At a Glance
- Tasks: Explore complex datasets and create insights that drive impactful decisions.
- Company: Join the SAFE Insights team within a dynamic tech environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on evidence-driven decision-making.
- Why this job: Shape product thinking and influence decisions with your data expertise.
- Qualifications: Experience in data science, programming languages like Python or R, and SQL skills.
The predicted salary is between 50000 - 70000 € per year.
Requirements
- You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action.
- You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact.
- You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies.
- You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies.
- You care about building reliable metrics and helping teams make informed decisions using trustworthy data.
- You have experience collaborating with engineers, product managers, and cross-functional partners.
- You are curious, adaptable, and excited to grow your craft over time.
What the job involves
- The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making.
- As a Data Scientist on the team, you’ll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions.
- Partner with Insights Leads and senior data scientists to design and build performance metric frameworks.
- Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions.
- Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact.
- Scope, prioritize, and execute projects including A/B tests and other experimentation approaches.
- Apply statistical and causal inference methods to evaluate product changes for internal and external users.
- Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance.
- Grow into a strategic analytical partner by taking on increasingly complex data challenges.
Data Scientist (Platform Mission) in London employer: Deepstreamtech
As a Data Scientist at SAFE Insights, you will thrive in a dynamic and collaborative work culture that values curiosity and adaptability. Our commitment to employee growth is evident through opportunities to partner with experienced professionals and tackle complex data challenges, all while contributing to impactful decision-making across our innovative studios. Located in a vibrant environment, we offer a unique chance to shape product thinking and drive evidence-based strategies, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Platform Mission) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at SAFE or similar companies on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like the Data Scientist position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analyses. Use tools like Tableau or Looker to present your work, and make sure to highlight how your insights have driven decisions in past projects.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical techniques and programming languages. Be ready to discuss how you've applied causal inference methods or A/B testing in real-world scenarios. Practice explaining complex data concepts in simple terms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Scientist (Platform Mission) in London
Some tips for your application 🫡
Show Your Data Passion:When writing your application, let us see your enthusiasm for data! Share specific examples of how you've framed questions and explored complex datasets. We want to know how you’ve used your skills to drive clarity and action in past projects.
Highlight Your Technical Skills:Make sure to mention your experience with programming languages like Python or R, and your comfort with SQL. If you've worked with data visualisation tools like Tableau or Looker, shout about it! We love seeing candidates who can communicate insights effectively.
Collaborative Spirit is Key:We value teamwork, so don’t forget to highlight your experience collaborating with engineers, product managers, and other cross-functional partners. Share stories that showcase your ability to work well in a team and contribute to evidence-driven decisions.
Tailor Your Application:Take the time to tailor your application to our job description. Use the same language we do and align your experiences with what we’re looking for. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of statistical techniques and data science programming languages like Python or R. Be ready to discuss how you've used these skills in past projects, especially when it comes to experimentation and causal inference.
✨Show Off Your Visualisation Skills
Since the role involves communicating insights through dashboards and visualisations, be prepared to showcase your experience with tools like Tableau or Looker. Bring examples of your work that demonstrate how you've turned complex data into clear narratives.
✨Collaboration is Key
This job requires working closely with engineers and product managers, so highlight your teamwork experiences. Share specific examples of how you've collaborated across disciplines to drive decision-making and deliver impactful insights.
✨Be Curious and Adaptable
The SAFE Insights team values curiosity and a willingness to grow. During the interview, express your enthusiasm for tackling complex data challenges and your eagerness to learn new techniques. This mindset will resonate well with the interviewers.
