Senior Consultant - Data Science

July 26

🔄 Hybrid – Bristol

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Logo of DAS Ltd

DAS Ltd

Decision Analysis Services - Developing strategy, delivering certainty for critical national infrastructure and services

Strategy • Business Change • Project Management • Programme Management • Portfolio Management

51 - 200

Description

• Utilise advanced statistical and machine learning techniques to analyse large datasets, extract insights, and build predictive models. This could include data pre-processing, feature engineering, model construction, and evaluation. • Provide guidance and mentorship to junior team members. Stay up to date with the latest developments in data science and technology and help drive innovation within the organisation. • Communicate complex findings and insights to stakeholders through compelling data visualisations and reports. This could involve using tools like Power BI or custom-built dashboards. • Demonstrate exceptional consulting skills and the ability to build strong working relationships both with our clients, and the wider team at DAS.

Requirements

• Degree or Masters in a quantitative discipline (for example statistics, economics, data science, computer science, mathematics, engineering, or physics). • Ability to build relationships across a wide stakeholder’s group such as product, data and analytics, data science, marketing, and sales. • Analytical techniques for extracting insight from a variety of data sources. • Demonstrable experience working with a variety of machine learning methods. • At least one statistical/coding programming language (e.g. Python, R, Java, C++). • Visualisation of complex data using products such as Power BI, Tableau, Qlik, R Shiny, DASH etc.

Benefits

• Salary dependent on skills and experience • Private pension, private healthcare for you and your immediate family, and private dentalcare • Death-in-service and income protection schemes • 25 days holiday plus UK bank holidays, and 5 additional days to work on environmental and community activities. • Discretionary office closure over Christmas • Personal carbon offset through company scheme • Access to professional and personal development platform, Udemy

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