At a Glance
- Tasks: Apply data science techniques to deliver impactful projects for the Maritime and Coastguard Agency.
- Company: Join the Maritime and Coastguard Agency, a leader in data-driven decision making.
- Benefits: Enjoy a generous pension, 25 days leave, flexible working, and a competitive salary.
- Other info: Hybrid working options available with excellent career development opportunities.
- Why this job: Make a real difference using your data skills in a supportive and innovative environment.
- Qualifications: Experience in Python, SQL, and data science techniques is essential.
The predicted salary is between 44241 - 58700 £ per year.
Location: Southampton
About the Job
Job summary: Are you confident in applying data science techniques, such as optimisation algorithms, predictive modelling, or geospatial data science? Do you have experience using tools such as Databricks and Azure? Can you work effectively to deliver data science projects independently using Python and SQL? If so, we are looking for a Data Scientist to join us at the Maritime and Coastguard Agency (MCA) and would love to hear from you!
Benefits:
- Employer pension contribution of 28.97% of your salary.
- 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays.
- Flexible working options that encourage a great work‑life balance.
Job Description: Data Scientists report to the Head of Data Science and lead the programme of dataset utilisation to the agency. They work with senior managers and the Executive team to set priorities and conceptualise, build and deliver the way for machine learning, data insights, and AI utilisation.
Core Responsibilities:
- Programming in Python and SQL to build scalable data products.
- Apply a range of data science techniques and keep current with industry trends.
- Influence stakeholders to promote MCA data strategy and data skills.
- Work independently to deliver wide‑range data science and visualisation projects using Agile techniques.
- Create compelling insights, present data, and guide stakeholders through data journeys.
Person Specification:
- Experience and knowledge of programming (Python, SQL), data science techniques, and applied statistics.
- Ability to influence stakeholders and build relationships.
- Experience developing complex solutions using Databricks, PySpark, and working out loud.
- Capability to work independently or as part of a team to deliver data science and visualisation projects.
Additional Information: The role is part of the Government Digital and Data profession and utilises an enhanced Capability‑Based Pay Framework with a Digital and Data allowance. Base pay is £44,241. Digital and Data allowance up to £14,756, based on assessed skills and experience.
Working Hours, Office Attendance and Travel Requirements: Full‑time: 37 hours per week. Minimum 30 hours per week for part‑time if required. This role is suitable for hybrid working. Minimum 60% of working time per month is expected at the designated workplace or other approved office locations.
Visa Sponsorship: Only skilled worker visa sponsorship will be offered for roles deemed business critical. This role does not meet that category; therefore, no visa sponsorship will be provided. Applicants must have the right to work in the UK before applying.
Data Scientist - Maritime and Coastguard Agency - SEO in Manchester employer: Manchester Digital
The Maritime and Coastguard Agency (MCA) is an exceptional employer, offering a supportive work culture that prioritises employee well-being through flexible working options and generous annual leave. With a strong commitment to professional development, employees have the opportunity to lead innovative data science projects while benefiting from a substantial pension contribution and a competitive salary structure, making it an ideal place for those seeking meaningful and rewarding careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Maritime and Coastguard Agency - SEO in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Maritime and Coastguard Agency on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss specific projects where you've used optimisation algorithms or predictive modelling. We want to see how you can apply your knowledge in real-world scenarios!
✨Tip Number 3
Showcase your passion for data science! During interviews, share your thoughts on industry trends and how they relate to the MCA's mission. This will demonstrate your enthusiasm and commitment to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at the MCA.
We think you need these skills to ace Data Scientist - Maritime and Coastguard Agency - SEO in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and any data science techniques you've used. We want to see how you can apply these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Data Scientist role at MCA. Use keywords from the job description to show us that you understand what we’re looking for and how you fit into our team.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Manchester Digital
✨Know Your Data Science Techniques
Make sure you brush up on optimisation algorithms, predictive modelling, and geospatial data science. Be ready to discuss how you've applied these techniques in past projects, as this will show your confidence and expertise.
✨Familiarise Yourself with Tools
Since the role requires experience with Databricks and Azure, take some time to get comfortable with these tools. If you can, prepare a small project or example that showcases your skills using Python and SQL within these platforms.
✨Prepare for Stakeholder Engagement
Think about how you can influence stakeholders and promote data strategies. Prepare examples of how you've successfully communicated complex data insights to non-technical audiences in the past.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in data science projects and how you approached solving them. Highlight your ability to work independently and your experience with Agile methodologies to demonstrate your adaptability.
