We have some exciting opportunities to join our Data Science team in Companies House! We have a Senior Data Scientist role and 2 Data Scientist roles available.
In this role, you will work in close collaboration with our Intelligence, Compliance and Enforcement 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 work will be integral to enhancing our ability to detect and prevent suspicious activities, ensuring the integrity and accuracy of the information on our Register. 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. By continuously refining our analytical approaches and integrating new data sources, you will contribute to a dynamic and responsive service.
Do you want be at the forefront of supporting the governments fight against economic crime?
If so, this role is for you, and wed love to receive your application!
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. You will work with the Product Owner and the other data specialists on the team to articulate customer requirements into actionable stories and backlog items.
* Contribute to the Agile Delivery of Data Science at Companies House.
* Work with data colleagues and stake holders to understand the requirements and implement the relevant techniques.
* Understand and operate scalable architectures to train and serve machine learning models, to seamlessly transition from experimentation to production on Companies House Cloud Data Platform.
* Contribute to the implementation of data science solutions developed by the team, following standards.
* 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.
* Work with Data Engineers to source, access, manipulate and engineer data processes
* 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.
As well as the responsibilities outlined above, the Senior Data Scientist role also includes the following:
* Line management responsibilities for the Data Scientists.
* Set and ensure standardisation, reusability and scalability of the data science solutions developed by the team.
* Guide Data colleagues and stakeholders by leading the problem definition, understanding the requirements and defining the relevant techniques.
Person specification
We are looking for Data Scientists to join our multi-disciplinary data team alongside Data Engineers and Data Analysts. You will work collaboratively in this Agile structure to support the data requirements of the service. You will contribute to develop data products that will help the Register combat economic crime and support growth in the UK economy.
To be eligible for the Data Scientist roles, we are looking for people with:
* Experience using python to apply data science methods, following coding best practice (including use of version control and orchestration tools).
* Experience working with Snowflake or other data platforms to integrate, clean and prepare reusable data for data science and machine learning applications. You will need to understand a broad range of architectures (relational, noSQL) and data manipulation tools.
* 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.
* Experience with Agile methodology.
* 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.
To be eligible for the Senior Data Scientist role, as well as meeting the criteria above, you must also:
* Have experience in and be able to support others to use Snowflake or other data platforms to integrate, clean and prepare reusable data for data science and machine learning applications. As well as understand a broad range of architectures (relational, noSQL) and data manipulation tools.
* Have experience designing data science solutions to solve critical business problems at scale, including integrating them into business processes and building a data culture.
Qualifications
For both roles, a degree in a quantitative subject or equivalent experience working in data science or related discipline is required.
Behaviours
We'll assess you against these behaviours during the selection process:
* Communicating and Influencing
* Delivering at Pace
* Managing a Quality Service
Technical skills
We'll assess you against these technical skills during the selection process:
* The 2 roles, Data Scientist and Senior Data Scientist, correspond tothe Data Scientist and Principal Data Scientist sections here.
Benefits
Alongside your salary of £41,571, Companies House contributes £12,043 towards you being a member of the Civil Service Defined Benefit Pension scheme.Find out what benefits a Civil Service Pension provides.
Join us at Companies House and experience the difference of working within a culture that values you, not only as an employee, but as an integral part of our Companies House team.
We believe that our success is driven by the well-being and satisfaction of our team members at all levels of the organisation. At Companies House were committed to providing a comprehensive benefits package that goes beyond the ordinary, ensuring your career journey with us is not only fulfilling, but also rewarding. We pride ourselves on offering a quality work-life balance with our employee wellbeing being central to our working practices.
We celebrate diversity...
As an equal opportunity employer, we celebrate diversity, being committed to ensuring were representative of the citizens we serve and creating an inclusive environment. Everyone in Companies House brings something different, and so will you. To fulfil our commitment to recruiting and attracting diverse talent we welcome applications from underrepresented groups. We also welcome applications from Welsh speakers.
We are proud to be a disability confident leader. Our recruitment process is fully inclusive and we can make adjustments as needed through our process. These could include having an interview buddy, extra time at interviews/assessments and receiving interview questions in advance, to name a few. We will be happy to discuss any person-centred adjustments, please contact us.
All our recruitment at Companies House uses the Civil Service Success Profilesframework, which will assess your behaviours, strengths and experience. Our recruitment process is underpinned by recruitment which is fair and open with decisions made on merit, as outlined in the Civil Service Commissioners Recruitment Principles.
In your application form wed like you to:
1. Tell us about your employment history, including key responsibilities and achievements.
2. Wed like you to write a personal statement of 1,250 words where you will need to address the person specification above, presenting your experience, describing your skills and abilities and providing evidence of your knowledge and behaviours. Use examples and be specific on what you have done, how this matches each of the criteria of the person specification.
3. Specify what degree in a quantitative subject or equivalent experience working in data science or related discipline.
You can find more guidance on completing your applicationhere.Were committed to being diverse and inclusive, so please make your application anonymous by removing all identifying personal information (such as names and dates) from your employment history and personal statement.
An initial sift based on the lead criteria (Programming and build) may be held if a large number of applications are received. If your application progresses to a full sift, all elements of the essential criteria listed under Person Specification will then be considered.
We understand that you might use AI and other resources for your application; however, please ensure all information you provide is factually accurate, truthful, and original and doesnt include ideas or work that isnt your own. This is so that your application is authentically and credibly your own. Our Careers Hub provides lots of helpful information about our 'dos and don'ts' for using AI during the recruitment process -Using AI when applying for a job at Companies House - Opportunities and how to apply - Recruitment
If your application is successful at sift, you will be invited to an interview comprising of an activity with follow up questions (instructions for the activity will be communicated in advance for you to prepare from home) as well as a series of situational questions to explore how you meet the behaviours and technical skills listed in the person specification. Further details will be provided as your application progresses.
Candidates may be required to undertake an activity as part of the selection process.
Companies House uses a blended interview technique, allowing us to find out more about you. We use the Success Profile framework and may include Strength based questions in the interview. Our recruitment process is underpinned by the principle of recruitment based on fair and open competition with decisions made on the basis of merit, as outlined in the Civil Service Commissioners Recruitment Principles.
As part of our commitment to a diverse and inclusive workforce, we ask candidates to provide an anonymous application. Please remove all identifying personal information from your CV, personal statement and application including: name; address; date of birth; dates of education.
Key dates(dates are indicative only and could be subject to change)
* Closing Date: 27th January 2025 (at 23:55)
* Sift/Shortlist: w/c 27th January 2025
* Interview: w/c 10th February 2025
Where will you be working?
You will be aligned to our Cardiff Office, where we are currently using a hybrid approach to the way we work. Our approach to hybrid working provides opportunities for you to be adaptable in the way you work so that you can achieve a healthy balance between your work and home life. The degree of choice you have will depend on business need, your role and your day-to-day work activities and will be discussed at offer stage.
Companies House cannot offer Visa sponsorship to candidates through this campaign.
Successful candidates must meet the security requirements for Security Check (SC) before they can be appointed.To gain (SC) clearance you will normally need to have been a UK resident for a minimum of 3 years out of the last 5 years, and will need to successfully complete all stages of the vetting process which includes:
* Baseline Personnel Security Standard
* Departmental/Company Records Check
* Security Questionnaire
* Criminal Record Check
* Credit Reference Check
* Security Service Check
Nationality statement
Candidates will be subject to UK immigration requirements as well as Civil Service nationality rules. If you're applying for a role requiring security clearance, please be aware that foreign or dual nationality is not an automatic bar. However certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK.
Feedback will only be provided if you attend an interview or assessment.
Security
* Successful candidates must undergo a criminal record check.
* Successful candidates must meet the security requirements before they can be appointed.