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- Tasks: Analyze and synthesize data to solve real client problems using AI.
- Company: Galytix is revolutionizing the banking and insurance industry with cutting-edge AI technology.
- Benefits: Enjoy unparalleled career progression and work closely with industry leaders.
- Why this job: Join a mission-driven team redefining industry standards and making a real impact.
- Qualifications: 6+ years in Data Science with expertise in ML, NLP, and Big Data technologies.
- Other info: Opportunity to develop skills while working with top-tier clients globally.
The predicted salary is between 48000 - 84000 £ per year.
Galytix (GX) is delivering on the promise of AI.
GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.
GX AI assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.
Responsibilities:
- Contributing by processing, analyzing, and synthesizing information applied to a live client problem at scale.
- Developing machine learning models to extract insights from both structured and unstructured data in areas such as NLP and Computer Vision.
- The role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment.
Desired Skills:
- A university degree in Mathematics, Computer Science, Engineering, Physics or similar.
- 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning, NLP and Computer Vision.
- Experience with Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb.
- Hands-on capability developing ML models using open-source frameworks in Python and R and applying them on real client use cases.
- Proficient in one of the deep learning stacks such as PyTorch or Tensorflow.
- Working knowledge of parallelisation and async paradigms in Python, Spark, Dask, Apache Ray.
- An awareness and interest in economic, financial and general business concepts and terminology.
- Excellent written and verbal command of English.
- Strong problem-solving, analytical and quantitative skills.
- A professional attitude and service orientation with the ability to work with our international teams.
- Experience in leading a team is an advantage.
Why You Do Not Want to Miss This Career Opportunity:
- We are a mission-driven firm that is revolutionising the Insurance and Banking industry. We are not aiming to incrementally push the current boundaries; we redefine them.
- Customer-centric organisation with innovation at the core of everything we do.
- Capitalize on an unparalleled career progression opportunity.
- Work closely with senior leaders who have individually served several CEOs in Fortune 100 companies globally.
- Develop highly valued skills and build connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
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Sr. Data Scientist London, UK employer: Galytix Limited
Contact Detail:
Galytix Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Scientist London, UK
✨Tip Number 1
Make sure to showcase your experience with large-scale data technologies like Hadoop and Spark. Highlight any specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on capability in a production environment.
✨Tip Number 2
Emphasize your proficiency in machine learning frameworks such as PyTorch or TensorFlow. If you have developed models that have been applied to real client use cases, be ready to discuss these experiences in detail during the interview.
✨Tip Number 3
Since the role involves working with international teams, highlight any previous experience you have in collaborative environments. Discuss how you effectively communicate complex technical concepts to non-technical stakeholders.
✨Tip Number 4
Stay updated on the latest trends in AI and financial technology. Being able to discuss recent advancements or case studies in NLP and computer vision will show your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Sr. Data Scientist London, UK
Some tips for your application 🫡
Understand the Company: Dive deep into Galytix's mission and values. Familiarize yourself with their AI solutions for the banking and insurance sectors, as well as their approach to client problems. This knowledge will help you tailor your application.
Highlight Relevant Experience: Make sure to emphasize your 6+ years of experience in Data Mining, Machine Learning, NLP, and Computer Vision. Provide specific examples of projects where you've developed ML models or worked with large-scale data technologies like Hadoop or Spark.
Showcase Technical Skills: Clearly outline your proficiency in Python, R, and deep learning frameworks such as PyTorch or TensorFlow. Mention any hands-on experience with parallelization and async paradigms, as these are crucial for the role.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for revolutionizing the banking and insurance industry. Highlight how your skills align with Galytix's goals and your desire to contribute to their mission.
How to prepare for a job interview at Galytix Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models, especially in NLP and Computer Vision. Highlight specific projects where you've successfully implemented these technologies, and be ready to explain your approach and the outcomes.
✨Demonstrate Problem-Solving Abilities
Since the role involves processing and analyzing information for live client problems, think of examples where you've tackled complex issues. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly convey your thought process.
✨Familiarize Yourself with Industry Concepts
Understand the basics of banking and insurance, as well as the specific challenges these industries face. This knowledge will help you connect your technical skills to real-world applications during the interview.
✨Prepare for Team Dynamics Questions
Given the emphasis on working with international teams, be ready to discuss your experience in collaborative environments. Share examples of how you've led teams or contributed to group projects, focusing on communication and service orientation.
