Data Scientist

Location: Hybrid (minimum 1 day per month in Manchester and Liverpool, travel covered depending on home office location)
Salary: £40,000 - £47,000 per annum
Benefits:

• Comprehensive Learning & Development opportunities (funding for work-related training e.g. ML development)
• £1,000 matched personal & professional development fund after 12 months
• Collaborative team culture with a focus on quality over quantity

About the Role: We are looking for a proactive and curious Data Scientist to join our client's growing team. In this role, you’ll work on diverse and impactful projects, collaborating closely with senior leaders to solve real-world problems. If you enjoy uncovering insights, creating innovative solutions, and working in a supportive, collaborative environment, this could be the role for you. 

Key Responsibilities:

• Collaborate with business teams to identify challenges and opportunities where data-driven solutions can add value.
• Design and implement statistical analyses and models to solve complex problems, such as workforce performance, geographic targeting, and economic impact mapping.
• Present findings to senior leadership and stakeholders through clear visualizations, reports, and presentations.
• Explore and experiment with new methodologies to enhance project outcomes.
• Continuously learn and develop, utilizing allocated L&D time to grow your expertise.

Essential Skills & Attributes:

• Strong soft skills with a focus on curiosity, proactive problem-solving, and stakeholder engagement.
• A drive to ask “why” and approach challenges with diverse perspectives.
• Strong communication abilities, including data visualization, report writing, and presenting technical concepts to non-technical audiences.
• Ability to self-direct, identify priorities, and deliver impactful results.

Technical Skills (Intermediate Level):

• Programming: Python (including libraries such as Numpy and Pandas)
• Statistics & Analysis:
  • Central Limit Theorem, probability distributions, and measures of central tendency/dispersion
  • Correlation analysis, hypothesis testing (ANOVA, t-tests), and A/B testing
  • Time series analysis and forecasting

Beneficial Skills:

• Experience or interest in machine learning (ML) and related projects
• A desire to explore innovative solutions for business challenges

What We Offer:

• Opportunity to work closely with senior decision-makers and see the direct impact of your work.
• A highly collaborative team environment with a culture of learning, feedback, and mutual support.
• Exposure to diverse projects with the freedom to generate and develop your own ideas.
• A relaxed, inclusive atmosphere with a focus on quality and impact.

Next Steps:
If you’re passionate about data and eager to solve meaningful problems, apply now with your CV and a brief cover letter outlining your experience and interest in the role.