Data Scientist Placement
Role details
Job location
Tech stack
Job description
As a Data Science Intern, you ll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges.
Here at ITL, we offer
- Hands-on experience with real-world projects
- Mentorship and training from experienced professionals
- Opportunities to network and grow within the field of data science
- A supportive and collaborative work environment
- Potential for a full-time offer upon successful completion of the internship, * Collaborate with the data science team to design, implement, and optimize Machine Learning models
- Analyze large datasets to uncover trends, patterns, and insights that drive business decisions
- Develop and test algorithms for machine learning, statistical analysis, or data visualization
- Assist in cleaning, transforming, and preparing data for analysis
- Create dashboards and reports to communicate findings effectively to stakeholders
- Stay up-to-date with the latest developments in data science and AI technologies
Requirements
This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field., An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject., * A solid understanding of machine learning techniques and algorithms.
- Experience of programming in Python, or similar associated tools.
- An excellent communicator who s analytically minded with a practical approach to solving problems., A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services.
Benefits & conditions
- A competitive salary
- Flexible working hours
- 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year
- Educational Sponsorship
- Enhanced Pension Contribution
- Healthcare Insurance (including dental)
- Wellbeing support
- Life Insurance
- Income Protection Insurance
- Free secure parking
- Onsite electric car charging points
- Cycle to Work Scheme
- Informal dress code
- Paid breaks, with free premium hot drinks