Senior Data Scientist at Beekin

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Statistical Knowledge, Python, SQL, Pandas, NumPy, Scikit-learn, Big Data Technologies, Cloud Platforms, Real Estate, Finance, Problem-Solving, Communication, Mentoring

Industry

Software Development

Description

About Beekin Beekin is revolutionizing the real estate industry with advanced AI solutions that enhance affordability and community for renters. Our platform leverages big data and machine learning to empower investors, developers, and financiers to navigate the real estate market effectively. We take pride in our innovative culture and achieving significant results for our clients while always keeping the human aspect of housing in focus. We are seeking a Senior Data Scientist to join our dynamic team. As a Senior Data Scientist at Beekin, you will play a pivotal role in designing, building, and implementing sophisticated predictive models and algorithms that will enhance our suite of products. Your Responsibilities: Develop machine learning models from conception to production, focusing on real-world applications within the real estate space. Analyze large sets of data to derive actionable insights and drive strategic decisions. Collaborate with engineers, product managers, and domain experts to enhance model performance and user experience. Utilize strong statistical knowledge to validate modeling assumptions and interpret results. Mentor junior data scientists, fostering a culture of learning and innovation within the team. Stay current on industry trends and emerging technologies to ensure that Beekin remains at the forefront of data science applications. MS’s or Ph.D. degree in Data Science, Statistics, Mathematics, or Physics A minimum of 5 years experience with python and 2 years with SQL Proficient in Python libraries such as Pandas, NumPy, Scikit-learn Optional: Experience with big data technologies (e.g., Spark, Hadoop) is highly desirable. Excellent analytical, problem-solving, and communication skills with the ability to convey complex concepts to non-technical stakeholders. Experience with cloud platforms (AWS, Azure, or GCP) is preferred. Familiarity with real estate or finance domains is a plus. A career trajectory you can own Training & Development Hybrid schedule (in-office and remote) Competitive Leave Package Attractive Stock options Allowance for industry conference

Responsibilities

Develop machine learning models and analyze large data sets to derive actionable insights. Collaborate with cross-functional teams to enhance model performance and mentor junior data scientists.