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.
