KTP associate with University of Exeter and SRK Exploration (Cardiff)
KTP associate with University of Exeter and SRK Exploration (Cardiff)

KTP associate with University of Exeter and SRK Exploration (Cardiff)

Cardiff Full-Time 36000 - 60000 £ / year (est.) No home office possible
T

At a Glance

  • Tasks: Lead a groundbreaking Data Science project to enhance mineral prospecting strategies.
  • Company: Join the University of Exeter and SRK Exploration, leaders in data-driven solutions.
  • Benefits: Enjoy a £4K training budget and 10% of your time for personal development.
  • Why this job: Make a real impact in the mining industry while developing your skills.
  • Qualifications: PhD or strong Master’s in Data Science, Statistics, or Mathematical Science required.
  • Other info: Work in a supportive environment with a commitment to equality in STEM.

The predicted salary is between 36000 - 60000 £ per year.

This is a rare and exciting opportunity to join an industry-leading Data Science project as the KTP Associate on a Knowledge Transfer Partnership between the University of Exeter and SRK Exploration. The post is available immediately, on a 2-year fixed term basis. It includes a £4K training budget and 10% of your working time dedicated to personal development. The successful candidate will be employed by the University of Exeter and will be based at the company premises in Cardiff.

This project aims to utilise data science capabilities to improve strategic decision making during mineral prospecting. The Data Scientist will be working alongside the Principal Geologist and technical support staff within SRK Exploration and wider across SRK’s global practices, which provides a range of technical services to the mineral exploration and mining industries.

The role of the Data Scientist will be to lead this strategic project, working alongside SRK and leading academics at the University of Exeter to develop and embed innovative data models to revolutionise mineral exploration methods. The successful applicant will develop both industrial and research skills for their future career, utilising the skills and knowledge of company supervisors, as well as benefitting from continuous academic support.

Applicants will have a Data Science, Statistics or Mathematical Science background, preferably with a PhD in the subject or a very good Master’s degree in a quantitative subject. They must also be a self-starter, have confidence in their own abilities, be happy to work alone and as part of a small team and have excellent communication and problem-solving skills. Familiarity and confidence in Bayesian statistics and simulation techniques, including experience of programming in Python or R, is essential.

The department has gained a Silver Athena SWAN award as a commitment to providing equality of opportunity and advancing the representation of women in STEM/M subjects: science, technology, engineering, mathematics and medicine.

The closing date for completed applications is 12th April 2020. Interviews are expected to take place at SRK Exploration’s premises in Cardiff, or potentially via videoconference. Due to the nature of the role, we will only shortlist candidates who clearly demonstrate their suitability for this role via a covering letter and/or personal statement.

KTP associate with University of Exeter and SRK Exploration (Cardiff) employer: The International Society for Bayesian Analysis

Joining the University of Exeter and SRK Exploration as a KTP Associate offers a unique opportunity to engage in cutting-edge data science projects within a supportive and innovative work environment. With a strong commitment to employee development, including a £4K training budget and dedicated time for personal growth, you will be empowered to enhance your skills while contributing to meaningful advancements in mineral exploration. The collaborative culture fosters both academic and industrial expertise, making it an ideal setting for ambitious individuals looking to make a significant impact in their field.
T

Contact Detail:

The International Society for Bayesian Analysis Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land KTP associate with University of Exeter and SRK Exploration (Cardiff)

✨Tip Number 1

Network like a pro! Reach out to current or former employees at SRK Exploration and the University of Exeter. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Prepare for the interview by brushing up on your data science skills, especially Bayesian statistics and programming in Python or R. Show them you’re not just a candidate, but the candidate they need!

✨Tip Number 3

Practice your communication skills! You’ll be working with a team, so being able to explain complex ideas simply is key. Try explaining your past projects to friends or family to get comfortable.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace KTP associate with University of Exeter and SRK Exploration (Cardiff)

Data Science
Statistics
Mathematical Science
Bayesian Statistics
Simulation Techniques
Python
R
Communication Skills
Problem-Solving Skills
Self-Starter
Teamwork
Analytical Skills
Project Management

Some tips for your application 🫡

Tailor Your Cover Letter: Make sure to customise your cover letter for this specific role. Highlight your relevant experience in data science and how it aligns with the project at SRK Exploration. We want to see your passion for the field and how you can contribute to the team!

Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use examples from your past work or studies that showcase your expertise in Bayesian statistics, Python, or R. We love seeing how you’ve applied your skills in real-world situations.

Be Yourself: We’re looking for a self-starter who can work independently and as part of a team. Let your personality shine through in your application. Share your problem-solving approach and how you communicate effectively with others.

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at The International Society for Bayesian Analysis

✨Know Your Data Science Stuff

Make sure you brush up on your data science knowledge, especially Bayesian statistics and simulation techniques. Be ready to discuss your experience with Python or R, as these skills are essential for the role.

✨Show Your Problem-Solving Skills

Prepare examples of how you've tackled complex problems in the past. This could be from your academic work or previous jobs. Highlight your analytical thinking and how you approached challenges, as this will resonate well with the interviewers.

✨Communicate Clearly

Since excellent communication is key for this role, practice explaining your ideas and projects clearly and concisely. You might be asked to present your work, so being able to articulate your thoughts will set you apart.

✨Research SRK Exploration

Familiarise yourself with SRK Exploration's projects and values. Understanding their approach to mineral prospecting and how data science fits into their strategy will show your genuine interest and help you tailor your responses during the interview.

KTP associate with University of Exeter and SRK Exploration (Cardiff)
The International Society for Bayesian Analysis
Location: Cardiff

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

T
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>