Data Scientist in Newport

Data Scientist in Newport

Newport Full-Time 60000 - 80000 £ / year (est.) No working from home possible
True North Group

At a Glance

  • Tasks: Revolutionise pharma intelligence using data science and AI to improve patient access to therapies.
  • Company: Join a pioneering team at the forefront of healthcare innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make a real impact in healthcare by leveraging cutting-edge technology and data insights.
  • Qualifications: Graduate degree in STEM and 5+ years in AI/ML applications required.

The predicted salary is between 60000 - 80000 £ per year.

Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development.

Requirements:

  • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
  • 5+ years of experience developing AI / ML applications and data driven solutions
  • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc.
  • Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation
  • Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc.
  • Understanding of CS fundamentals, computational concepts, and algorithms

Data Scientist in Newport employer: True North Group

As a leading innovator in pharma intelligence, our company offers Data Scientists an exceptional work environment where cutting-edge technology meets a collaborative culture. Employees benefit from continuous professional development opportunities, a commitment to work-life balance, and the chance to make a meaningful impact on patient access to life-saving therapies. Located in a vibrant area, we provide a unique blend of industry expertise and a supportive team atmosphere that empowers you to thrive in your career.

True North Group

Contact Details:

True North Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Newport

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with our team on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and ML. This is your chance to demonstrate your expertise and passion for the field, so make it shine!

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We love seeing how you think and approach problems!

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, we’re always on the lookout for passionate candidates who want to make a difference in pharma intelligence.

We think you need these skills to ace Data Scientist in Newport

Artificial Intelligence
Machine Learning
Statistical Modelling
Python
Pandas
Scikit-learn
LangChain

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your expertise in AI, ML, and any relevant projects you've worked on. We want to see how you can contribute to our mission!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how it connects to our work in pharma intelligence. Let us know why you're excited about joining our team and what unique insights you can bring.

Showcase Your Projects:If you've worked on any cool AI/ML projects, don't hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills and how you've tackled real-world problems.

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 shows us you’re keen on being part of the StudySmarter family!

How to prepare for a job interview at True North Group

Know Your Data Science Stuff

Make sure you brush up on your knowledge of AI, ML, and the specific libraries mentioned in the job description. Be ready to discuss your past projects and how you've applied these technologies to solve real-world problems.

Showcase Your Collaborative Spirit

Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight your ability to communicate complex data insights to non-technical stakeholders.

Prepare for Technical Questions

Expect some technical questions or even a coding challenge during the interview. Practice common data science problems and be ready to explain your thought process clearly. This will show your problem-solving skills and depth of knowledge.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company and the role. Inquire about their current projects, the team dynamics, or how they measure success in their data science initiatives.