as SciKit Learn, Pandas, Numpy are highly desirable.
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Understanding the full data science project life cycle, from initial problem statement through data engineering, model building and model evaluation
- Able to perform ad-hoc data mining and combine/enrich large sets of structured and unstructured data from several sources.
- Good understanding of statistics and probability. A strong foundation in calculus, linear algebra and analysis would be highly advantageous.
Package
As a small dynamic company, [Employer hidden] looks for employees who value autonomy and flexibility over hierarchy and processes.
We offer:
- Competitive remuneration depending on experience
- Company pension scheme
- 25 days holiday per year
- Personalised training
- Flexible working locations (home, customer site or office)
- Paid time off for charity work
Most importantly we offer the opportunity to work with a highly motivated team and be part of building a business, launching new products, engaging new customers, learning new skills and achieving success.