Who are we?
Parvana was launched in 2006 by Sinead and David Baker. The market responded incredibly well to our passionate, high energy and fast response approach.
Honesty, integrity and providing a great service are our key values. The Parvana team share in the same values. Our team is dedicated and committed to finding you your dream job. We have hired th...
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Analyse and interpret data structures across databases to facilitate data analysis and continuous monitoring.
Develop and identify Predictive and Prescriptive Models to enhance business decision-making.
Collaborate with business stakeholders to identify problems and opportunities that can be addressed with machine learning or statistical modeling.
Develop the hypothesis testing framework and modeling approach to meet business needs.
Prepare data for analysis and modeling, including data cleaning, standardization, transformation, dimension reduction, and feature engineering.
Develop custom code to implement data mining techniques, machine learning algorithms, and statistical models for large datasets.
Make strategic recommendations on data collection and experimental design.
Interpret results and translate findings into clear, actionable insights.
Communicate findings to business stakeholders, present trends, correlations, and patterns found in complex datasets clearly and concisely to convey meaningful insights.
Assist with managing and monitoring cloud expenditure and budget.
Help lead and mentor team members and collaborate in problem-solving.
Lead projects and manage delivery expectations.
What our client is looking for:
A relevant degree in a quantitative field would be ideal, with exposure to mathematics, statistics, and computer science.
4+ years of data science and 3+ years in software / cloud development experience.
Extensive experience with Python, business analytics software, and a statistical package.
Experience with SQL and building / managing big data platforms.
Extensive software engineering experience and cloud understanding, particularly with AWS.
Healthcare and/or insurance industry experience.
Deep theoretical and applied understanding of statistical and machine learning techniques to solve business problems.
Experience translating statistical findings into business recommendations.
Understanding of artificial intelligence solutions and techniques.
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