At a Glance
- Tasks: Design and present innovative AI and NLP solutions to help customers succeed.
- Company: Join a leading tech firm focused on AI and data science.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and wellness initiatives.
- Other info: Be part of a diverse team that values equal opportunity and personal growth.
- Why this job: Make an impact in the exciting world of AI and NLP while collaborating with top professionals.
- Qualifications: Degree in IT or Engineering, with expertise in Data Science and NLP.
The predicted salary is between 60000 - 80000 £ per year.
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. You will join other specialists and sales professionals on agile Bid Teams to work in a consultative manner with customers on specific solutions engagements. These teams help customers solve specific problems, innovate faster, or address their workflows needs and the solution may include multiple products, third party solutions and new capabilities.
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 (e.g., ideation, clarification, specification, documentation, and solution technical design).
- Understands customer specific AI and Data Science use cases and data requirements through direct engagement with customers, partners and third parties.
- Coordinates internal stakeholders (Partners / Professional Services / Proposition) 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
Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Equal Opportunity We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Business Consultant, AI & NLP employer: Dormont Manufacturing Co
At LSEG, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Business Consultant in AI & NLP, you will have access to tailored benefits such as healthcare, retirement planning, and paid volunteering days, all while working alongside a team of specialists dedicated to your professional growth. Our commitment to equal opportunity ensures a diverse and inclusive environment where every employee can thrive and contribute meaningfully to cutting-edge solutions in the financial industry.
StudySmarter Expert Advice🤫
We think this is how you could land Business Consultant, AI & NLP
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
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We think you need these skills to ace Business Consultant, AI & NLP
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
