Data Scientist | Graduate Role | 0-2 Years Exp.
Data Scientist | Tech Start Up
Location: London (Hybrid)
Salary: £40,000 - £45,000 + Benefits
A fast-growing technology business is looking for a Data Scientist to join its expanding data team. This is an excellent opportunity for someone early in their career who is passionate about using data to solve real-world problems and wants to make a tangible impact within a collaborative, high-growth environment.
You'll work closely with cross-functional teams to develop data-driven solutions, build predictive models, and support key business decisions. The role offers exposure to a variety of projects across analytics, machine learning, risk modelling, customer insights, and operational optimisation.
Key Responsibilities:
- Develop and deploy predictive models and machine learning solutions.
- Analyse large datasets to identify trends, opportunities, and actionable insights.
- Collaborate with product, engineering, and commercial stakeholders to deliver data-driven outcomes.
- Support the development and maintenance of data pipelines and analytical infrastructure.
- Design and evaluate experiments and model performance using appropriate statistical techniques.
- Present findings and recommendations to both technical and non-technical audiences.
Requirements:
- Experience working with data through industry experience, academic projects, or personal projects.
- Strong programming skills in Python and familiarity with data science libraries.
- Understanding of statistics, machine learning, and data analysis techniques.
- Experience with SQL and data manipulation.
- Strong problem-solving skills and a proactive approach to learning.
- Excellent communication skills and the ability to explain technical concepts clearly.
Desirable Skills:
- Experience with cloud data platforms and modern data tooling.
- Knowledge of model deployment and MLOps practices.
- Familiarity with A/B testing, experimentation, and model validation techniques.
What's on Offer:
- Competitive salary and benefits package.
- Opportunity to work on impactful projects from day one.
- Structured development and progression opportunities.
- Collaborative and supportive team environment.
- Flexible hybrid working arrangement.
- Access to training and professional development resources.
If you're looking to accelerate your career in data science within a dynamic and innovative business, we'd love to hear from you.