Senior Data Scientist

Accurx; London; On-site; GBP 35,000 - 45,000; Full time

Job summary

Accurx recherche un Senior Data Scientist passionné pour identifier des améliorations clés du produit et soutenir la stratégie produit. Le rôle implique l'utilisation de techniques statistiques et de machine learning pour analyser des données et développer des modèles, avec une opportunité d'impacter positivement la communication en santé au Royaume-Uni.

Qualifications

• Expertise prouvée en conception et analyse d'expériences complexes.
• Expérience pratique avec des techniques statistiques et des modèles d'apprentissage automatique.
• Solides compétences en Python et SQL, y compris la rédaction de code réutilisable.

Responsibilities

• Travailler avec les équipes produit pour conseiller sur les améliorations des données.
• Diriger des projets pour extraire des informations précieuses des données.
• Concevoir et valider des métriques de succès et aider à mesurer les progrès.

Skills

Statistical techniques

Machine learning

Python

SQL

Data visualization

Education

Degree in Data Science, Statistics, or a related field

Job description

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How you'll be contributing to Accurx as a Senior Data Scientist...

As a Senior Data Scientist you’ll be working within the product community to identify key product improvements and support the product strategy & the roadmap: you’ll be solving real world problems and building a product that is going to impact every single person in the UK!

You’ll use statistical and machine learning techniques to analyse data and develop models to understand key drivers and you’ll lead experimentation design to improve the product experience of our users.

You’ll lead projects to explore and extract valuable information from our data and work closely with the product teams to advise on data collection improvements.

You’ll help drive the maturity of the Data Science & Analytics sub team by setting the foundation needed to move our analysis capabilities from descriptive & diagnostic to predictive & prescriptive.

Your day to day tasks, should you choose to accept this mission ...

• Solve problems adaptively and value rigour and simplicity over complicated solutions
• Make appropriate trade-offs between speed and accuracy as you’ll be working in a fast-moving environment
• Code for scalability, creating re-usable scripts and utilities that brings data science as a discipline to the next level
• Work closely with Product Managers supporting and suggesting experiments, time series forecasting and building predictive models (including ML)
• Code for privacy & security, keeping our users and patients privacy and security in mind all the time and suggesting processes and technologies for anonymisation
• Work closely with Product leads in designing and validating success metrics as well as helping them to measure progress and align with the business objectives (OKRs setting)
• Support & mature the company data culture so that decisions are supported and/or driven by data

We'd really like to hear from you, if ...

• Proven expertise in designing, executing, and analysing complex experiments end-to-end.
• Hands-on experience with statistical techniques (e.g., regressions, matching) and machine learning models (e.g., Naive Bayes, XGBoost).
• Strong Python and SQL skills, including writing reusable, standardised code and working in analytical environments like Snowflake.
• Experience conducting exploratory data analysis, including visualisations and identifying product key drivers.
• Ability to collaborate with product teams, set success metrics (OKRs), and align insights with business goals.
• Familiarity with best practices for handling sensitive data, ensuring privacy and anonymity.

How you work...

At Accurx we believe in making every day count as we hold a vital role in supporting our users by driving innovative solutions to fix healthcare communication. We want everyone at Accurx to reflect our principles in how they work by looking to:

️ Raise the bar

Be a driver, not a passenger

Succeed together

️ Embrace challenge

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Science

• Industries

  IT Services and IT Consulting and Software Development

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