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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).
Marketing Data Scientist in England employer: Impellam Group
Contact Detail:
Impellam Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist in England
✨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
Don’t just tell them what you can do; show them! Create a portfolio showcasing your projects, especially those involving NLP and data visualisation. We love seeing real examples of your work, so make sure to highlight your best stuff!
✨Ace the Interview
Prepare for those interviews like it’s a big exam! Brush up on your technical skills, especially around Python and machine learning concepts. We recommend practising common interview questions and maybe even doing mock interviews with friends to build your confidence.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to dive into exciting projects like our GenAI-Powered Digital Assistant programme.
We think you need these skills to ace Marketing Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Marketing Data Scientist role. Highlight your experience with NLP, data visualisation tools, and any relevant projects that showcase your skills in Python and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our GenAI-Powered Digital Assistant programme. Be specific about your achievements!
Showcase Your Technical Skills: Don’t forget to emphasise your technical skills in your application. Mention your proficiency in cloud computing, Python libraries, and any experience you have with large datasets or deploying models on cloud platforms.
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 keep track of your application status directly!
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 before the interview. Be ready to discuss both traditional techniques and modern transformer architectures, as well as how you've applied them in past projects.
✨Showcase Your Data Visualisation Skills
Prepare to talk about your experience with data visualisation tools like Tableau, Power BI, or Cognos. Bring examples of your work that demonstrate 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 cloud computing, make sure you're comfortable discussing your experience with libraries like Pandas and NumPy. Be ready to explain how you've used SQL for data extraction and manipulation.
✨Demonstrate Your Machine Learning Knowledge
Be prepared to dive deep into machine learning fundamentals. You might be asked about statistical concepts, predictive modelling techniques, and even time series analysis, so have some examples ready to showcase your understanding.
