

Lorien
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist focused on product analytics within financial services, offering a 6-month contract at up to £600/day, mostly remote with ad-hoc London travel. Requires 10+ years in data science, strong SQL, and experience with product analytics platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
600
-
🗓️ - Date
February 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Predictive Modeling #Python #Visualization #Tableau #Leadership #R #Data Science #Strategy #SQL (Structured Query Language) #Amplitude #BI (Business Intelligence) #Data Quality #Compliance #Looker #Microsoft Power BI #Statistics #A/B Testing #ML (Machine Learning) #Data Strategy
Role description
Senior Data Scientist – Product Analytics (Contract)
Mostly Remote | Ad-hoc London Travel
6 Month Contract | 💷 Up to £600/day (Inside IR35)
We’re looking for a Senior Data Scientist to join our product team, focused on enhancing our multi-tenant digital platform for workplace pension members. In this role, you’ll harness data to uncover insights into member behavior, drive personalization, and optimize the experience across a variety of employer-branded portals.
Role Summary:
You’ll play a key role in shaping the data strategy behind our member-facing products, analyzing engagement patterns, guiding product decisions, and supporting the delivery of tailored pension experiences. With a multi-tenant setup serving diverse employers and user segments, your work will help us better understand member needs, improve outcomes, and deliver on our promise of financial confidence. You’ll play a pivotal role in guiding junior team members and fostering a culture of data excellence across the organization.
Key Responsibilities:
• Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
• Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies.
• Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc.
• Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
• Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
• Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
• Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
• Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.
Skills & Expertise:
• 10+ years of experience in data science, analytics, or related roles—ideally within fintech, pensions, insurance, or employee benefits domains.
• Strong SQL skills and experience working with large, complex data sets.
• Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
• Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
• Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
• Solid grasp of statistics, experimentation design, and causal inference techniques.
• Excellent communication and stakeholder management skills—able to influence and align diverse teams.
• Demonstrated team leadership or people management experience.
Bonus Points for:
• Experience working with multi-tenant platforms or white-labelled products.
• Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
• Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
• Knowledge of privacy regulations and data handling best practices in financial services.
If you’re a Senior Product-focused Data Scientist with multi-tenant platform + product analytics + financial services experience, we’d love to hear from you.
Senior Data Scientist – Product Analytics (Contract)
Mostly Remote | Ad-hoc London Travel
6 Month Contract | 💷 Up to £600/day (Inside IR35)
We’re looking for a Senior Data Scientist to join our product team, focused on enhancing our multi-tenant digital platform for workplace pension members. In this role, you’ll harness data to uncover insights into member behavior, drive personalization, and optimize the experience across a variety of employer-branded portals.
Role Summary:
You’ll play a key role in shaping the data strategy behind our member-facing products, analyzing engagement patterns, guiding product decisions, and supporting the delivery of tailored pension experiences. With a multi-tenant setup serving diverse employers and user segments, your work will help us better understand member needs, improve outcomes, and deliver on our promise of financial confidence. You’ll play a pivotal role in guiding junior team members and fostering a culture of data excellence across the organization.
Key Responsibilities:
• Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
• Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies.
• Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc.
• Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
• Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
• Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
• Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
• Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.
Skills & Expertise:
• 10+ years of experience in data science, analytics, or related roles—ideally within fintech, pensions, insurance, or employee benefits domains.
• Strong SQL skills and experience working with large, complex data sets.
• Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
• Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
• Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
• Solid grasp of statistics, experimentation design, and causal inference techniques.
• Excellent communication and stakeholder management skills—able to influence and align diverse teams.
• Demonstrated team leadership or people management experience.
Bonus Points for:
• Experience working with multi-tenant platforms or white-labelled products.
• Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
• Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
• Knowledge of privacy regulations and data handling best practices in financial services.
If you’re a Senior Product-focused Data Scientist with multi-tenant platform + product analytics + financial services experience, we’d love to hear from you.






