Senior Data Scientist Consulting Team
Senior Data Scientist Consulting Team
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Job Description
Role: Senior Data Scientist Freelance and Permanent Option
Consulting Seniority: Senior Consultant Director
Day rate: 500650/day
Salary (if permanent): 70k80k up to 25%
Project duration: 23 months or Full time
Location: London/Hybrid
Project Blackbook We build and manage consultancies ondemand freelance associate bench through a simple costeffective 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. Whats key are strong skills in data storytelling and stakeholder engagement
Please apply directly via our website whenever possible and include your LinkedIn URL.
Tasks
- Data Storytelling: Develop and present data stories that translate complex analytical results into understandable and actionable insights for nontechnical 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 preprocess 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
- Adhoc Business Queries: Respond to and solve adhoc 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 crossfunctional teams including technology (e.g. data engineers analysts and architecture) and the business (e.g. marketing operations) to action datadriven insights into business processes
- Cloud Integration: Use AWS services like Redshift and Athena to manage and analyse large datasets efficiently in the cloud environment
Requirements
- Senior Data Scientist with over 5 years of experience partnering with customerfocused businesses and renowned global brands leveraging datadriven 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 clients recommended IDE) deterministic record linking techniques ML model development good coding best practice
- Nicetohave tech: Amazon SageMaker PySpark and MLOps
Employment Type
Full Time
