Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI solutions while collaborating with cross-functional teams.
- Company: Join an innovative team at the forefront of AI and data science.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming concepts into scalable AI-powered products.
- Qualifications: Strong background in data science, machine learning, and software engineering required.
- Other info: Dynamic environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by Synergetic . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range Direct message the job poster from SynergeticWorking with great companies to find great people Full Stack Data Scientist – AI & Knowledge SystemsAbout the RoleWe are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products.We are looking for candidates that can combine technical expertise with a true consulting approach.ResponsibilitiesDesign, develop, and implement advanced machine learning models and AI capabilitiesBuild and maintain knowledge graphs and causal inference systemsCreate probabilistic models to address complex business problemsScale AI solutions from proof-of-concept to MVP and full productionCollaborate with backend engineers on data pipelines and infrastructureWork within solution architecture frameworks to ensure AI integrationContribute to solution design and technical decision-makingTranslate business requirements into technical specificationsRequired Skills & ExperienceGreat experience combining data science with software engineeringStrong expertise in machine learning, with focus on causal ML and probabilistic modellingExperience developing and implementing knowledge graphsProficiency in scaling AI solutions from concept to productionWorking knowledge of backend systems, data pipelines, and ETL processesFamiliarity with cloud platforms, particularly Microsoft AzureUnderstanding of microservices architecture and distributed systemsExperience with DevOps practices for AI/ML workflows (MLOps)Strong programming skills in Python and related data science librariesDemonstrated ability to work within solution architecture frameworksPreferred QualificationsExperience with multiple cloud providers beyond AzureFamiliarity with container orchestration (Kubernetes)Knowledge of graph databases and query languagesExperience with deep learning frameworksBackground in NLP, computer vision, or reinforcement learningDomain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plusSeniority level Seniority level Mid-Senior levelEmployment type Employment type Full-timeJob function Job function ConsultingIndustries IT Services and IT ConsultingReferrals increase your chances of interviewing at Synergetic by 2xGet notified about new Data Scientist jobs in London Area, United Kingdom .London, England, United Kingdom 20 hours agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 6 days agoLondon, England, United Kingdom 4 days agoHammersmith, England, United Kingdom 19 hours agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoData Scientist, Internship, United Kingdom – BCG X London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 4 days agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 3 weeks agoGreater London, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 hours agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom £60,000.00-£120,000.00 1 month agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 month agoLondon Area, United Kingdom £65,000.00-£75,000.00 18 hours agoWe\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Data Scientist employer: Synergetic
Contact Detail:
Synergetic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data science scenarios and be ready to discuss how you’ve tackled complex problems in the past. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s 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 Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your expertise in machine learning, software engineering, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data science, and how your background makes you a perfect fit for this role. Don’t forget to mention any experience with cloud platforms or knowledge graphs!
Showcase Your Projects: If you've worked on any cool projects, especially those involving AI solutions or machine learning models, make sure to include them. We love seeing practical applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our innovative team at StudySmarter!
How to prepare for a job interview at Synergetic
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning models and software engineering skills. Be ready to discuss specific projects where you've implemented these technologies, especially in relation to causal ML and probabilistic modelling.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples that highlight your ability to collaborate effectively. Think about times when you’ve worked with backend engineers or contributed to solution design.
✨Demonstrate Your Problem-Solving Approach
Be prepared to tackle hypothetical business problems during the interview. Show how you would translate business requirements into technical specifications and discuss your thought process in developing AI solutions.
✨Familiarise Yourself with the Company’s Tech Stack
Research the company’s use of cloud platforms, microservices architecture, and any specific tools they might be using. This will not only help you answer questions more effectively but also show your genuine interest in their operations.
