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- Tasks: Join a dynamic team to build machine learning models and translate data into actionable insights.
- Company: Be part of a high-impact Scenario Modelling team driving business strategy in Edinburgh.
- Benefits: Enjoy a competitive salary of up to £70,000 and opportunities for professional growth.
- Why this job: Make a real impact by solving complex problems and collaborating with diverse stakeholders.
- Qualifications: Strong background in statistical analysis, machine learning, and big data tech required.
- Other info: Ideal for those passionate about staying ahead in data science trends.
The predicted salary is between 42000 - 84000 £ per year.
Senior Data Scientist – Scenario Modelling
Edinburgh | Up to £70,000 per annum
Join a high-impact Scenario Modelling team, developing and deploying advanced data science solutions to drive business strategy.
What You’ll Do:
- Build and implement machine learning models to solve complex problems.
- Translate data into insights through visualisation and storytelling.
- Collaborate with stakeholders to identify opportunities and drive decisions.
- Stay ahead of emerging trends in data science and analytics.
What You’ll Need:
- Strong experience in statistical analysis, machine learning, and big data tech.
- Proven ability to deploy models into production.
- Expertise in risk management, capital management, or portfolio optimisation is a plus.
- Effective communication skills to engage technical and non-technical audiences.
Ready to make an impact? Let’s talk! #J-18808-Ljbffr
Senior Data Scientist employer: Source Technology
Contact Detail:
Source Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and data science. Follow industry leaders on social media and read relevant publications to stay updated, as this knowledge will help you stand out during discussions with stakeholders.
✨Tip Number 2
Prepare to showcase your experience in deploying models into production. Be ready to discuss specific projects where you've successfully implemented machine learning solutions, as this will demonstrate your practical skills and problem-solving abilities.
✨Tip Number 3
Practice your storytelling skills with data. Being able to translate complex data insights into clear, actionable recommendations is crucial. Consider creating a portfolio of visualizations that effectively communicate your findings.
✨Tip Number 4
Network with professionals in the field of data science and analytics. Attend meetups, webinars, or conferences to connect with others and learn about potential opportunities. This can also provide you with valuable insights into the company culture and expectations.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Take time to thoroughly understand the responsibilities and requirements of the Senior Data Scientist position. Highlight your experience in statistical analysis, machine learning, and big data technologies in your application.
Showcase Your Skills: In your CV and cover letter, provide specific examples of how you've built and implemented machine learning models. Use metrics to demonstrate the impact of your work on previous projects.
Communicate Effectively: Since effective communication is key for this role, ensure that your application clearly conveys complex data insights in a way that is understandable to both technical and non-technical audiences.
Tailor Your Application: Customize your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. Mention any relevant expertise in risk management or portfolio optimization if applicable.
How to prepare for a job interview at Source Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical analysis and machine learning. Bring examples of models you've built and deployed, and be ready to explain the impact they had on previous projects.
✨Demonstrate Your Storytelling Ability
Since translating data into insights is key, practice how you would present complex data findings in a clear and engaging way. Use visual aids if possible to illustrate your points during the interview.
✨Engage with Stakeholders
Highlight your experience collaborating with different teams. Be ready to discuss how you've identified opportunities through stakeholder engagement and how that influenced decision-making in your past roles.
✨Stay Updated on Trends
Research the latest trends in data science and analytics. Be prepared to discuss how these trends could apply to the role and how you can leverage them to drive business strategy.
