Jr Data Scientist

Job Title: Jr Data Scientist

Location: Hybrid

Starting Salary: £27,000 - £35,000

About Us: Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector. Our HTD Programme is a fixed 2-year commitment between Evolution and the data consultant, where customers have the option to hire the consultant permanently at the end of the agreed deployment period.

Why Evolution: 🔥 Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio. Tackle challenging data visualisation projects that will enhance your skills, broaden your network, and equip you with the tools to excel in data analysis and deployment.

📚 Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous. Over several years, you will engage in ongoing education, obtaining industry-recognised qualifications tailored to your abilities, including Data Analysis, Data Visualisation, Advanced Analytical Techniques, and more.

🎓 Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers. Leverage their expertise to advance your career path in the data field.

Job Description:

Requirements

Experience:

• 2-3 years of experience in data science, with a strong focus on Python-based data analysis and machine learning.

Technical Skills:

• Proficiency in Python for building and deploying machine learning models.
• Expertise in SQL for data querying and transformation.
• Hands-on experience with AWS for cloud-based data processing and model deployment.
• Familiarity with Azure DevOps (ADO) for version control and pipeline management.
• Knowledge of data visualisation tools like Power BI is a bonus.

Soft Skills:

• Strong analytical and problem-solving skills with the ability to handle complex data and develop actionable insights.
• Excellent communication skills for presenting technical findings to non-technical audiences.
• Collaboration skills for working with cross-functional teams to deliver impactful projects.

Education:

• Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, or a related field, or equivalent professional experience.