Senior Data Scientist

LA International; Manchester; Hybrid; GBP 89,000 - 107,000; Full time

Job summary

LA International is recruiting a Senior Data Scientist for a 12 month contract initially, with extensions possible. The role is based in Manchester with a hybrid pattern: three days per week onsite.

You will combine data science delivery with data storytelling, build Power BI dashboards, and oversee end-to-end model lifecycle—from exploration and feature engineering through validation, productionisation, monitoring and integration into business workflows—while engaging senior stakeholders.

Qualifications

• Proven track record delivering measurable business value through analytics and data science.
• Experience in data product development.
• Ability to translate insights for non-technical audiences.

Responsibilities

• Engage with stakeholders to translate analytics into clear insights.
• Develop Power BI dashboards as part of model productionisation.
• Deliver end-to-end data science model lifecycle from exploration to deployment.
• Present insights to senior stakeholders and influence decisions.
• Balance analytical and data science work across domains.

Skills

Data Science

Data Analytics

Power BI

Data Product Dev

Feature Engineering

Model Development

Tools

Power BI

Job description

Senior Data Scientist

12 Month contract initially + Extensions

Based: Hybrid - 3 days p/w onsite in Manchester

Rate - £480 - £580 p/d via Umbrella

We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference.

Data Scientist with a proven track record of delivering measurable business value through analytics, data science, and data product development.

Key Responsibilities:

• Combine strong technical expertise with excellent stakeholder engagement, communication, and data storytelling skills.
• Translate complex analytical concepts into clear, actionable insights for non-technical audiences and senior stakeholders.
• Progressed through a Data Analytics and Visualisation background before moving into Data Science.
• Understand how to present insights, influence decision‑making, and build compelling user experiences.
• Focus beyond being a purely technical modelling specialist.
• Comfortable operating across both analytics and data science disciplines.
• Build intuitive Power BI dashboards that act as the first stage of model productionisation before solutions are integrated into broader business workflows and operational processes.

Key Skills & Experience:

• Data Science & Data Analytics
• Data Visualisation & Power BI, including AI-enabled Conversational Insights
• Data Product Development
• Exploratory Data Analysis (EDA) & Feature Engineering
• Model Development & Selection
• Model Validation & Governance
• Model Productionisation & Monitoring
• End-to-End Data Science Model Lifecycle Management
• Analytics Integration into Business Workflows & Operational Processes

Desirable skills/knowledge/experience:

• Financial Services experience, particularly within Wealth Management, Asset Management, Banking, or FinTech, is highly desirable.
• Strong interest in investor behavior, client journeys, and how clients make investment decisions is beneficial.
• Exposure to AI-enabled solutions, Generative AI, or AI Engineering concepts is an advantage but not a core requirement.

This is an excellent opportunity on a great project of work,

We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported.

We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply.

If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.

Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.