Senior Product Data Scientist

Entrust Datacard
Looe
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Junior Data scientist

Lead Data Scientist

Lead Data Scientist

Join us at Entrust

At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.


Get to Know Us

Headquartered in Minnesota, Entrust is an industry leader in identity‑centric security solutions, serving over 150 countries with cutting‑edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.


Senior Product Data Scientist

We’re looking for an experienced Senior Product Data Scientist. You will support the Product organization to make data‑driven decisions. You will work on complex and never before explored problems delivering insight on unique and interesting datasets. This role is a hands‑on delivery‑oriented role by owning one of the key delivery­workstreams. We work in an Agile environment where we are constantly learning and exchanging ideas.


The Team/Projects You will be working on:

The Biometrics team ensures that the selfies and video clips that users submit feature real humans. These teams are growing our new facial products (Facial Similarity for photo and video, Known Faces, motion, and verification) for live detection, providing a substantial leap in selfie and video verifications.


You will have the opportunity to work on Biometric Projects ranging from improving the SDK experience to detecting deep fakes.


What you will do:

  • Technical hands‑on delivery on measuring product performance through the product development cycle i.e. design experiments to test the hypothesis, define success metrics of features, and define the data points needed capturing to facilitate accurate measurement.
  • Apply technical data skills (data science, statistics, coding/scripting) and expertise to produce strategic as well as tactical insights that will aid product strategy, discovery, and planning.
  • Work in partnership with product managers, applied scientists and engineers to define, measure, and communicate product metrics.
  • Act as a mentor for junior Product Data Scientists, providing guidance on their development, and supporting and reviewing delivery when needed.
  • Ensure alignment in analytical delivery between Product, R&D, and Analytics Engineering Team.
  • Be a thought leader in the use of data and analytics, help and educate a diverse group of data users to utilise Entrust's tools and data assets.

Requirements:

  • Extensive experience in end‑to‑end analytical delivery, i.e. requirement capture, stakeholder management, metric design as well as delivering complex analysis.
  • Solid demonstrable technical experience using analytical tools, statistics, and data science techniques to build experiments, test hypotheses, and conduct analysis.
  • Demonstrable experience in looking at data from a variety of angles (i.e. product/commercial performance, operations, finance, and user experience) using both technical skills and deep product/business understanding.
  • Experience in mentoring and nurturing other members of the team.
  • Strong technical experience with SQL and Python.
  • Be a self‑starter who takes the initiative in spotting opportunities and finding ways to solve business problems using data.
  • Comfortable with engaging with all levels of stakeholders and explaining complex technical issues to non‑technical audiences.

Desirable:

  • Experience in working with technology and product development teams.
  • Good understanding of Agile methodologies.
  • Experience with BI tools (i.e. Looker, Tableau etc.).
  • Experience in using big data & cloud technologies.
  • SaaS and Product analytics background, understanding how to devise metrics and KPIs in a SaaS environment.
  • Experience in Machine Learning, building data products using ML.

Locations:

  • London, UK – Hybrid work model (3 days per week in‑office)
  • Paris, France – Flexible work model (Hybrid or fully remote)

Benefits UK

  • 25 days annual leave plus a day off for your Birthday.
  • Two paid volunteering days per year.
  • Bupa Private Medical and Dental Insurance.
  • Pension with The People’s Pension (employer contribution 4% of base salary).
  • Generous paid parental leave.
  • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy.
  • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more.
  • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events.
  • Expense up to £300 (or local equivalent) to purchase workstation setup equipment.
  • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups.

Benefits France

  • 25 days annual leave plus + RTT + 1 day off for your birthday.
  • Two paid volunteering days per year.
  • Meal Vouchers provided by Swile. We cover 50% and 50% is deducted from your payroll.
  • Health Insurance (Mutuelle) provided by ALAN.
  • Disability & Life insurance (Prevoyance) provided by ALAN (3x Base Salary).
  • Commuter reimbursement up to €40 per month.
  • Life enrichment allowance of up to €95 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy.
  • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more.
  • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events.
  • Expense up to £300 (or local equivalent) to purchase workstation setup equipment.
  • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups.

At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:



  • Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning‑forward initiatives and exciting challenges, your growth is our priority.
  • Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on‑site, we offer flexible options that fit your lifestyle.
  • Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.

Ready to Make an Impact?

If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.


Apply today!

For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube.


For US roles, or where applicable:


Entrust is an EEO/AA/Disabled/Veterans Employer

For Canadian roles, or where applicable:


Entrust values diversity and inclusion and we are committed to building a diverse workforce with wide perspectives and innovative ideas. We welcome applications from qualified individuals of all backgrounds, and we strive to provide an accessible experience for candidates of all abilities.

If you require an accommodation, contact .


Recruiter: Jack Steib


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.