



Who we are looking for
· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
· Mentor and coach other team members
· Evaluate the performance of NLP models and ideate on how they can be improved
· Support internal and external NLP-facing APIs
· Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioural Skills
· Strong analytical and problem-solving capabilities.
· Proven ability to multi-task and deliver results within tight time frames
· Must have strong verbal and written communication skills
· Strong listening skills and eagerness to learn
· Strong attention to detail and the ability to work efficiently in a team as well as individually
Technical Skills
Hands-on experience with
· NLP
· Deep Learning
· Machine Learning
· Python
· Bert
Preferred Requirements
· Experience in Computer Vision is preferred
Role: Data Scientist
Industry Type: Banking
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning

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Springer Capital is a real estate investment firm based in Chicago, Shanghai, and Hong Kong. Springer engages in Capital Advisory for APAC Private Equity and Asset Management making financial investments in real estate and other sectors in US markets.
Springer seeks an Data Science Analyst to join the Technology side of the company. The internship can be onsite in Shanghai or conducted remotely. The start date of the internship is flexible.
Job Highlights
As an intern for the data analysis team, you will be focusing on researching and developing tools and workflow that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer.
What you will do as an intern:
Collect data from various sources, including databases, APIs, and web scraping tools.
Clean and process raw data to ensure it is accurate and consistent.
Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.
Communicate insights in a clear and concise manner with the manager along your progress.
Implement solutions based on insights you discovered to improve business processes or solve problems.
Our commitment to your development:
Overarching and detailed training materials before interns hit the desk
Interns will have group calls with the director and supervisors regularly for up-to-date and constructive feedback
Greater leadership and responsibilities will be given to interns based on work quality
Who we are looking for:
Strong experience using Excel.
Passionate about analyzing data.
Experience (preferred) with data analysis.
Research and problem-solving abilities
About Springer:
Springer Capital focuses on raising capital and solving capital issues in the real estate private equity market. We have experience raising capital for clients across the entire capital spectrum. Client relationships are a top priority for Springer. We establish long-term relationships with investors and lenders as well as have active dialogues with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With Springer’s expertise in the housing market, we ensure all parties are aligned in land acquisitions, development, improvements, sales, and lease-up.
Technical and legal Information
The internship enrollment period is flexible. The expected hours are 20 per week for ~3 months. Upon completion, you will receive an internship confirmation letter, or you can apply to your school for internship credit.
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We are offering superb career growth opportunities, great compensation, and benefits.
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