Senior Data Scientist (Europe-based, 6 months initial contract)

Jobgether; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A technology-driven company is currently seeking a Senior Data Scientist to join their international team in the UK. The role involves designing and implementing data workflows, building predictive models, and providing actionable insights from large datasets. Candidates should have a solid background in data science and be proficient in SQL and Python. This position offers flexible working hours in a collaborative, remote-friendly environment with opportunities for professional development.

Benefits

Flexible working hours

Professional development support

Health and well-being programs

Regular team events

Qualifications

• 4+ years of experience in data science, analytics, or ML projects.
• Strong expertise in statistical modeling and machine learning.
• Experience in A/B testing or product-led growth is a plus.

Responsibilities

• Build and own data science and ML workflows.
• Apply statistical modeling and communicate results.
• Visualize results to inspire action.

Skills

Statistical modeling

Machine learning

Data-driven problem solving

Interpersonal skills

Attention to detail

Tools

SQL

Python

R

Tableau

Job description

Overview

This position is posted by Jobgether on behalf of Sherpany. We are currently looking for a Senior Data Scientist in Europe.

We are seeking a highly skilled Senior Data Scientist to join a dynamic, international team focused on transforming data into actionable business insights. In this role, you will design and implement end-to-end data workflows, build predictive models, and provide clear, actionable recommendations to stakeholders. You will work with large datasets from software products, apply advanced statistical and machine learning techniques, and deliver visualizations that drive strategic decisions. The position offers the opportunity to collaborate closely with cross-functional teams in a flexible, remote-friendly environment, contributing to high-impact projects with measurable business outcomes. The ideal candidate thrives in a fast-paced, analytical setting and is motivated by turning complex data into meaningful insights.

Responsibilities

• Build and own end-to-end data science and ML workflows that generate actionable business insights.
• Apply advanced statistical or machine learning models and clearly communicate results to stakeholders.
• Collaborate with business teams to refine questions and guide data-driven decision-making.
• Visualize results effectively to highlight key findings and inspire action.
• Proactively identify opportunities to leverage data for business growth and improvement.
• Support ongoing analytics and modeling initiatives, ensuring accuracy, reproducibility, and scalability.

Qualifications

• 4+ years of experience in data science, analytics, or ML projects, including production-grade workflows.
• Strong expertise in statistical modeling, machine learning, and data-driven problem solving.
• Experience analyzing software product usage data, SaaS, A/B testing, or product-led growth (PLG) is a plus.
• Proficiency in SQL and Python or R; familiarity with dbt and Tableau is advantageous.
• Excellent interpersonal and communication skills in English, with the ability to translate complex data insights for diverse audiences.
• Strong analytical mindset, attention to detail, and problem-solving skills.
• Experience in data engineering or analytics engineering is a plus.
• Flexibility and adaptability to work in a dynamic, collaborative environment.

Benefits

• Flexible working hours and the possibility to work remotely.
• Opportunity to join a highly collaborative international team with flat hierarchy and early responsibility.
• Professional development support, including financial assistance for further education and training.
• Health and well-being programs, including support from partner platforms.
• Regular team events and a value-oriented corporate culture.
• Exposure to innovative projects and high-impact decision-making processes.