The United Kingdom Hydrographic Office (UKHO) is a world leading hydrographic agency that has been helping people safely navigate the oceans for over 200 years. You will be joining the Data Intelligence team as a Senior Data Scientist to answer key business questions to ensure we keep serving our stakeholders and customers into the future. This is an exciting opportunity for collaborative and inquisitive people to have an impact on how we function and gain experience in a thriving field.
As a Senior Data Scientist, you will work hands-on in a technical role on interesting data science problems in the marine domain. You will use cutting edge machine learning techniques and distributed/serverless data pipelines to process a wide variety of data, including bathymetry data, lidar, satellite images, autonomous vessel data and many more. You will lead on projects and regularly meet with stakeholders to refine and prioritize data science problems. Together with Principal Data Scientists, you will contribute to strategic efforts to promote the practice and adoption of data science techniques in the business. You will mentor junior members of the team, helping them to develop the skills to progress.
Job description
In this role you will:
- Be working with cutting edge technology on marine geospatial data on a range of impactful projects
- Work collaboratively on problems in a supportive and diverse data science team
- Work alongside our Data Engineering practice to implement industry leading MLOps approaches
- Work across the whole organization to embed data science at the UKHO
- Have the opportunity to support collaborations and relationships across government, MoD and wider
- Deliver research projects relating directly to the marine geospatial environment.
We will also support your professional development with the opportunity to attend conferences, access to online learning platforms, and run self-directed research projects to develop best practice
Job description
In this role you will:
- Be working with cutting edge technology on marine geospatial data on a range of impactful projects
- Work collaboratively on problems in a supportive and diverse data science team
- Work alongside our Data Engineering practice to implement industry leading MLOps approaches
- Work across the whole organizationembed data science at the UKHO
- Have the opportunity to support collaborations and relationships across government, MoD and wider
- Deliver research projects relating directly to the marine geospatial environment.
We will also support your professional development with the opportunity to attend conferences, access to online learning platforms, and run self-directed research projects to develop best practice.
Required skills and experience
As our Senior Data Scientist you will have:
- Strong experience of evaluating and understanding new business challenges, exploring data science techniques to find the best approach, and championing data driven decision making.
- Experience of planning and delivering an end-to-end data science project
- Ability to work in an agile team, designing solutions to complex big data challenges and applying deep learning techniques
- History of working with internal stakeholders to understand user requirements and present methods, results and uncertainty to end users
- Willing to produce prototypes and work alongside the Data Engineering team to productionize data science solutions.
- Ready to make time to support, mentor and develop junior members of the team and to support learning activities across the organization
Additional Information:
Whilst we welcome applications from those seeking part time work, to keep in line with business needs we anticipate the minimum amount of hours needed would be 29.6 hours per week. We would be happy to discuss this further with the right candidate.
Location: Taunton
Salary:
£55,645. A Recruitment and Retention Allowance (RRA) of up to £10,000 per annum is included in the figure above. The possibility of a non-pensionable RRA is included. The base salary for this role is £45,645 per annum.
