Job VC
Data Scientist (freelance, remote)
Technologies
Description
Clinet: UK based company, Venture Capital and Private Equity Principals.
As a
Data Scientist,
you will be a technical specialist, developing and implementing a range of machine learning models that deliver tangible value to clients. You will engage with stakeholders to translate business requirements into analytical solutions using the most appropriate data science techniques.
You will translate technical output into transparent and actionable business insight to deliver client buy-in. You are a practical problem solver and continually scan the data science horizon for the latest advances in practical methodologies. You will have good experience in a range of statistical and data science methods. You will have experience in a variety of open-source languages (Python preferred), preferably in a cloud platform (one of AWS, Azure, GCP).
Skills and Experience:
Background in Maths / Stats or other numerate discipline.
Preferably a MSc / other postgraduate degree in a quantitative discipline.
Min 2.1 degree in a scientific / mathematical discipline (STEM).
Ability to translate standard analytical solutions into transparent and actionable business insight.
Stakeholder engagement skills and ability to present to an audience with varied business and technical background.
Inquisitive mind and a practical problem solver.
Happy to work either in a small team or individually on project.
Confidence to learn new technology stacks and how to operationalize data science solutions.
Experience in several predictive modelling and machine learning techniques, desirably in a commercial sector.
Preferably an awareness of value levers in a commercial setting, for example income and loss drivers in banking, profit signatures.
Good knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods).
Good knowledge of ML techniques (in both a supervised and unsupervised learning context).
Knowledge of new and emerging techniques such as Large Language Models.
Proficient user of Python and / or R.
As a
Data Scientist,
you will be a technical specialist, developing and implementing a range of machine learning models that deliver tangible value to clients. You will engage with stakeholders to translate business requirements into analytical solutions using the most appropriate data science techniques.
You will translate technical output into transparent and actionable business insight to deliver client buy-in. You are a practical problem solver and continually scan the data science horizon for the latest advances in practical methodologies. You will have good experience in a range of statistical and data science methods. You will have experience in a variety of open-source languages (Python preferred), preferably in a cloud platform (one of AWS, Azure, GCP).
Skills and Experience:
Background in Maths / Stats or other numerate discipline.
Preferably a MSc / other postgraduate degree in a quantitative discipline.
Min 2.1 degree in a scientific / mathematical discipline (STEM).
Ability to translate standard analytical solutions into transparent and actionable business insight.
Stakeholder engagement skills and ability to present to an audience with varied business and technical background.
Inquisitive mind and a practical problem solver.
Happy to work either in a small team or individually on project.
Confidence to learn new technology stacks and how to operationalize data science solutions.
Experience in several predictive modelling and machine learning techniques, desirably in a commercial sector.
Preferably an awareness of value levers in a commercial setting, for example income and loss drivers in banking, profit signatures.
Good knowledge of Statistics (including design and analysis of experiments, uncertainty quantification, range of predictive modelling methods).
Good knowledge of ML techniques (in both a supervised and unsupervised learning context).
Knowledge of new and emerging techniques such as Large Language Models.
Proficient user of Python and / or R.