National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Strider Technologies
London
1 week ago
Create job alert

Join to apply for theData Scientistrole atStrider Technologies

Join to apply for theData Scientistrole atStrider Technologies

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.

Job Description

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.
  • And finally, 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.

Benefits

  • 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.Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

Referrals increase your chances of interviewing at Strider Technologies by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 days ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 6 days ago

London, England, United Kingdom 4 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

Data Scientist, Marketing Insights and Analytics

London, England, United Kingdom 6 days ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

London Area, United Kingdom £65,000.00-£75,000.00 6 hours ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 4 days ago

Greater London, England, United Kingdom 11 hours ago

Data Scientist – Experimentation & Measurement

London, England, United Kingdom 9 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 21 hours ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 day ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Science Placement Programme

Data Science Placement Programme

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.