Data Scientist Hayes, England
Job description
Company Overview:
Student Help Squad (SHS) is a pioneering platform exclusively committed to enhancing the educational journey of international students in the United Kingdom. Our mission is to provide comprehensive, tailored support to address the unique challenges and aspirations of these students. SHS thrives on innovation, data-driven insights, and collaborative partnerships to empower students to excel academically, professionally, and personally.
Role Overview:
Are you a skilled and motivated Data Scientist looking for a role that combines your analytical expertise with a passion for making a difference in the lives of international students? At Student Help Squad , we're seeking a talented Data Scientist to join our dynamic team. In this role, you'll have the opportunity to utilise your advanced data analysis skills to extract insights, drive decision-making, and enhance the experiences of international students. Collaborating closely with cross-functional teams, you'll work on projects that involve analysing student trends, optimising service offerings, and improving the overall student journey. Your contributions will directly impact how we empower students to excel in their academic and professional pursuits. If you're excited about leveraging data to create positive outcomes and want to be a key player in shaping the future of international student support, we encourage you to apply now and be part of our mission-driven team at SHS!
Responsibilities:
- Collaborate closely with cross-functional teams to identify business challenges and opportunities for leveraging data-driven insights.
- Apply advanced analytics, machine learning, and statistical techniques to analyse complex datasets, extracting actionable insights.
- Design and implement data pipelines to collect, process, and cleanse data from various sources, ensuring data quality and reliability.
- Develop predictive models and algorithms to provide valuable insights and support decision-making processes.
- Create visualisations, reports, and dashboards to communicate findings effectively to technical and non-technical stakeholders.
- Collaborate with software developers to integrate data-driven functionalities into our products and services.
- Stay updated with the latest trends and advancements in data science and contribute innovative ideas to the team.
- Contribute to A/B testing and experimentation to optimise product offerings and user experiences.
- Participate in team discussions, knowledge sharing, and collaborative problem-solving.
Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Demonstrated experience as a Data Scientist, with a strong portfolio showcasing impactful projects.
- Proficiency in programming languages such as Python or R for data analysis and modelling.
- Sound understanding of machine learning algorithms, statistical analysis, and data manipulation techniques.
- Familiarity with data visualisation tools (e.g., Tableau, Power BI) to communicate insights effectively.
- Knowledge of data processing frameworks (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL).
- Strong analytical thinking and problem-solving skills, with the ability to collaborate and innovate.
- Excellent communication skills to convey complex technical concepts to diverse audiences.
- A proactive and adaptable mindset, open to learning and embracing new technologies.
Opportunities:
- Full sponsorship of work visas for selected for the role.
- Opportunity to work in a diverse and collaborative environment, contributing to cutting-edge projects.
- Hands-on experience with state-of-the-art technologies and innovative solutions.
- Competitive compensation package with growth opportunities within a forward-thinking organisation.
- Contribution to meaningful projects that impact businesses and communities.
To apply please send your CV and Cover Letter to [email protected]
Job Type: Full-time
Salary: £27,000.00 per year
Benefits:
- Company events
- Discounted or free food
- Flexitime
- Health & wellbeing programme
- On-site parking
- Referral programme
- UK visa sponsorship
- Work from home
Schedule:
- Day shift
- Flexitime
- Monday to Friday
Supplemental pay types:
- Bonus scheme
- Commission pay
- Loyalty bonus
- Performance bonus
- Quarterly bonus
- Signing bonus
- Tips
- Yearly bonus
Education:
- Master's (preferred)
Ability to Commute:
- Hayes (preferred)
Ability to Relocate:
- Hayes: Relocate before starting work (preferred)
Work Location: Hybrid remote in Hayes
Application deadline: 01/09/2023
Reference ID: SHS\DS\9778
Expected start date: 01/09/2023
