Job Description
Role: Data Scientist
Salary: £45,000 p.a.
Location: Cardiff, Remote
Closing Date: 31st of March 2023
**** Please send all documents in PDF Format ****
Organisation profile
Empirisys is a recently formed tech start-up (www.empirisys.io). We believe that great organisations are underpinned by great cultures and great leaders. We help our clients understand and improve culture and leadership effectiveness through creating insight from difficult to access data and information to help some of the world’s largest, most technically complex organisations be safer, more environmentally sustainable, and more productive.
We are committed to growing a business founded on trust, integrity, and teamwork. We embrace diversity and wish to be as inclusive as possible so as to attract the very best talent to our company. Above all, we want to work with people who share our passion for our core values of learning, creativity, and collaboration every day.
We are a virtual business by design. We work remotely, but we meet every day using Teams; we use collaborative software to deliver our projects in an Agile manner, and we meet face to face (COVID restrictions allowing) to brainstorm problems, build our team spirit, and have fun.
What we are looking for
We are looking for an experienced and enthusiastic data scientist to join our company on a full-term basis. In particular, we are looking for a data scientist that can help us deliver client projects and build new products for our clients.
The newly appointed data scientist will:
- Support our existing client work by modelling organisational data and delivering outputs back to clients
- Communicate efficiently with subject-matter experts and clients to refine the data science outputs provided
- Get involved with building data science products for our clients that are specifically designed to improve safety performance and safety culture in the workplace
Skills required
Essential
- Fluency in English (and second languages are greatly valued)
- Proficient in building machine learning and statistical models
- Experience in building data pipelines
- Experience with Cloud Technology development (Azure, AWS, GCP, etc)
- Comfortable manipulating and analysing data in Python
- 2-3 years of experience working as a data scientist (or equivalent)
Desirable
- Experience with SQL and data structures
- Experience with R
- Experience using APIs
- Experience working in data science teams
- Understand the demands of working in a Start-up on lean, agile projects – must be self-driven and able to work remotely, without assistance and with little day to day supervision
Personal profile
The key differentiator is you as a person, about your attitude and behaviours and what drives you to excel and succeed. This will be crucial in our decision-making and we are looking for candidates who can demonstrate in their application, supported as far as possible by examples, that they:
- Enjoy collaborating with others in an open, transparent manner, even when things go wrong
- Are a forward-thinking person who takes a continuously proactive, self-improving approach
- Demonstrates high personal integrity and always strives to do the right thing
- Enjoy learning new skills through applying ideas into practice
- Like to help to create a culture of creativity within the workplace
- Have excellent written and verbal communication skills in English
- Can work remotely and still be self-motivated to deliver and prioritize to meet tight deadlines and conflicting priorities
Right to work in the UK
It is essential that, if you are not a UK citizen, you can demonstrate that you have indefinite leave to remain in the UK. If you have applied to the EU Settlement Scheme to continue living in the UK but have not yet received confirmation, you must be able to provide your certificate of application if you are selected for interview. Empirisys will not select anyone for interview who does not meet these criteria, including candidates on a student / education visa.
What’s in it for you?
- You will gain experience by delivering meaningful projects, as well as getting involved in many other activities connected to working in a small technology start-up
- You will be mentored by one of our team who will push you to be the best version of you
- You will be provided with personal development time, as we value self-improvement and continuous learning
- We will pay you £45,000 p.a.
- We offer flexible working hours and, depending on your location, flexible office hours
- You will be eligible to participate in our contributory company pension scheme and Benefits Plan
- You will be eligible to participate in our discretionary bonus scheme, which depends on both your own personal and the company’s performance
Location:
The role is based in the UK but will be remotely located; our preference is for the candidate to be located reasonably close to the M4 corridor between London and Cardiff to facilitate travel to team meetings. However, this is not an essential requirement. Our Cardiff office is located in the Sbarc|Spark Building on Maindy Road.
Equal opportunities
We are completely intolerant of any discrimination on whatever grounds and we aim to treat everyone equally and with the same attention, courtesy and respect regardless of their age, disability, gender, marital status, race, racial group, colour, ethnic or national origin, nationality, religion, belief or sexual orientation.
Next steps and Application process
If you think you have got what it takes, please apply with your CV to nyala@empirisys.io. Please include at least one professional reference in your CV. We will not contact them without your permission. Please confirm in your application that you have the unrestricted right to work in the UK.
Data protection and privacy
Empirisys has a legitimate interest in asking for your application and CV under the GDPR Regulations and we will treat this information in accordance with our privacy policy which is available upon request.
Closing date: 31st of March 2023 – Please note that we reserve the right to close this opportunity early if sufficient applications are received
**** Please send all documents in PDF Format ****
Job Type: Full-time
Salary: £45,000.00 per year
Benefits:
- Casual dress
- Company pension
- Cycle to work scheme
- Flexitime
- On-site parking
- Work from home
Schedule:
- Flexitime
- Monday to Friday
Supplemental pay types:
COVID-19 considerations:
We work remotely and follow all current government guidelines at our Cardiff office.
Education:
Experience:
- Data science: 2 years (required)
Work authorisation:
- United Kingdom (required)
Work Location: Hybrid remote in Cardiff
Application deadline: 31/03/2023
Reference ID: EMP_DS2
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