Data Scientist - Hybrid

Exposed Solutions; Northern Ireland; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A dynamic data analytics organization is seeking an experienced Data Scientist to deliver high-quality data solutions and collaborate with clients. The ideal candidate has strong skills in data modelling and machine learning, and proficiency in Python and SQL. The role offers a supportive environment with flexible working arrangements and benefits including private health insurance and ongoing professional development.

Benefits

35 days annual leave

Private health insurance

Contribution to gym membership

Ongoing professional development support

Qualifications

• Strong knowledge of data modelling, machine learning, and advanced data analytics.
• Demonstrable track record of delivering data analytics projects as part of a team.
• Hands-on experience with collaborative software development and version control.

Responsibilities

• Deliver high-quality data science solutions and contribute to product roadmaps.
• Collaborate with clients to gather requirements and validate solutions.
• Develop predictive and prescriptive analytics by integrating data sources.

Skills

Data modelling

Machine learning

Advanced data analytics

Python

SQL proficiency

Tools

Git

Docker

Kubernetes

Job description

Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced Data Scientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations.

Key Responsibilities

• Deliver high-quality data science and analytics solutions, contributing to design, development, and product roadmaps.
• Collaborate with clients and internal teams to gather requirements, analyse data, and validate solutions.
• Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources.
• Produce clear documentation, reports, and visualisations.
• Provide technical input for proposals, solution scoping, and proofs-of-concept.
• Attend occasional client meetings or events across the UK, Europe, and internationally.

Required Experience

• Strong knowledge of data modelling, machine learning, and/or advanced data analytics.
• Demonstrable track record of delivering data analytics projects as part of a team.
• Hands-on experience with collaborative software development and version control (preferably Git).
• Familiarity with Agile/SCRUM methodologies.
• Exposure to pre-engagement activities such as project scoping, technical feasibility analysis, or prototype development.
• Comfortable contributing to technical discussions and implementing solutions defined by project leads.

Desirable Experience

• Strong Python expertise.
• Experience with GNU/Linux environments.
• Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face).
• Experience in natural language processing, tabular data analysis, or computer vision.
• SQL proficiency.
• Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures.
• Experience with CI/CD, automated testing, and iterative product development.
• Knowledge of graph databases and graph analysis.

Benefits

Our client offers an exciting and supportive environment with a strong focus on employee wellbeing and career development. Benefits include:

• 35 days annual leave (including public holidays) plus up to 10 days unpaid leave.
• Flexible working arrangements around core hours.
• Private health insurance and pension scheme.
• Contribution to gym membership.
• Ongoing professional development support (courses, certifications, conferences).
• Regular company outings, team celebrations, and knowledge-sharing sessions.
• Monthly recognition of outstanding performance.

ALL APPLICANTS MUST BE FREE TO WORK IN THE UK.

Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds and we confirm that we will gladly accept applications from any persons for this role.