At a Glance
- Tasks: Lead innovative AI projects to transform B2B advertising and mentor junior team members.
- Company: Join Adzact, a fast-growing scale-up revolutionizing ethical B2B advertising with cutting-edge AI.
- Benefits: Enjoy flexible working hours, a £1,000 development budget, and 28 days of holiday.
- Why this job: Shape the future of advertising while working with top-tier clients and visionary investors.
- Qualifications: Advanced degree in a quantitative field and 5+ years of Data Science experience required.
- Other info: Open to full-time or part-time roles; we value diverse backgrounds and inclusive culture.
The predicted salary is between 43200 - 72000 £ per year.
Adzact is a rapidly growing scale-up, headquartered in Central London, backed by the best AdTech Entrepreneurs in the country including the founders of AdMob and LoopMe and Venture Capital, with the world’s best B2B Marketers as clients including Just Eat, Darktrace, Vitality, Trustpilot, Paddle.com, Ecologi etc.
At Adzact, we are on a mission to revolutionise B2B advertising by building the most advanced AI-powered ad platform the world has ever seen—without exploiting personal data. As a Senior Data Scientist, you’ll be at the forefront of this transformation. You’ll help expand our pioneering platform into the USA and beyond, using cutting-edge technologies like LLMs, large-scale web crawling, and advanced AI methods to train state-of-the-art models. This is your chance to shape the future of advertising with a company leading the way in ethical, innovative AI.
We’re at an inflection point in our growth: profitable, scaling fast, and backed by visionary investors. Joining now means having an outsized impact on how we create the richest dataset on businesses ever assembled, redefining how B2B marketing works globally.
We’re open to full-time or part-time roles, offering flexibility for exceptional candidates who share our ambition.
What you’ll do
- Use our proprietary web-scale data-gathering, processing and modelling platform to design and deliver advanced ML ad-targeting solutions for our clients and build re-training tech to manage performance in real-time.
- Explore and create features from diverse datasets, including video, image, text, geospatial, financial, and conceptual data, to drive innovation in our products.
- Deploy groundbreaking methods, such as LLMs and deep neural networks, to push the boundaries of B2B ad targeting.
- Lead high-impact projects that expand our reach into global markets and uncover creative ways to use data at scale.
- Contribute to strategic planning within the Data Science team, driving the development roadmap.
- Mentor and coach junior team members, helping to build a culture of excellence and collaboration.
Minimum Requirements
- An advanced degree in a quantitative discipline (e.g., Data Science, Computer Science, Statistics, Mathematics, Economics, or similar).
- 5+ years of hands-on experience delivering Data Science solutions in a commercial setting.
- Expertise in Python’s Data Science toolkit (e.g., pandas, scikit-learn, Jupyter) and familiarity with best practices in software development.
- Experience with cloud platforms (e.g., AWS) and managing end-to-end technical projects, ideally with small teams (2–3 members).
- Strong mentoring skills and the ability to guide junior colleagues.
- Excellent communicator, able to explain complex ideas to technical and non-technical audiences.
- Bonus skills: Proficiency in LLM, geospatial data science, data matching, or deep learning methods.
What We Offer
- Cutting-Edge Work: You’ll play a leading role in using the latest AI methods to solve real-world challenges and redefine an industry.
- Flexibility: We offer part-time or full-time opportunities, flexible working hours, and hybrid working options.
- Growth: A £1,000 annual professional development budget and 12 days of dedicated training time per year.
- Support: Enhanced parental leave, private health and dental coverage, and a 6% company pension contribution.
- Holidays: 28 days (plus bank holidays), increasing with tenure, and the ability to roll over unused days.
- Culture: Be part of a friendly, open team where your voice is heard, and we support each other to thrive.
We are committed to creating an inclusive workplace and welcome applicants from diverse backgrounds, ensuring everyone is treated with fairness and respect.
Join us and be part of a team that’s changing the future of advertising!
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Senior Data Scientist employer: Griffin Fire
Contact Detail:
Griffin Fire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning, especially in the context of B2B advertising. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Showcase your experience with cloud platforms like AWS. Be prepared to discuss specific projects where you managed end-to-end technical processes, as this will highlight your practical skills and ability to lead small teams effectively.
✨Tip Number 3
Emphasize your mentoring abilities. Since the role involves coaching junior team members, sharing examples of how you've successfully guided others in previous positions can set you apart from other candidates.
✨Tip Number 4
Prepare to explain complex data science concepts in simple terms. The ability to communicate effectively with both technical and non-technical audiences is crucial, so practice articulating your ideas clearly and concisely.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Understand the Company: Dive deep into Adzact's mission and values. Familiarize yourself with their innovative approach to B2B advertising and how they leverage AI without compromising personal data.
Highlight Relevant Experience: In your application, emphasize your 5+ years of hands-on experience in Data Science. Showcase specific projects where you've used Python's Data Science toolkit and cloud platforms like AWS.
Showcase Your Skills: Make sure to detail your expertise in advanced AI methods, particularly LLMs and deep learning. If you have experience with geospatial data science or data matching, highlight that as well.
Communicate Effectively: Since excellent communication is key for this role, ensure your application clearly conveys complex ideas in a straightforward manner. Tailor your language to be accessible to both technical and non-technical audiences.
How to prepare for a job interview at Griffin Fire
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python's Data Science toolkit and any relevant projects you've worked on. Highlight specific examples where you've successfully implemented machine learning solutions in a commercial setting.
✨Demonstrate Your Problem-Solving Skills
Expect to tackle real-world problems during the interview. Practice explaining your thought process and how you approach complex data challenges, especially those related to B2B advertising.
✨Communicate Clearly
As an excellent communicator, you should be able to explain complex ideas to both technical and non-technical audiences. Prepare to demonstrate this skill by discussing your past experiences in mentoring or collaborating with diverse teams.
✨Align with Their Mission
Research Adzact's mission to revolutionize B2B advertising ethically. Be ready to discuss how your values align with theirs and how you can contribute to their goal of building an advanced AI-powered ad platform without exploiting personal data.