At a Glance
- Tasks: Lead the development of cutting-edge algorithms for a new internal advertising platform.
- Company: Join a leading UK eCommerce business with a focus on innovation.
- Benefits: Enjoy a competitive salary, bonus, sharesave scheme, and private medical insurance.
- Why this job: Make a real impact in a high-scale environment while shaping the future of advertising.
- Qualifications: Strong data science background with experience in machine learning and Python.
- Other info: Flexible working with 25 days holiday and excellent career growth opportunities.
The predicted salary is between 60000 - 84000 Β£ per year.
A large UK consumer eCommerce business is scaling a new internal advertising and monetisation platform and is hiring a Lead Data Scientist to take technical ownership of its core algorithms. This is a technical leadership role with end-to-end ownership of the algorithm roadmap. You will set direction, make architectural decisions, and lead delivery from experimentation through to production in a high-scale environment.
Responsibilities:
- Own the technical and algorithm roadmap for a large-scale internal ads platform.
- Design, test and deploy advanced predictive and ranking models such as Two-Tower architectures, RNNs and learning-to-rank approaches.
- Lead architecture, model selection and production design decisions.
- Improve feedback loops to increase responsiveness to real-world events and outcomes.
- Set best practices for production ML, testing, monitoring and deployment.
- Act as the technical authority for data science across the ads domain.
- Work closely with engineering, product and commercial teams.
- Present outcomes and recommendations to senior stakeholders in clear business terms.
What you bring:
- Strong background in data science applied to personalisation, recommendations or ranking problems.
- Proven experience owning and delivering production machine learning systems.
- Advanced hands-on experience with PyTorch or TensorFlow.
- Strong Python and SQL skills with experience in distributed processing such as PySpark.
- Comfortable making technical trade-offs in complex, ambiguous environments.
- Able to translate complex technical work into commercial impact.
Nice to have:
- Experience in AdTech or monetisation systems.
- Familiarity with MLflow, Databricks and modern DevOps tooling.
- Experience working in large-scale consumer or eCommerce environments.
Working style and benefits:
- Weekly on-site presence with flexible working.
- Competitive base salary with annual performance bonus.
- Sharesave scheme.
- Private medical insurance.
- Pension contribution.
- 25 days holiday plus.
Lead Data Scientist in Birmingham employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead Data Scientist in Birmingham
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and machine learning. This will give you an edge when discussing your experience during interviews.
β¨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and coding skills. Practice common data science problems and be ready to explain your thought process clearly. We want to see how you tackle challenges!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist in Birmingham
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with predictive models and any relevant projects you've led. We want to see how your skills align with our needs!
Showcase Your Technical Skills: Donβt hold back on showcasing your technical prowess! Mention your hands-on experience with PyTorch, TensorFlow, and any distributed processing tools like PySpark. We love seeing those skills in action!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data science and how you can contribute to our internal ads platform. Letβs see your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any updates. We canβt wait to hear from you!
How to prepare for a job interview at iO Associates
β¨Know Your Algorithms
Make sure you brush up on the algorithms mentioned in the job description, like Two-Tower architectures and RNNs. Be ready to discuss how you've applied these in past projects and the impact they had.
β¨Showcase Your Leadership Skills
Since this is a technical leadership role, prepare examples of how you've led teams or projects. Highlight your decision-making process and how youβve influenced outcomes in complex environments.
β¨Speak Business, Not Just Tech
Practice translating your technical expertise into business terms. Be prepared to explain how your work has driven commercial success or improved user experience in previous roles.
β¨Prepare for Technical Trade-offs
Expect questions about making technical trade-offs. Think of scenarios where you had to balance performance, scalability, and resource constraints, and be ready to discuss your thought process.