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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 financial services with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in AI while working with cutting-edge technology and data visualisation.
- Qualifications: Expertise in NLP, data visualisation tools, and strong programming skills in Python.
- 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).
Data Marketing Scientist in London employer: Impellam Group
Contact Detail:
Impellam Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 involving NLP and data visualisation. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to discuss your experience with tools like Tableau and Python libraries – they want to see you in action!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that Data Marketing Scientist role!
We think you need these skills to ace Data Marketing Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Marketing Scientist role. Highlight your experience with NLP, transformer architectures, and data visualisation tools like Tableau or Power BI. 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 working on GenAI-Powered projects and how your background in data science makes you a perfect fit. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action, especially in NLP and data visualisation.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to submit all your materials in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Impellam Group
✨Know Your NLP Inside Out
Make sure you brush up on your knowledge of Natural Language Processing (NLP) and transformer architectures. Be ready to discuss specific projects where you've applied these techniques, as well as any challenges you faced and how you overcame them.
✨Show Off Your Data Visualisation Skills
Prepare to showcase your experience with data visualisation tools like Tableau, Power BI, or Cognos. Bring examples of your work that highlight how you've turned complex data into compelling visuals that tell a story.
✨Brush Up on Your Technical Skills
Since this role requires proficiency in Python and SQL, make sure you're comfortable discussing your experience with these languages. Be ready to explain how you've used libraries like Pandas and NumPy in past projects.
✨Understand the Business Context
Familiarise yourself with the financial services sector and how data science can drive value in this space. Being able to connect your technical skills to real-world applications will impress your interviewers.
