At a Glance
- Tasks: Research and develop data solutions, scale applications, and tackle complex data challenges.
- Company: Strider Technologies delivers strategic intelligence using AI to empower organisations globally.
- Benefits: Enjoy flexible PTO, wellness support, equity options, and a remote-friendly work environment.
- Why this job: Join a culture of innovation, collaboration, and continuous learning in a growing startup.
- Qualifications: 3+ years in data science, expertise in Python, SQL, R, and a quantitative degree required.
- Other info: Wednesdays are distraction-free; focus on results, not meetings.
The predicted salary is between 43200 - 72000 £ per year.
Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities.
As a Data Scientist on Strider’s Engineering team, your job is to research and develop new data solutions, scale existing data applications, and bend Strider’s data strategies to accomplish many goals within a growing startup. We’re looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch.
What you will do:
- Dig into messy, unstructured data every day to answer critical business questions, urgently resolve client inquiries, or get lost on problems we didn’t even know existed.
- Transform analytics to insights, applying critical business thinking and creative data solutions toward vaguely defined problems.
- Develop needed technical and analytical skills to introduce new data and or product capabilities to accelerate Strider’s larger mission; leveraging Python, SQL, R, and or other data languages.
- Collaborate with subject matter experts to deliver value to Strider’s growing list of clients.
- Establish and uphold a data-driven culture for a small but growing team within Strider’s Engineering function.
What you will need to be successful:
- 3+ years of experience in data science and or analytics.
- An MS or BS in a quantitative field (e.g. Economics, Statistics, Engineering).
- Functional knowledge of Python, SQL, R or other comparable languages.
- Experience with Elasticsearch is preferred but not required.
- Ability to work alongside a team of engineers and subject matter experts to determine effective and time-efficient solutions.
- Ability to independently manage deliverables and ruthlessly prioritize your work.
- A rigorous approach towards data quality and cultivating trust with clients, internally and externally.
Why join this team:
- We are geo-distributed and deeply respect-focused work. Wednesdays are distraction-free days and Fridays tend to be the same.
- Getting work done matters, not meetings and status updates.
- Most of the data and tools we need to succeed likely don’t exist yet. You are empowered to dream big, think outside the box, and generally explore new territory.
- You’ll get daily interactions with all functions and levels of Strider, providing endless opportunities to advance your career.
- We revel in learning new things, be it technical languages, spoken languages, or other topics. There is infinite space at Strider to pursue your interests to further yourself, the team, or Strider as a whole.
Equity Options: Be a stakeholder in our growing success and share in our journey.
Work-Life Balance: Flexible PTO, UK holidays, and remote-friendly policies to support your personal and professional life.
Wellness Support: Reimbursement for health and fitness expenses to promote your well-being.
Comprehensive Benefits: Including pension contributions and additional perks.
Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.
Data Scientist London, UK employer: Stride Consulting
Contact Detail:
Stride Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist London, UK
✨Tip Number 1
Familiarise yourself with Strider Technologies' mission and values. Understanding their focus on strategic intelligence and AI technology will help you align your answers during interviews, showcasing how your skills can contribute to their goals.
✨Tip Number 2
Brush up on your technical skills, especially in Python, SQL, and R. Be prepared to discuss specific projects where you've applied these languages to solve complex data problems, as this will demonstrate your hands-on experience.
✨Tip Number 3
Network with current or former employees of Strider Technologies on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your approach to data quality and client trust. Since Strider values a rigorous approach, having examples ready that illustrate how you've maintained data integrity and built relationships with clients will set you apart.
We think you need these skills to ace Data Scientist London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics. Emphasise your expertise in Python, SQL, and R, as well as any experience with Elasticsearch. Use specific examples to demonstrate your ability to build data solutions from scratch.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Strider Technologies and their mission. Discuss how your skills align with the job requirements and provide examples of how you've tackled messy data or solved complex problems in previous roles.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or links to your work. Highlight any innovative data solutions you've developed and how they contributed to decision-making processes in past roles.
Prepare for Technical Questions: Be ready to discuss your technical skills and problem-solving approach during the application process. Brush up on statistical modelling concepts and be prepared to explain how you've applied them in real-world scenarios.
How to prepare for a job interview at Stride Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, R, and any other relevant data languages. Bring examples of projects where you've applied these skills, especially in statistical modelling or data transformation.
✨Demonstrate Problem-Solving Abilities
Expect to tackle some real-world data problems during the interview. Practice explaining your thought process clearly and how you approach messy, unstructured data to derive insights.
✨Highlight Collaboration Experience
Strider values teamwork, so be ready to share examples of how you've worked with engineers and subject matter experts in the past. Discuss how you’ve contributed to a data-driven culture in previous roles.
✨Express Curiosity and Passion for Learning
Strider is looking for someone who is deeply curious. Share instances where you've pursued new knowledge or skills, particularly in data science or analytics, and how that has benefited your work.