Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to develop a GenAI-Powered digital assistant and create intelligent conversational agents.
- Company: Leading banking client in the financial services sector with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in the financial industry.
- Qualifications: Expertise in NLP, data visualisation, and proficiency in Python and cloud computing.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Hybrid Working – Local Site – 1-2 days a week on site.
Financial Services
Lorien's leading banking client is looking for a number of Data Scientists to join them on a new long term project which will be working on GenAI-Powered Digital Assistant programme.
What you’ll do
- Collaborate with cross-functional teams to develop and enhance our GenAI-Powered smart digital assistant.
- Leverage your expertise in NLP and transformer architectures to create intelligent conversational agents.
- Dive into the world of traditional NLP techniques and stay ahead of the curve.
- Apply a strong understanding of fundamental concepts - statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data.
- Be the driving force behind our data visualisation efforts – whether it's Tableau, Power BI, or Cognos you’ll create compelling visualisations that bring data to life.
- Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable.
Key Skills and Experience
- NLP Mastery
- Proficiency in LLMs and transformer architecture.
- Deep understanding of traditional NLP techniques.
- Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.)
- Proficiency in Python visualisation libraries (Matplotlib, Seaborn).
- SQL for data extraction and manipulation.
- Experience working with large datasets.
- Proficiency in cloud computing and python programming.
- Familiarity with Python libraries like Pandas, NumPy, scikit-learn.
- Experience with cloud services for model training and deployment.
- Statistical concepts for robust data analysis.
- Linear algebra principles for modelling and optimisation.
- Calculus for optimising algorithms and models.
- Predictive modelling techniques for regression and classification.
- Time series analysis for handling time-dependant data.
- Deep learning and neural networks.
- Expertise in managing and operationalising large language models.
- Experience in deploying models on cloud platforms (e.g. AWS, SageMaker, Google AI Platform, IBM Watson).
Marketing Data Scientist in London employer: Impellam Group
Contact Detail:
Impellam Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving NLP and data visualisation. We want to see your work in action! Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications.
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning fundamentals and data visualisation tools. We recommend practicing common interview questions and even doing mock interviews with friends to build your confidence.
✨Apply Through Our Website
Don’t forget to check out our job listings and apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Marketing Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your NLP mastery and data visualisation expertise, so we can see how you fit right into our team!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working on GenAI-Powered projects. Share specific examples of your experience with large datasets and cloud computing to really grab our attention.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving NLP or data visualisation, make sure to include them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Impellam Group
✨Know Your NLP Inside Out
Make sure you brush up on your natural language processing (NLP) skills. Be ready to discuss both traditional techniques and the latest advancements in transformer architectures. Prepare examples of how you've applied these concepts in past projects, as this will show your depth of knowledge.
✨Showcase Your Data Visualisation Skills
Since visualisation is key for this role, come prepared with a portfolio of your work. Whether it's Tableau, Power BI, or Python libraries like Matplotlib, be ready to explain your design choices and how they helped convey complex data insights effectively.
✨Brush Up on Your Statistical Concepts
The interviewers will likely want to test your understanding of statistics, linear algebra, and calculus. Be prepared to solve problems on the spot or discuss how you've used these concepts in real-world scenarios to extract valuable insights from data.
✨Familiarise Yourself with Cloud Platforms
As cloud computing is essential for deploying models, make sure you know your way around platforms like AWS or Google AI. Be ready to discuss any experience you have with model training and deployment, as well as how you've operationalised large language models in previous roles.
