MA564 - Data ScientistMilan or LondonProduct

MA564 - Data ScientistMilan or LondonProduct

28 set
Milano Provincia

28 set


Milano Provincia

At Moneyfarm we use technology to make saving and investing accessible to everyone in a simple and transparent way. We build software that augments and optimises our in-house financial advisory expertise to offer our customers the best use of their money. We nurture a software development practice where every engineer is trusted with autonomy in their role to responsibly and continuously deliver quality software supported by a friendly and creative environment free from ownership handovers, gatekeepers or bureaucracy,

that pushes you towards mastery in your craft.“It is a capital mistake to theorize before one has data.” – Sherlock Holmes“Data is a precious thing and will last longer than the systems themselves” – Tim Berners-Lee


- Investigate and analyze data to generate insights to support optimization of business performance and improvement of product development.

- Coordinate with senior stakeholders and different functional teams to implement models and monitor outcome KPIs. 

- Use predictive modeling to optimize customer experiences, revenue generation, ad targeting and other business outcomes. 

- Develop processes and tools to monitor and analyze model performance and prediction accuracy. 

- Develop company A/B testing framework using statistically robust methodologies.

- Develop new analytic approaches for profiling and segmenting customers to generate insights and inform decisions.

- Communicate insights to non-technical stakeholders using data storytelling and visualisation tools.

- Identify and assess new potential data sources or tools to further enhance data capabilities.

- Adhoc support for data analysis and building reports. 

- Working with the wider data and tech team to support and maintain the data environment and warehousing.

Must have:

- Insatiable curiosity to derive relevant insights from data

- At least 4-5 years experience with a BSc in Computer Science, Engineering or Maths

- Strong proficiency in data manipulation and modelling using both SQL and Python

- Experience in a wide range of ML techniques and algorithms e.g. regression, random forest, neural networks, clustering

- Ability to test for statistical validity and bias

- Ability to identify trends and patterns in complex data sets and visualisation in Tableau

- Excellent written and verbal communication with non technical stakeholders

Nice to have:

- Experience of big data tools (EMR, spark)

- Familiarity with AWS environment and services

- Understanding of dimensional and relational database modelling

- Experience with ETL design, implementation and maintenance

- Understanding of continuous development and delivery, agile methodology.

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