Role Summary
Are you a Data Scientist with at least 3 years of working on Natural Language Processing (NLP) problems in both commercial and competitive environments? We are offering a rare and rewarding opportunity to help build state of the art capabilities for a premier firm serving the Financial Services Industry.
The successful candidate will have a can-do attitude and work with Process Engineering & Automation, Content Operations and Managed Services and Technology partners to develop NLP features relating to a variety of concepts, languages and sources. Multi-lingual NLP abilities are a plus.

Roles and Responsibilities :
If you are unable to demonstrate these, your application will NOT be considered.
You will have rapidly (< 1 month) researched, built and evaluated multiple NLP models using a range of classical (e.g. SVM) and sophisticated methodologies (e.g. NN) with near-production level code quality on a number of projects.

We expect the candidate to use Cloud and Desktop Based Hardware Instances and develop in a collaborative manner.

You will be required to keep abreast of latest industry and academic research, sharing insights and applications with core and non-core team members.

You are expected to independently solve Classical NLP Problems including:
• Named Entity Recognition
• Named Entity Disambiguation / Entity Tuning
• Named Entity Resolution / Concordance
• Part of Speech Tagging
• Semantic Parsing
• Co-Reference Resolution / Named Entity Relevance Scoring

Required Skills

• Pre-Processing Text Data
• Model Error Analysis and Debugging
• SciKit Learn, NLTK, spaCy , Stanford CoreNLP
• TensorFlow
• PyCharm, Python
• Java
• Data Collection, Processing and Analysis

Preferred Skills

• Ability to guide colleagues to craft the pipeline and workflow for models
• Hyper parameter optimization, regularization, feature engineering
• Data Visualisation
• Jupyter Notebook
• Multi-Lingual NLP (Chinese, Japanese and English)
• Basic understanding of Financial Markets

Experience and Qualifications Required

• Engineering background
• At least 3 years working on NLP problems in academic or commercial requirements

We care about benefits too.

We support our colleagues' wellbeing with inclusive benefits. So that's support for physical, financial, mental and environmental health, paid time off to volunteer, consumer discounts & savings and so much more. All of which are tailored to your needs and may vary by location. For more details talk to your recruiter.

Our fast paced and supportive environment is only possible due to determined, autonomous problem solvers who love our high performance culture. And as a global business, Refinitiv relies on diversity of culture and thought to deliver on our goals. So we seek hardworking, qualified employees in all our operations around the world-regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Refinitiv is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

Refinitiv makes reasonable accommodations for applicants and employees with disabilities. If an accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us to request an accommodation. A full list of our office locations and contact information can be found at: Refinitiv Office Locations .

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