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- Tasks: Design and deploy cutting-edge data science solutions with a focus on Generative AI.
- Company: Join a forward-thinking team in the Machine Learning and Advanced Analytics space.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by leveraging AI to solve real-world business challenges.
- Qualifications: Experience in data science and strong software development skills required.
- Other info: Collaborative environment with a focus on innovation and continuous learning.
The predicted salary is between 60000 - 80000 £ per year.
The Data Scientist / Quant Developer will contribute to and help scale the growing project ecosystem within the Machine Learning – Predictive Data & Advanced Analytics team, with a strong emphasis on Generative AI. The role requires deep quantitative and data science expertise combined with strong software engineering skills to design, prototype, and deploy scalable, cloud‑based analytics and AI solutions.
Key Responsibilities
- Design, develop, and deploy advanced data science and predictive analytics solutions, with a focus on Generative AI use cases.
- Prototype and build custom analytics tools and data products using strong software development practices.
- Work on end‑to‑end data science pipelines, including:
- Problem definition and scoping
- Data acquisition and preparation
- Exploratory data analysis (EDA)
- Model development and validation
- Insights generation, visualization, and storytelling
- Model deployment, monitoring, and maintenance
Required Skills & Experience
- Experience in Data Science, Quantitative Analytics, Predictive Analytics, or similar advanced analytical roles.
- Strong software development background with the ability to prototype and productionize analytics solutions.
- Hands‑on experience in data analysis and exploration across large and diverse datasets.
- Experience with streaming and/or batch analytics frameworks (e.g., Kafka, Spark, Flink).
- Solid experience in machine learning, statistical modeling, optimization, and numerical methods.
- Practical exposure to Generative AI, NLP, and modern ML techniques in real business applications.
- Strong analytical thinking, learning agility, and the ability to work independently as well as collaboratively.
- Proven ability to form insights, develop opinions, and clearly communicate them to the team.
- Strong English communication skills (written and spoken).
Data Scientist in London employer: Wipro
Contact Detail:
Wipro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Generative AI. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. We recommend practicing common data science interview questions and coding challenges to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are eager to join our team.
We think you need these skills to ace Data Scientist in London
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 data science, machine learning, and any relevant projects you've worked on, especially those involving Generative AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background aligns with our team's goals. Don't forget to mention specific projects or technologies you've worked with that relate to the job.
Showcase Your Projects: If you've built any analytics tools or worked on data science pipelines, make sure to include them in your application. We love seeing real-world applications of your skills, so share links to your GitHub or any relevant portfolios!
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 us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Wipro
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science basics, especially around machine learning and predictive analytics. Be ready to discuss your experience with different models and techniques, as well as how you've applied them in real-world scenarios.
✨Showcase Your Software Skills
Since the role requires strong software development skills, be prepared to talk about your coding experience. Bring examples of projects where you've built or deployed analytics solutions, and don't shy away from discussing the tools and frameworks you've used, like Kafka or Spark.
✨Prepare for Problem-Solving Questions
Expect to face questions that test your analytical thinking and problem-solving abilities. Practice articulating your thought process when defining problems, scoping projects, and generating insights from data. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly and Confidently
You'll need to explain complex concepts to both technical and non-technical stakeholders. Practice summarising your analytical findings and recommendations in a clear and concise manner. This will show that you can bridge the gap between data and decision-making effectively.