Data Scientist- 6 Month Internship (FTC)

Data Scientist – Internship

Job Title: Data Scientist – Internship

Company: Twinkl

Location: Remote/ Hybrid/On-Site
Annual Salary: £22,500-£25,000
Contract: 6 month internship, with permanent position opportunity
Visa Sponsorship: Not available. Applicants must have the right to work in the UK for the internship’s duration.

About Twinkl:

Twinkl is a renowned global digital educational publisher committed to providing high-quality teaching materials and support to educators. With a mission to help those who teach, our extensive range of teacher-created content includes schemes of work, lesson planning, assessments, online educational games, apps, and augmented reality experiences. In collaboration with Vitruvian Partners, our recent partnership enables us to further explore innovative avenues and expand our support to the global teaching community.

About the Role:

As a Data Science Intern at Twinkl, you’ll join a team of over 20 data scientists, analysts, and statisticians integral to Twinkl’s operations. We have a long-term vision to create a world-class data provision that extracts valuable insights from our extensive datasets and translates these into impact. 

We operate within a Data Guild framework, empowering individuals to immerse themselves in solving real-world problems at the heart of our operations by being placed directly into a team/product. To thrive here, you’ll need to utilise a diverse skill set including data collation, descriptive analysis, problem diagnosis and predictive modelling, bolstered by expertise in visualisation, statistics, machine learning and critical thinking.

Our work spans a broad spectrum of Data Analysis and Science, encompassing tasks such as Data Collection, Descriptive Data, Investigating Data, Diagnosing Problems, and Predicting and Prescribing actions. To achieve this, Data Scientists utilise their skills in visualisation, statistics, machine learning, and critical thinking.

Despite this support focus, here at Twinkl, we like to empower the Data Scientists to get directly involved with suggesting and pushing their own ideas. We have become a successful team by creating an environment where the individual Data Scientist can spot opportunities and directly impact the business. This, along with our fast-paced mindset , and 80/20 rule, has meant the data team is continuously part of the big impact changes at Twinkl.

Our culture fosters innovation, encouraging interns to contribute ideas and drive impactful changes within the organisation. With our face-paced environment and adherence to the 80/20 rule, interns have the opportunity to make a meaningful impact at Twinkl.

To ensure you get off to a strong start, you’ll participate in an induction programme led by one of our senior data scientists gaining hands-on experience with essential technologies like SQL, Python, Tableau, and BigQuery, and embrace data-led ways of working. Most importantly, you’ll be able to put these skills to the test on real business problems by undertaking projects, responding to business requests, and creating visualisations to communicate insights effectively. After this, you’ll be placed in one of our cross-functional teams to work alongside them to support their goals. We’ll also link you up with a mentor, an existing member of the data team, who’ll be on hand to help you settle into your new role.

This is an exciting opportunity to put theoretical knowledge into a real-world setting. If you excel during the internship, you’ll have the opportunity to transition into a permanent role as a Graduate Data Scientist,  contributing to our ongoing success and shaping the future of education..

Here are some of our past and ongoing projects:

• Maximising payment authentication rates to prevent fraudulent transactions while ensuring uninterrupted customer access
• Enhancing search engine logic with machine learning techniques for an optimised search experience
• Statistical modelling and forecasting of key business functions to meet user needs effectively
• Developing data pipelines for near real-time analytics of customer needs to proactively identify and address gaps in our product offering
• Enhancing our data reporting visualisation offering for the wider team including our reporting on marketing campaigns
• Calculating Return on Investment (ROI) for our merchandise incentives
• Optimising renewal and upgrade strategies for our sales team

Visit our Data Science Blog or our Medium page to find out more 

Data Scientist Responsibilities and Expectations

• You are expected to:
• Be passionate about Twinkl’s mission and values
• Work closely with senior leaders, other experienced data scientists, and a range of others across all levels of the organisation
• Prioritise your workload effectively and work with deadlines
• Have strong communication skills in verbal, written and presenting
• Utilise your ability to learn new technologies and skills so you can adapt to the specific data demands that arise
• Be a team player in both the data team and the wider organisation
• You are responsible for:
• Supporting and potentially taking the lead on a variety of projects to enable data-driven decisions
• Working with an array of stakeholders from fellow team members to Chiefs of the business
• Adding impact through data science in a variety of ways:
• Exploring new avenues
• Improving efficiency through automation and processes
• Expanding the use of data within the business
• Utilising data science to enhance the ability of products to add value
• Elevating the data skills of non data team members
• Directly impacting the business through your data-driven decisions

Requirements

Role Requirements

Experience and Qualifications:

• Hold a degree in a STEM field OR demonstrate a strong interest in data science

Professional Skills:

• Stakeholder management: Ability to engage with various stakeholders, including non-technical team members
• Problem solving: Systematically approach problems, utilise analytical skills and available resources to find solutions
• Organisation & Prioritisation: Manage workload efficiency, meeting deadlines and adapting to changing priorities
• Teamwork: Collaborate effectively within a team of data scientists, and across the business, sharing knowledge and insights
• Value Add: Identify viable business opportunities that can be leveraged using data
• Decision Making: Make data-driven decisions with confidence, taking ownership of outcomes
• Critical Thinking: Approach situations with a critical mindset, exploring the full potential of projects
• Self-Learning ability: Demonstrate a willingness to acquire new skills and continuously develop professionally

Technical Skills:

• Strong foundational knowledge of programming languages such as SQL or Python
• Familiarity with data analysis and visualisation tools such as Tableau, pandas, or matplotlib

Benefits

In return for everything you can bring, we can offer you an exciting role in a fast-growing and dynamic business, with plenty of career opportunities.

Data Skill Development:

• Explore New Techniques: Engage in an environment that encourages experimentation with different data science techniques and concepts
• Accessible Training: Gain access to in-house training sessions covering a range of key technical and soft skills
• Data Team Collaboration: Participate in Data Team Friday,  a weekly gathering designed to encourage learning and collaboration

Here are a couple of the things that make Twinkl a great place to be:

• A friendly, welcoming and supportive culture. We believe work should be fun and always put people before the process
• Diversity, inclusion and belonging – our Employee Network Program includes working groups for LGBTQ+, People of Colour, Disabilities (visible and invisible), Women in Tech and Working Parents.
• From day 1 – Westfield Health, 29 annual leave days per year plus up to four additional days that may be awarded each year by the company, flexible working policy with opportunities to work fom home, Twinkl subscription, access to a financial wellbeing coach and platform
• After probation – company sick pay and cycle to work scheme
• Long-term service reward after 2+ years of service – Life insurance, enhanced pension contribution, enhanced maternity pay, enhanced adoption pay and enhanced paternity pay.