Senior Product Manager (Data Science) - Life Sciences

About SciLeads: 

SciLeads is a fast-growing, remote-first SaaS company helping reshape how scientific companies do sales and marketing. With over 90 people across the UK, Canada, and beyond, and plans to grow to 150+ in the next two years, our culture of openness, flexibility and innovation drives everything we do.

We’re an award winning company, and have been listed as one of Deloitte’s fastest growing tech companies for five years in a row. We are passionate about putting people first and committed to creating an outstanding employee experience as a remote working company. Come grow your career with us!

About the Role:

As a Senior Data Science Product Manager, you will play a critical role in helping SciLeads unlock the full value of its data. This role is focused on deeply understanding life sciences data, analysing complex datasets, and transforming them into clear, actionable insights that inform product strategy, commercial decisions, and customer value. 

You will work closely with Product, Engineering, Sales, and Customer Success to ensure that our data is not only robust and scalable, but also usable, interpretable, and impactful. This role is ideal for someone who enjoys working hands-on with data, communicating insights clearly, and influencing decision-making across the business.

Development Opportunities: 

This role offers significant opportunities for growth as SciLeads continues to scale its data capabilities. You will help shape how analytics and market intelligence features supported by data science are embedded across the organisation, with increasing ownership over analytics and data intelligence strategy, tooling, and best practices. 

You will have the opportunity to mentor others, influence senior stakeholders, and progress into more senior data science leadership roles as the company grows.

Key Responsibilities: 

Data Analysis & Insight  

• Analyse complex datasets to identify trends, opportunities, and customer value 
• Translate raw data into clear, actionable insights for product, sales, and leadership teams 
• Produce and own concise, high-quality written reports and presentations that clearly communicate analyses, assumptions, and recommendations 

Life Sciences Data Expertise 

• Develop deep knowledge of SciLeads’ data including its structure and strengths 
• Ensure outputs are scientifically credible and aligned with industry standards 
• Act as a subject-matter expert on how SciLeads’ data should be interpreted and used 

Product & Engineering Collaboration 

• Partner with Product Managers to inform roadmap priorities and validate new features 
• Define data requirements, success metrics, and insight outputs for customer-facing products 
• Work with Engineering to ensure analytics solutions are scalable, reliable, and usable 

Data Science & Advanced Analytics 

• Apply statistical, data science, and AI/ML techniques to improve data quality, enrichment, segmentation, and insight generation 
• Build and iterate on analytical, predictive, and AI-enabled models supporting growth, retention, and engagement 
• Balance exploratory analysis with production-ready solutions that can scale across products and customers 

Business & Customer Impact 

• Track competitive and market trends, converting insights into actionable analytics 
• Support Sales and Customer Success with insights that articulate customer value 
• Answer complex business questions through structured data exploration 
• Ensure analytics outputs align with real customer workflows and use cases 

Continuous Improvement & Strategic Contribution 

• Improve how data is analysed, visualised, and communicated across the company 
• Contribute to analytics standards, tooling, and best practices as SciLeads scales 
• Promote strong data literacy and a data-driven culture internally 

Essential Skills and Experience: 

• Demonstrated experience at a senior product manager level, analysing complex data to uncover meaningful insights that support informed business and product decisions
• Deep knowledge of life sciences or scientific data, with care and attention to accuracy, credibility, and industry standards
• Demonstrated data science experience, applying statistical, analytical, and machine learning techniques to generate robust, scalable insights
• Excellent written and verbal communication skills, with the ability to clearly and confidently share insights, context, and recommendations with senior stakeholders
• Strong understanding of customer and commercial needs, using data to support sales, customer success, and long-term value creation

Technical Skills 

Essential: 

• SQL, relational databases, and python  
• Experience with NLP and foundational statistics 
• Knowledge in training ML models 
• Data visualisation 

Desirable: 

• Knowledge in AWS or other cloud computing 

Benefits: 

• Fully remote working
• £750 home office allowance
• £200 personal development allowance
• Private Healthcare & Dental Plan with Bupa 
• 25 days holiday plus public/bank holidays
• A day off for your birthday! 
• Pension Scheme 
• Women in Business NI Membership
• A truly flexible working culture
• Quarterly meet ups
• Virtual office to hang out with colleagues

SciLeads is an equal opportunities employer, we welcome and encourage applications of all nationalities, backgrounds and genders. This job posting is for an active position in SciLeads. 

Our application process is designed to be quick and easy! We value your time, so we won’t ask you to rewrite your CV. All we ask is that you upload your CV and fill in all the mandatory fields. Any additional fields are for you to provide us with more information if you wish to do so.