Job Overview

My client is hiring a commercially minded Data Scientist to drive insight-led decision-making across a global healthcare events portfolio. Reporting to the Marketing Director, this newly created role will play a key role in unlocking growth across audiences, exhibitors, and revenue. You’ll turn complex data into clear, actionable insights that inform marketing, commercial, and product strategy - helping the business move faster and smarter.

Company Overview

Salt is a global recruitment agency specializing in digital roles across various sectors including Information Technology and Marketing Services. With a presence in Dubai, United Arab Emirates, Salt connects top talent with leading companies worldwide.

Quick Details

Salary Range: Market Competitive
Job Type: Full-time
Qualifications: Bachelor’s Degree
Experience: Mid-Senior level

Key Responsibilities

Translate marketing, audience, and exhibitor data into actionable strategic insights.
Identify growth opportunities through audience behaviour and segmentation analysis.
Build and measure growth loops across engagement, retention, and referrals.
Analyse campaign performance, attribution, and ROI to optimise spend.
Develop predictive models for attendance, leads, and exhibitor demand.
Design dashboards and reporting that support real-time decision-making.

Requirements

5+ years’ experience as a Data Scientist or Senior Analyst (marketing, SaaS, or events experience preferred).
Strong expertise in data modelling, predictive analytics, segmentation, and growth analytics.
Proficient in Python, SQL, Power BI (or similar tools).
Experience working with CRM and marketing automation data.
Commercially focused, with the ability to link insights to revenue and growth.
Confident communicator who can influence non-technical stakeholders.

Benefits

Opportunity to drive insight-led decision-making in a global healthcare events portfolio.
Newly created role with the chance to make a significant impact on growth.
Work closely with the Marketing Director and cross-functional teams.
Develop predictive models and strategic insights.
Contribute to marketing, commercial, and product strategy.

Data Scientist