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- Tasks: Use data science to solve real-world challenges in the mining sector.
- Company: Join a forward-thinking team focused on innovative geological solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming geological data into actionable insights.
- Qualifications: Background in data science or geology with strong analytical skills.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
DATA SCIENCE – GEOLOGY We are seeking a talented and motivated individual with a background in either data science or geology to join our team in a cross-disciplinary role. This position offers a unique opportunity to apply advanced analytics and spatial modelling techniques to solve real-world challenges in the mining sector.You will collaborate with development teams, product owners, and subject matter experts to transform geological and mining data into actionable insights, contributing to the development of cutting-edge technology that enhances subsurface understanding and decision-making.Key ResponsibilitiesCollaborate with cross-functional teams to integrate data science capabilities into software products.Analyse and interpret complex geological and mining datasets to generate meaningful insights.Contribute to innovative projects such as:Inferring rock properties from drilling dataMerging primary and response rock properties using machine learningApplying self-learning models to geological dataBuild and deploy data-driven solutions that support geological decision-making.Apply spatial data analysis techniques to improve subsurface data interpretation.Candidate ProfileEssential Skills and Experience:Background in data science with a focus on geostatistics/geology, or geology with strong data science experienceStrong analytical and problem-solving skillsExperience with data analysis, modelling, and visualisation toolsUnderstanding of spatial and geospatial data conceptsAbility to communicate technical insights to non-technical stakeholdersCollaborative mindset and ability to work effectively in a team environmentPreferred (Bonus) Skills:Familiarity with machine learning and self-learning algorithmsExperience working with geological and mining datasetsUnderstanding of software development tools and workflowsExposure to 3D data modelling or geological simulation tools
Data scientists employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data scientists
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and geology fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews – it’s all about making connections that could lead to your next opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data analysis and spatial modelling. Use platforms like GitHub to share your code and visualisations – this gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you’ve tackled complex datasets in the past and how you can apply your expertise to real-world challenges in the mining sector.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about data science and geology. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data scientists
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and geology. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our team. Keep it conversational but professional – we love a bit of personality!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled complex datasets or solved problems in previous roles. We’re looking for those strong analytical skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn
✨Know Your Data Science and Geology
Make sure you brush up on both data science and geology concepts. Be ready to discuss how you've applied analytical techniques to geological datasets in the past. This will show your potential employer that you can bridge the gap between these two fields effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using data analysis or modelling. Think about specific projects where you inferred rock properties or applied machine learning. Being able to articulate your thought process will impress interviewers.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining technical insights in simple terms. You might be asked to present your findings to team members who aren't data-savvy, so being able to communicate effectively is key. Use analogies or visuals to make your points clearer.
✨Collaborate and Engage
Demonstrate your collaborative mindset by discussing past experiences working in cross-functional teams. Highlight how you contributed to team projects and how you value input from others. This role requires teamwork, so showing you're a team player is crucial.