Data Scientist

1 month ago


Cambridge UK, Cambridgeshire, United Kingdom Remobi Full time

About Remobi:


We are building the world's greatest community of remote technologists


Today, organizations that understand the value of remote working will reap the rewards. Because it doesn’t just provide team members with a healthier work-life balance, it gives you the opportunity to access the brightest minds in the world.


Our clients access our community to build or extend their existing teams. All are made up of remote, distributed software engineering experts - the best-in-class. Rapidly deployed without compromising on quality.


Join our Remobi community to have access to meaningful, innovative freelance projects and play a key role in shaping how companies operate.


Duration: Until End of Sept 2024 (with a possibility of extending)

Start: ASAP

Location: Remote (Candidates Must be in United Kingdom)

Position Type: Freelance/Contract/B2B


Summary:

We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing a comprehensive risk assessment module that evaluates potential risks associated with new projects. This role requires a deep understanding of data science techniques, excellent analytical skills, and the ability to translate complex data into actionable insights.


How You’ll Make an Impact


You will be responsible for:


  • Develop predictive and probabilistic models to assess risk factors, including financial, operational, market, and technical risks.
  • Communicate complex analytical concepts and findings in a clear and concise manner to non-technical stakeholders.
  • Provide recommendations based on risk assessment outcomes to support decision-making processes.
  • Lead the design and development of a risk assessment tool/module to evaluate the potential risks of new projects.
  • Utilize advanced statistical, probabilistic, and machine learning techniques to identify, quantify, and predict risks.
  • Integrate the tool with existing project management systems and ensure seamless data flow and user interaction.


What You Bring (Skills, Capabilities)


  • 5+ years of experience in data science, risk assessment, or a related field.
  • Proven track record of developing and deploying predictive models and analytical tools.
  • Experience with probabilistic modeling and risk management techniques.
  • Experience in risk management or project management is highly desirable.
  • Proficiency in programming languages such as Python, R, C++ or SQL.
  • Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques.


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