Ecosystem Data Scientist & Research Associate in Manchester

Ecosystem Data Scientist & Research Associate in Manchester

Manchester Full-Time 113000 - 121000 £ / year (est.) No working from home possible
UNSW

At a Glance

  • Tasks: Develop workflows and collaborate on exciting Ecosystem Science projects.
  • Company: Join UNSW, a leading university in Sydney with a focus on research excellence.
  • Benefits: Attractive salary, superannuation, and opportunities for professional growth.
  • Other info: Fixed-term role for 18 months with a dynamic research environment.
  • Why this job: Make a real impact in ecosystem science while advancing your career.
  • Qualifications: PhD or relevant Master's degree with strong coding and analytical skills.

The predicted salary is between 113000 - 121000 £ per year.

The University of New South Wales (UNSW) in Sydney is seeking a Research Associate – Data Scientist to contribute to Ecosystem Science projects. This full-time, fixed-term role lasts 18 months, offering a salary between $113k and $121k, plus superannuation.

Key responsibilities include:

  • Developing workflows
  • Collaborating with research teams
  • Enhancing research outputs

A PhD or relevant Master's degree in a related field is essential, along with strong coding and analytical skills.

Ecosystem Data Scientist & Research Associate in Manchester employer: UNSW

The University of New South Wales (UNSW) is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the field of Ecosystem Science. With a strong commitment to employee growth, UNSW provides numerous professional development opportunities and access to cutting-edge research facilities in the heart of Sydney, making it an ideal place for passionate individuals looking to make a meaningful impact in their careers.

UNSW

Contact Details:

UNSW Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ecosystem Data Scientist & Research Associate in Manchester

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Apply Directly through Our Website

When you find a suitable opening like Ecosystem Data Scientist & Research Associate at UNSW, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Ecosystem Data Scientist & Research Associate in Manchester

Data Science
Ecosystem Science
Workflow Development
Collaboration
Research Output Enhancement
PhD or Master's Degree in a Related Field
Coding Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at UNSW, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UNSW. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at UNSW

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UNSW!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.