At a Glance
- Tasks: Develop and deploy ML models to detect fraudulent ad traffic and enhance ad spend protection.
- Company: Exciting scale-up SaaS company focused on innovative ad solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
- Why this job: Join a dynamic team and make a real impact in the adtech industry.
- Qualifications: Experience in ML, Python, SQL, and AWS; familiarity with NLP is a plus.
The predicted salary is between 60000 - 80000 € per year.
We are working on an exciting role with a scale up SaaS company who are focused on helping clients eliminate wasteful and fraudulent ad traffic.
The Role
We are looking for an experienced Data Scientist with strong ML & NLP expertise to build and improve models that detect invalid traffic (IVT) and protect ad spend. You’ll work with large-scale data, design production-ready ML systems, and collaborate closely with engineering to keep models performant and reliable.
Responsibilities
- Develop and deploy ML models to detect bot and fraudulent traffic
- Lead research and prototyping of new detection methods
- Monitor model performance and address drift or false positives
- Collaborate across teams to turn insights into product features
- Ensure compliance, scalability, and reliability of ML systems
What We’re Looking For
- Proven experience with ML in production environments
- Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.)
- Experience with NLPs or LLMs
- Familiarity with MLOps and real-time data applications
- A pragmatic mindset and strong problem-solving ability
- Background in adtech or fraud detection is a bonus
Senior Data Scientist in Manchester employer: Energy Jobline ZR
Join a dynamic scale-up SaaS company in Manchester, where innovation meets purpose. We foster a collaborative work culture that values creativity and problem-solving, offering ample opportunities for professional growth and development in the rapidly evolving field of data science. With a focus on eliminating wasteful ad traffic, you'll be part of a mission-driven team that not only prioritises employee well-being but also champions cutting-edge technology to make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and projects. This is your chance to demonstrate your expertise in Python, SQL, and AWS, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially around model performance and problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with ML, NLP, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about tackling ad fraud and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool projects related to ML or adtech, make sure to mention them! We’re interested in real-world applications of your skills, so don’t hold back on sharing your successes and learnings.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around model deployment and performance monitoring. Be ready to discuss specific projects where you've built or improved ML models, particularly in production environments.
✨Show Off Your Coding Skills
Since Python and SQL are key for this role, practice coding challenges that focus on data manipulation and model implementation. You might even want to prepare a small project or two to showcase your skills during the interview.
✨Understand the Adtech Landscape
Familiarise yourself with the adtech industry, especially around invalid traffic detection. Being able to speak knowledgeably about current trends and challenges will show your passion and understanding of the field.
✨Collaborate Like a Pro
This role involves working closely with engineering teams, so be prepared to discuss how you've successfully collaborated in the past. Think of examples where your teamwork led to successful outcomes, especially in cross-functional settings.
