In this role, you will work in close collaboration with our Compliance and Enforcement, and Filing services at the forefront of our new intelligence and law enforcement powers.
Your primary responsibility will be to leverage data science techniques to identify patterns, trends, and anomalies that could indicate potential threats or areas of concern. By applying advanced statistical models, machine learning algorithms, and data visualization tools, you will provide critical insights and enable tracking complex behaviours that inform our strategic decisions and operational actions.
Your analyses will not only help in understanding current threats but also in anticipating and pre-empting future risks. You will play a crucial role in transforming raw data into meaningful intelligence, enabling us to stay ahead in the fight against economic crime.
Job Description
You will become part of the multi-disciplinary data team, at Companies House, working alongside other data scientists, data engineers, data analysts in an Agile way.
* Contribute to the Agile Delivery of Data Science at Companies House.
* Guide the problem definition, understand the requirements and implement the relevant techniques.
* Understand and operate scalable architectures to train and serve machine learning models.
* Contribute to standardisation, reusability and scalability of the data science solutions developed by the team.
* Adhere to the data science ethics framework to ensure fair, transparent, accountable and safe solutions.
* Build data pipelines to deliver data through our data platform.
* Propagate data science skills in the organisation, understanding the variety of functional roles relating to data science and how they can be most effectively applied to solve business problems.
* Interact with the stakeholders to help identifying user needs.
* Engage and communicate clearly and respectfully to ensure important messages are communicated, building strong relationships.
Person Specification
We are looking for a Data Scientist to join our multi-disciplinary data team alongside Data Engineers and Data Analysts.
* Experience using python to apply data science methods, following coding best practice.
* Experience working with Snowflake or other data platforms to integrate, clean and prepare reusable data for data science and machine learning applications.
* Understanding of data science solutions and their benefits and experience contributing to solve critical business, including integrating them into business processes and communicating the benefits of data.
* Familiarity with the full life cycle of model development, from design and implementation to testing and deployment, operations and maintenance.
* Experience defining tasks, managing conflicting demands and ensuring a focus on identified priorities.
* Good communication skills, with a demonstrated ability to write reports for and present to non-technical audiences.
* Experience of working collaboratively with stakeholders, building working relationships, delivering high quality outcomes that meet the user needs.
Qualifications
A degree in a quantitative subject or equivalent experience working in data science or related discipline is required.
We are an equal opportunities employer and welcome applications from all suitably qualified persons.
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