Data Science Consultant
Key skills and experience:
Past experience working in a data science practice for a large organisation (or consultancy) and operationalising predictive models to production.
Customer facing experience and excellent presentation and communication skills – the successful candidate must have excellent communication skills and be able to communicate results, trends and business outcomes to internal and external stakeholders in a commercial meaningful way.
Expert in gathering business requirements and proven experience in translating business problems into data pipelines & model framework.
Ability to utilise tools to perform descriptive analytics, extracting insights from large and complex datasets, and developing proof of concepts.
Ability to apply visual analysis techniques and toolsets to generate visualisations and extract patterns and insights from data.
Experience with different Machine Learning and Deep Learning techniques (classification, regressions, feature engineering etc.)
Experienced with time-series analysis, NLP, virtual agents (VA) and computer vision (CV) techniques.
Ability to determine accurate modelling technique based on the complexity of the problem.
Previous experience in building, testing and deploying predictive models into production (Decision Tree, GLM, Random Forest, GBM, Neural nets etc).
Manage the full life-cycle of real-time data science models: model development, promotion to production, monitoring and retraining.
Experience with AI/Deep Learning libraries/platforms/services, such as TensorFlow, Cognitive Services, AWS Services, Watson, and other open source options
Experience with a range of programming languages/tools/datastores (such as Python, R, Pig, Hive, Impala, Hadoop, Tableau/Power BI, SQL etc.)
A sound understanding of digital and cognitive technologies and analytics, information management and business process-based solutions.
Ability to educate internal stakeholders and clients about AI and digital technologies.
Ability to work as part of a team and perform independently to achieve desired business outcomes
6+ years of relevant experience in Data Science
Mathematics degree, Statistics, Computer Science, Physics, Bioinformatics or another quantitative field
Working with large datasets and distributed computing (Hadoop, Spark, PySpark )
Access through visualisation (Tableau/PowerBI)
ETL and data engineering
Full-stack software development (Java, NodeJS etc)
Functional Programming (Scala)
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