Remote-first – with Office Space
Fully flexible hours
Title: Data Scientist
Employment Type: Full-Time
Location: Remote, Sri Lanka
Number of positions: 1
We are looking for an experienced Data Scientist who would be excited to work on a novel project delivering actionable insights from zero/first-party consumer data.
The ideal candidate would be involved in developing novel computational pipelines (using open-source programming environments), permitting Vault to determine the quality and veracity of its data repositories. This framework would provide an essential foundation for developing novel machine-learning algorithms, allowing Vault to gain rapid and informative insights into consumer behaviour.
Vault Data is seeking to recruit a candidate for the role of Data Scientist with immediate effect. The individual must have direct project experience in either an industrial or academic setting. We will consider candidates educated to either BSc or MSc level depending upon their combined knowledge and experience. The individual must evidence an ability to exploit open-source computing languages, including Python and R, as this will be a key requisite for this role.
A major objective for this pivotal position will be the development of quality control pipelines using objective statistical reporting metrics that can be applied towards the analysis of structured (in the first instance), semi-structured and unstructured data sources. The goal will be to integrate these statistical measurements into an overall quality assurance program that can be used to concisely report the company’s performance to both technical and non-technical personnel.
Vault requires that the Data Scientist is a team player, given that the candidate will be expected to work closely with a variety of specialities, including Cloud Engineers and machine learning/AI architects. Given the sensitivity of the personal data that will be collected and processed by the candidate, all activities pipelines must be integrated into an overall quality assurance programme (e.g. ISO27001).
The requirements listed are for guidelines only. You do not have to satisfy all of the conditions listed. If your skills are transferable, we encourage you to apply. Applying presents an opportunity for you to be considered.
- Experience of working on projects using real-world data and the challenges associated with such an approach
- Experience in using python and key libraries such as Pandas and NumPy for data processing (take on, clean-up, transformation)
- Experience in python visualisation/statistical reporting libraries such as Seaborn, Matplotlib
- Experience of producing web-based reporting tools (e.g. Shiny (R) dashboards)
- Five years experience working as a Data Scientist
- Experience of developing quality control pipelines and integrating these into a quality assurance programmes
- Experience of working as part of a multi-disciplinary team
At Vault Data, we are putting the power of data into the hands of the individual to rebalance the world of data, giving control back to people whilst they benefit from the profit.
Established in 2022 in the heart of the Jewellery Quarter in Birmingham, we are a driven and inclusive team co to making Vault Data the number one data governance company in the UK by 2024. To get us there, the team has been researching market research, technology and innovation, AI learning and advertising to ensure Vault Data will deliver to the customer and any business/brands utilising our services. Our journey moving forward is to develop our software and service offerings for a soft launch in September 2023.
Vault Data has made pledges to be socially and environmentally aware by registering to become a B-Corp, along with commitments to register with other accredited businesses that provide a safe working environment and certifications in ethical business practices.
Keep posted with the journey at Vault Data, as this exciting adventure will continue to make waves within the growth of the business.
How We Hire
At Vault Data, we are passionate about creating an open, inclusive, diverse and transparent environment for everyone. We are proud of our recruitment workflow and will ensure all candidates are treated fairly, equally, and without biases during their journey with us. Additionally, all our job adverts are gender-neutral, and we also have a gender-neutral recruitment panel.
Our interview process is either a 2 or 3-stage process (it is very rarely 3), and we even give candidates the option to choose how they would like to be assessed for technical interviews, as we understand people work differently from each other 🙂.
We prefer a technical discussion, a pair programming session, a design review, or a debate on agile anti-patterns, but if you prefer a take-home assessment instead, we have platforms that are easy to use. We don't expect you to spend more than 30 - 45 minutes of your valuable time taking the assessment!
Regardless of the outcome, we aim to give every candidate feedback and encourage candidates to provide us with one too!
We are an Equal Opportunities Employer
We are an Equal Opportunities Employer, an inclusive company with values grounded in equality and ethics, where we celebrate and embrace diversity. We are dedicated to providing equal opportunities to our existing employees and those considering joining us, and we believe that different perspectives and backgrounds are what make us successful.
We have a range of employees who are unique to themselves (neurodiversity, gender, ethnicity, and more), but we aim to be better. We welcome and encourage diverse applicants and will always listen and adapt to the needs of the individual.
Therefore, you are encouraged to apply regardless of your background, gender, age, ethnicity, sexual orientation, religion, race, disability, social status, etc. All qualified applicants will receive equal consideration for employment regardless of any protected characteristics from the Equality Act (2010).
The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility
First we assess the flexibility options Vault Data provides and then we anonymously survey a statistically significant proportion of their employees to make sure Vault Data is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.
We ask the hard questions so you don’t have to.
Working at Vault Data
Gender diversity (male:female)
What employees are saying
I think Vault is a brilliant place to work with an excellent culture. we at Vault pride ourselves to ensure everyone has a good work life balance and making sure workload and job flexibility work for each individual
Vault Data Employee