At a Glance
- Tasks: Analyse data and develop machine learning models to solve real client problems.
- Company: Galytix, a pioneering AI firm transforming banking and insurance.
- Benefits: Competitive salary, career progression, and the chance to work with industry leaders.
- Other info: Collaborative environment with opportunities to lead and grow your skills.
- Why this job: Join a mission-driven team redefining industry standards with innovative AI solutions.
- Qualifications: Degree in a relevant field and 6+ years of experience in data science.
The predicted salary is between 43200 - 72000 £ 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.
Sr. Data Scientist London, UK employer: Galytix Limited
Galytix is an exceptional employer that champions innovation and career growth in the heart of London. With a strong focus on AI solutions for the banking and insurance sectors, employees benefit from a collaborative work culture that encourages creativity and professional development. Joining Galytix means being part of a mission-driven team that not only redefines industry standards but also offers unparalleled opportunities to work with senior leaders and top-tier clients, ensuring your skills are highly valued and continuously enhanced.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Data Scientist London, UK
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to NLP and Computer Vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past experiences in detail.
✨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, it shows you’re genuinely interested in joining our mission-driven team.
We think you need these skills to ace Sr. Data Scientist London, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Sr. Data Scientist. Highlight your experience with machine learning, NLP, and big data technologies. 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 AI in the banking and insurance sectors. Let us know how your background makes you a perfect fit for our mission-driven team.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing practical applications of your skills, especially in NLP and Computer Vision.
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Galytix Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, NLP, and computer vision. Be ready to discuss specific projects you've worked on, especially those involving big data technologies like Hadoop or Spark. This shows you're not just familiar with the concepts but have practical experience too.
✨Showcase Problem-Solving Skills
Prepare to tackle a live client problem during the interview. Think about how you would approach analysing and synthesising information to derive insights. Practise explaining your thought process clearly, as this will demonstrate your analytical skills and ability to work under pressure.
✨Get Familiar with Their AI Assistants
Research Galytix's AI assistants and understand how they empower financial professionals. Being able to discuss their applications and benefits in the banking and insurance sectors will show your genuine interest in the company and its mission.
✨Communicate Effectively
Since excellent communication is key, practise articulating complex technical concepts in simple terms. This will help you connect with interviewers who may not have a technical background. Remember, it's not just about what you know, but how well you can share that knowledge.
