Job Description
We are seeking a skilled Data Scientist / Data Engineer to join our team and play a key role in designing, developing, and delivering high‑quality data solutions. This role combines strong analytical capability with practical engineering skills to build robust data pipelines, develop predictive models, and generate insights that support data‑driven decision‑making.
The ideal candidate will have hands‑on experience across SQL, Python or R, modern cloud platforms, machine learning techniques, and visualisation tools. They will be comfortable working in an agile environment, collaborating across teams, and ensuring the reliability, accuracy, and integrity of data assets.
Applicants must be:
* UK resident without the need for visa sponsorship
* Based in Belfast, with the ability and willingness to work on‑site 2–3 days per week.
* Excellent communications skills, both written and verbal in the English language
Qualifications
Required Skills & Experience
* Strong proficiency in SQL, Python, and/or R.
* Experience with machine learning model development and evaluation.
* Hands-on experience with ETL tools and SQL development platforms.
* Working knowledge of cloud environments (Azure, Fabric, AWS).
* Ability to work with large datasets and apply data quality principles.
* Ability to present complex insights in a clear and simple manner.
* Experience working in Agile delivery teams.
Database & Cloud Management
* Experience working with relational databases such as Microsoft SQL Server and Oracle.
* Ability to use cloud services across Microsoft Azure, Microsoft Fabric, and AWS to support data pipelines and analytics workloads.
Visualisation & Reporting
* Experience building dashboards and reports using Power BI or Tableau.
* Ability to translate analytical findings into compelling visual narratives for stakeholders.
Desirable Skills
* Experience with additional ML interpretability methods (e.g., SHAP, LIME).
* Knowledge of CI/CD practices for data workflows.
* Understanding of data governance, lineage, and cataloguing tools.
* Exposure to modern data platforms or Lakehouse architectures.
Personal Attributes
* Strong analytical thinker with excellent problem‑solving skills.
* Collaborative and confident working with cross‑functional teams.
* Self‑motivated, curious, and comfortable learning new tools or technologies.
* Detail‑oriented with a commitment to high data quality.
Additional Information
Why Version 1?
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
* Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits.
* Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme.
* Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance.
* Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme.
* Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies.
* Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
* Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
* Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
And many more exciting benefits… drop us a note to find out more.
Ekta Bahl - Talent Acquisition Capability Partner
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