At a Glance
- Tasks: Leverage AI and NLP expertise to design innovative solutions for clients.
- Company: Join LSEG, a global leader in financial markets and data services.
- Benefits: Enjoy competitive pay, healthcare, and opportunities for personal growth.
- Other info: Collaborative culture that values diversity and innovation.
- Why this job: Make a real impact in the finance industry with cutting-edge technology.
- Qualifications: Degree in IT or Engineering, with experience in Data Science and NLP.
The predicted salary is between 60000 - 80000 £ per year.
About Us: LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.
Our People: People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.
Role Summary: With specific expertise in AI, Data Science and Natural Language Processing (NLP) domain, this pre-sales role collates and synthesises requirements to design and present innovative end to end solution options to enable deal closure and sell value. The Solution Consultant supports the sales motion through deep knowledge of specific customer workflows and relevant technologies.
What will you be doing?
- Bring specialist domain expertise in big data processing, AI, Data Science and NLP to complex customer engagements including developing use-cases, working with professional services, third party solutions and/or integration with client data engineering.
- Brings a mix of technical, product, content and data pipeline workflow expertise to collaboratively shape solutions.
- Understands customer specific AI and Data Science use cases and data requirements through direct engagement with customers, partners and third parties.
- Coordinates internal stakeholders to meet customer solution needs.
- Runs detailed technical customer presentations/workshops for complex proposition deals.
- Works with Professional Services to deliver Proof of Concepts including development/integration work.
- Owning and defining customer solution proposals and statements of work.
- Ensures collaboration with post-sales professional services/implementation and customer success teams.
Who are we ideally looking for?
- University degree with Information Technology or Engineer background.
- Data Science expertise and experience with a particular focus on Natural Language Processing projects.
- Understanding and practical experience of applying common programming and scripting languages.
- Previous pre-sales experience over software and technical product is highly valued.
- Good presentation and communication skill.
- Good knowledge of product selling cycle.
- Basic knowledge of web protocols such as HTTP, XML, and JSON.
- Knowledge of financial industry and understanding of buy side, sell side, wealth, etc.
- Knowledge of data feeds for finance industry and regulation of the finance industry.
- Experience in working with Web Service APIs and Websocket APIs.
- Able to confidently program in Python for quick prototyping and showcasing POCs.
- Working knowledge of NLP libraries in any of the programming language in data science stack such as Python, R, Spark.
- Working knowledge of NoSQL databases and good familiarity of data ingestion, data munging activities.
- Experience in working with AWS and GCP services for various activities in the data science workflow.
- Working knowledge of deep learning frameworks such as TensorFlow, PyTorch.
- Broad understanding of Transfer Learning Models and its application to alternative data in Finance.
- Good understanding of NLP modelling concepts and ability to implement off-the-shelf NLP models for specific use cases.
- Ideally you would have experience in supporting the sale of software/data solutions in complex and challenging environments.
Career Stage: Senior Associate
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Business Consultant, AI & NLP in London employer: London Stock Exchange Group
LSEG is an exceptional employer that prioritises innovation, diversity, and personal growth within a collaborative culture. With a strong commitment to employee development, we offer tailored benefits, including healthcare and wellbeing initiatives, while fostering an inclusive environment where every individual can thrive. Located in the heart of London, our dynamic team of 25,000 professionals across 65 countries empowers you to make a meaningful impact in the financial markets sector.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Business Consultant, AI & NLP in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those already at LSEG. A friendly chat can open doors and give you insider info on the company culture and what they really value.
✨Tip Number 2
Prepare for interviews by diving deep into AI, Data Science, and NLP topics. Brush up on your technical skills and be ready to discuss how you've tackled similar challenges in the past. Show them you're not just a candidate, but a solution provider!
✨Tip Number 3
Practice your presentation skills! Since this role involves running detailed customer presentations, being able to clearly articulate your ideas and solutions is key. Grab a friend or use a mirror to rehearse until you feel confident.
✨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 serious about joining the LSEG team and contributing to our mission.
We think you need these skills to ace Business Consultant, AI & NLP in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Business Consultant role. Highlight your experience in AI, Data Science, and NLP, and show how it aligns with what we do at LSEG.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in programming, data processing, and customer engagement.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team!
How to prepare for a job interview at London Stock Exchange Group
✨Know Your Stuff
Make sure you brush up on your AI, Data Science, and NLP knowledge. Be ready to discuss specific use cases and how they relate to the financial industry. This will show that you understand the role and can bring valuable insights to the table.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you've tackled complex problems using your technical skills. Think about how you can present these examples in a way that highlights your ability to collaborate with teams and deliver innovative solutions.
✨Practice Your Presentation Skills
Since you'll be running detailed technical presentations, practice explaining complex concepts in simple terms. Use clear visuals if possible, and be ready to answer questions. This will demonstrate your communication skills and ability to engage with clients.
✨Understand the Company Culture
Familiarise yourself with LSEG's values of Integrity, Partnership, Excellence, and Change. Think about how your personal values align with theirs and be prepared to discuss this during the interview. It shows you're not just a fit for the role, but for the company as well.
