At a Glance
- Tasks: Design and implement NLP models to analyse large-scale textual data for ESG insights.
- Company: Join Sensefolio, a leader in ESG data and analytics with a focus on sustainability.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and innovation.
- Why this job: Make a positive impact in sustainable finance while working with cutting-edge technology.
- Qualifications: 3+ years in NLP or machine learning; proficiency in Python and NLP libraries required.
The predicted salary is between 63000 - 77000 £ per year.
Sensefolio, a leading provider of Environmental, Social, and Governance (ESG) data and analytics, is seeking an experienced and passionate NLP Engineer to join our innovative team. In this role, you will leverage your expertise in natural language processing (NLP), machine learning, and data analysis to develop and refine advanced algorithms that extract valuable insights from textual data related to ESG factors. If you are excited about applying your skills to make a positive impact in the world of sustainable finance, we would love to hear from you!
Key Responsibilities
- Design, develop, and implement NLP models and algorithms to analyze and process large-scale textual data from various sources, such as company reports, social media posts, and financial news.
- Collaborate with data scientists, developers, and other team members to enhance ESG rating methodologies, improve data processing pipelines, and optimize platform performance.
- Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio’s ESG data and analytics solutions.
- Conduct research on emerging ESG trends and issues, and incorporate findings into model development and enhancement.
- Develop and maintain technical documentation, including model specifications, performance metrics, and validation results.
Qualifications
- Bachelor’s degree in computer science, data science, linguistics, or a related field; advanced degree (MS, PhD) is a plus.
- A minimum of 3 years of professional experience in NLP, machine learning, or artificial intelligence, preferably within the financial services, ESG, or data analytics industries.
- Proficiency in Python and NLP libraries, such as NLTK, spaCy, or Gensim.
- Strong understanding of data structures, algorithms, and software design principles.
- Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable.
- Familiarity with ESG investing principles and market trends is a plus.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
What We Offer
- Competitive salary and benefits package.
- Collaborative, inclusive, and supportive work environment.
- Opportunities for professional growth and career advancement.
- The chance to contribute to the development of innovative ESG data and analytics solutions that drive positive change in the investing world.
If you are an experienced NLP Engineer with a passion for sustainable finance, we encourage you to apply for this exciting opportunity at Sensefolio. To submit your application, please send your resume and cover letter to careers [at] sensefolio.com. Sensefolio is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We welcome and encourage applications from candidates of all backgrounds, experiences, and perspectives.
NLP Engineer employer: Sensefolio
At Sensefolio, we pride ourselves on being an excellent employer by fostering a supportive and collaborative work culture that prioritises employee growth and development. Our remote ESG Sales & Client Growth Specialist role not only offers flexibility but also provides access to comprehensive training and mentorship opportunities, ensuring that our team members thrive in their careers while making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land NLP Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sensefolio!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like NLP Engineer at Sensefolio.
✨Leverage Professional Networks
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 Sensefolio.
✨Apply Directly through Our Website
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We think you need these skills to ace NLP Engineer
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 Sensefolio, 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 Sensefolio. 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 Sensefolio
✨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 Sensefolio!
✨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.
