Senior Data Scientist (Consulting Team)

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.

• Data Storytelling: Develop and present data stories that translate complex analytical results into understandable and actionable insights for non-technical stakeholders
• Data 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 insights
• Data Wrangling: Clean, pre-process, and transform raw data into structured formats suitable for analysis using SQL and Python
• Model 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 retention
• Visualisation Creation: Design and create compelling data visualisations to communicate findings to stakeholders
• Ad-hoc Business Queries: Respond to and solve ad-hoc business questions by extracting and analysing relevant data, providing timely and accurate insights
• Deterministic Record Linking: Employ deterministic record linking techniques, such as blocking, fingerprinting, aggregation, to normalisation, and similarity measures, to match and merge customer records accurately
• Collaborative 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 processes
• Cloud Integration: Use AWS services like Redshift and Athena to manage and analyse large datasets efficiently in the cloud environment

• Senior 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 teams
• Tech 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 practice
• Nice-to-have tech: Amazon SageMaker, PySpark, and MLOps