Product Data Scientist (Data Labs) in London

Product Data Scientist (Data Labs) in London

London Full-Time 47250 - 57750 £ / year (est.) Home office (partial)
Similar Web

At a Glance

  • Tasks: Transform raw data into strategic insights for top global clients.
  • Company: Join Similarweb, a leader in digital intelligence with a vibrant culture.
  • Benefits: Competitive pay, wellness perks, team outings, and career growth opportunities.
  • Other info: Diverse and inclusive workplace that values your unique perspective.
  • Why this job: Make a real impact while working with cutting-edge data solutions.
  • Qualifications: 2+ years of SQL/pySpark experience and strong analytical skills required.

The predicted salary is between 47250 - 57750 £ per year.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game-changing decisions that drive their digital strategies.

We’re looking for a sharp and driven Data Analyst to join our fast-paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like:

  • Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
  • Apply your expertise in quantitative analysis and data mining to turn data into insights.
  • Conduct research and develop tools which will help answer clients’ business questions by using Similarweb’s raw data sets and algorithms.
  • Partner with Engineering teams to establish an infrastructure to scale solutions.
  • Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

This is the perfect job for someone who has:

  • At least 2 years experience with SQL/pySpark for data analysis - Must
  • Experience in Python scripting - Must
  • Excellent verbal and communication skills in English - Must
  • AWS Infrastructure experience - Big Advantage
  • Working with clients - Big Advantage.
  • Proficiency in Online Marketing/Online Services - Advantage
  • At least 2 years work experience in Online/Tech Company - Advantage
  • Team player, autodidact, fast learner with excellent analytical, research and business skills.
  • Demonstrates initiative and a proactive mindset - Must
  • Experienced in independently managing complex projects from start to finish.
  • Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
  • Master's degree - Big Advantage.

Why you’ll love being a Similarwebber:

  • You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.”
  • You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table.
  • We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees.
  • You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department?
  • Diversity isn’t just a buzzword: We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work.

Product Data Scientist (Data Labs) in London employer: Similar Web

At Similarweb, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives. Our commitment to employee growth is evident through tailored career development opportunities and a culture that values diverse perspectives, ensuring everyone can contribute their unique ideas. With competitive benefits and a strong emphasis on community, working at our vibrant location means being part of a team that not only drives digital transformation for our clients but also fosters personal and professional fulfilment.

Similar Web

Contact Details:

Similar Web Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Data Scientist (Data Labs) in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Similar Web!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Product Data Scientist (Data Labs) at Similar Web.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Similar Web.

Apply Directly through Our Website

When you find a suitable opening like Product Data Scientist (Data Labs) at Similar Web, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Product Data Scientist (Data Labs) in London

SQL
pySpark
Python scripting
Analytical Skills
Data Analysis
Communication Skills
AWS Infrastructure

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Similar Web, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Similar Web. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Similar Web

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Similar Web!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.