Data Scientist | Remote

Crossing Hurdles; United Kingdom; On-site; GBP 40,000 - 70,000; Full time

Job summary

Crossing Hurdles is seeking a data analyst to collect, preprocess, and analyze diverse data sets. You will develop predictive models and deliver insights through compelling visuals for stakeholders across the business.

The role requires strong statistics background, experience with large data sets, and proficiency in Python or R, plus Tableau or Power BI for visualization. A collaborative, end-to-end project approach is essential.

Qualifications

• Experience in statistics, mathematics, and data analysis techniques.
• Experience collecting, handling, and cleaning large, complex data sets.
• Proficiency in Python, R, or similar for data manipulation and modeling.
• Strong data modeling skills with experience building and validating predictive models.
• Advanced ability to visualize data using Tableau, Power BI, or related libraries.

Responsibilities

• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.

Skills

Statistics

Data analysis

Python / R

Data modeling

Data visualization

Tools

Tableau

Power BI

Job description

Responsibilities

• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.

Qualifications

• Have strong relevant experience in statistics, mathematics, and data analysis techniques.
• Have proven experience in collecting, handling, and cleaning large, complex data sets.
• Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
• Possess strong data modeling skills with experience in building and validating predictive models.
• Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.