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- Tasks: Lead data analysis to transform complex datasets into actionable insights for product strategy.
- Company: Join SciLeads, a fast-growing remote-first SaaS company reshaping scientific sales and marketing.
- Benefits: Enjoy a competitive salary, private healthcare, flexible working, and a £750 home office allowance.
- Why this job: Make a real impact in life sciences while growing your career in a supportive environment.
- Qualifications: Experience in product management and data science, with strong communication skills.
- Other info: Be part of a dynamic team with opportunities for mentorship and leadership growth.
The predicted salary is between 36000 - 60000 £ per year.
Remote, United Kingdom
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 are 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.
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.
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
- 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
- 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
- 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
- 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
- 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
- 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: SQL, relational databases, and Python; Experience with NLP and foundational statistics; Knowledge in training ML models; Knowledge in AWS or other cloud computing
Fully remote working
£750 home office allowance
Private Healthcare & Dental Plan with Bupa
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.
Senior Product Manager (Data Science) - Life Sciences in London employer: SciLeads
Contact Detail:
SciLeads Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager (Data Science) - Life Sciences in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at SciLeads. A friendly chat can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by diving deep into life sciences data trends. Show us you know your stuff and can translate complex data into actionable insights.
✨Tip Number 3
Don’t just talk about your skills; demonstrate them! Bring examples of how you've used data science techniques to drive product decisions in past roles.
✨Tip Number 4
Apply through our website for a smoother process. We keep it simple, so you can focus on showcasing your expertise without the hassle of lengthy applications.
We think you need these skills to ace Senior Product Manager (Data Science) - Life Sciences in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and product management, especially in the life sciences sector. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for SciLeads. We love seeing enthusiasm and a personal touch.
Showcase Your Data Skills: Since this role is all about data, make sure to highlight your technical skills, especially in SQL, Python, and any experience with machine learning. We want to know how you've used these tools to drive insights in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smooth application process. It’s quick and easy, and we promise not to ask you to rewrite your CV. Just upload it and fill in the mandatory fields!
How to prepare for a job interview at SciLeads
✨Know Your Data Inside Out
As a Senior Product Manager focused on data science, it's crucial to have a deep understanding of life sciences data. Before the interview, brush up on the specific datasets SciLeads uses and be prepared to discuss how you would analyse them to extract actionable insights.
✨Communicate Clearly and Confidently
You’ll need to convey complex data insights to various stakeholders. Practice summarising your past experiences and insights in a clear, concise manner. Use examples that demonstrate your ability to translate raw data into meaningful recommendations.
✨Showcase Your Technical Skills
Familiarise yourself with SQL, Python, and any relevant machine learning techniques. Be ready to discuss how you've applied these skills in previous roles, especially in relation to data analysis and product management.
✨Understand the Company Culture
SciLeads values openness and innovation. Research their company culture and think about how your personal values align with theirs. Be prepared to share how you can contribute to their flexible and collaborative environment.
