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Data Scientist Intern (TikTok Shop EMEA DS) - 2026 Summer (BS/MS)

TikTok

Data Scientist Intern (TikTok Shop EMEA DS) - 2026 Summer (BS/MS)

TikTok

London, United Kingdom

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Health, dental, and vision coverage

Flexible PTO policy

Remote work flexibility

Required Skills

PyTorch

Airflow

TensorFlow

About the Team

The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of Tik Tok Shop. Through impactful data insights and data products, the team focuses on areas such as metrics development, product, operation, algorithm improvement, data infrastructure, and data product development. The team enables informed decision-making and helps optimize the performance and effectiveness of Tik Tok Shop.

We are looking for talented individuals to join us for an internship in 2026. Internships at Tik Tok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at Tik Tok.

Internships at Tik Tok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Tik Tok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates

  • June 8th, 2026
  • June 22nd, 2026
  • July 6th, 2026

Responsibilities

  1. Support the construction and continuous optimization of data infrastructure and analytical frameworks within the merchandise domain
  2. Responsible for daily statistical analysis of merchandise-related business data, coordinating resources for tracking and in-depth analysis of abnormal situations
  3. Assist analysts in Data Insight and Qualitative and Quantitative Analysis to quickly locate internal problems or find opportunities

Qualifications

Minimum Qualifications

  1. Actively enrolled university student
  2. Bachelor degree or above, computer, statistics, mathematics and other related majors are preferred
  3. Skilled in SQL (with solid ability to write and optimize complex queries), EXCEL, Python, familiar with common data statistics and analysis methods

Preferred Qualifications

  1. Good communication skills, teamwork spirit and initiative
  2. Good logical thinking ability, business interpretation ability and fast learning ability
  3. Sensitive to numbers, with a strong sense of responsibility, attention to detail, and love Data Analysis work

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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1 reports

$273,000

total / year

Base

$210,000

Stock

-

Bonus

-

$273,000

$273,000

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures