Role: Senior Data Scientist - Freelance and Permanent Option
Consulting Seniority: Senior Consultant - Director
Day rate: £500-£650/day
Salary (if permanent): £70k-£80k + up to 25%
Project duration: 2-3 months or Full time
Location: London/Hybrid
Project Blackbook - We build and manage consultancies' on-demand freelance associate bench through a simple, cost-effective service.
We are partnered with a small but mighty strategy and data consultancy that is continuing to strengthen its data and analytics service lines.
They are interested in candidates either on a freelance or permanent basis.
What's key are strong skills in data storytelling and stakeholder engagement.
Please apply directly via our website whenever possible and include your LinkedIn URL.
TasksData Storytelling: Develop and present data stories that translate complex analytical results into understandable and actionable insights for non-technical stakeholdersData Analysis and Insight Generation: Analyse large volumes of customer data from various sources (e.g., fuel purchases, convenience store transactions, car services, and EV charging) to uncover actionable business insightsData Wrangling: Clean, pre-process, and transform raw data into structured formats suitable for analysis using SQL and PythonModel Development and Validation: Develop, tune, and validate machine learning models to predict customer behaviour.
Surface insight that could be actioned to optimise marketing strategies and improve customer retentionVisualisation Creation: Design and create compelling data visualisations to communicate findings to stakeholdersAd-hoc Business Queries: Respond to and solve ad-hoc business questions by extracting and analysing relevant data, providing timely and accurate insightsDeterministic Record Linking: Employ deterministic record linking techniques, such as blocking, fingerprinting, aggregation, to normalisation, and similarity measures, to match and merge customer records accuratelyCollaborative Projects: Work collaboratively with cross-functional teams, including technology (e.g., data engineers, analysts, and architecture) and the business (e.g., marketing, operations) to action data-driven insights into business processesCloud Integration: Use AWS services like Redshift and Athena to manage and analyse large datasets efficiently in the cloud environmentRequirementsSenior Data Scientist with over 5 years of experience partnering with customer-focused businesses and renowned global brands, leveraging data-driven storytelling to engage key stakeholders and foster collaboration within dynamic teamsTech required: SQL, Python, Git, AWS (Amazon Redshift, Athena), Jupyter Notebook, Visual Studio Code (the client's recommended IDE), deterministic record linking techniques, ML model development, good coding best practiceNice-to-have tech: Amazon SageMaker, PySpark, and MLOps
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