Junior Data Scientist

Key Skills

Agile methodologies, Analytical and Problem solving, AWS, Azure, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data Mining, Data science techniques, DevOps, Git, Github, Machine learning techniques, MLflow, MLOps tools, NoSQL, PowerBI, Predictive analytics, Predictive Modeling, PySpark, Python Programming, SQL

Job Description

Landmark has the biggest geospatial datasets in the property market in the UK and the Data Insight is responsible to leverage that data to provide insights for our business and customers across financial sector, real estate, conveyancing and more.

The team develops data science, machine learning, and deep learning solutions to feed into new products as well as providing insights that drive the growth of the business units along with different verticals or business functions such as marketing, sales, and customer support. They are responsible for MLOps such as model deployment, and model maintaining, and are continually looking for ways to improve and implement best practices.

The team works closely with the Product Managers across different business units to support them with product development and enhancements. This is an exciting opportunity to be part of a growing team that is at the core of digital transformation of the business and industry and work with millions of records of diverse property data.

Main purpose of the role:

• Evaluate information related to properties, environment and climate to interpret property risks, market trends and changes as well as customers behaviour.
• Enhance the ability to capture data from unstructured sources that can be utilised in downstream data processing.
• Create model outputs that can be used to help our customers to consume insights related to Landmark’s application domain in climate change, property market, etc.
• Conduct proof of concepts on product ideas and build prototypes rapidly and evaluate the performance of models and communicating it to product team and customers 

About You

The Junior Data Scientist will have previously experience in a data science or ML engineering function, have a track record of leveraging data analytics or machine learning in a business environment and be able to look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the sales, customer support, HR and marketing departments)

Required Skills and Attributes:

• High calibre with STEM background.
• Previous experience in a position in data science and analytics.
• Experience of data mining principles, predictive/prescriptive analytics, machine learning and statistical models.
• Knowledge of agile methods of delivery and familiarity with surrounding tooling such as Jira, and Azure DevOps.
• Understanding of and experience using analytical concepts and statistical modelling techniques to perform commercial data analysis. Strong problem solving, quantitative and analytical abilities.
• Experience of working across multiple projects in analytics, modelling, and segmentation and use of diverse datasets to build models and predictions.
• Strong ability to plan, manage, and push forward numerous processes, people and projects simultaneously.
• Define and document pipelines to demonstrate what conclusions can be reached and how quickly based on current digital product performance.
• Excellent communication, collaboration and delegation skills.
• Strong programming skills in Python, Pyspark, SQL.
• Knowledge with big data pipeline tools.
• Experience with Data Science tools and packages: Databricks, TensorFlow/Keras.
• Cloud environments: Azure or AWS or similar cloud ecosystem.
• Knowledge of CI/CD and MLOps tools and environments such as Git and GitHub Actions.

Bonus Points for:

• Having familiarity with geospatial data and geospatial python packages (Sedona, geopandas, etc.)
• Having familiarity with climate change and Environmental, Social and Governance (ESG) domain
• Prior experience with leading a project and driving conversations.
• Power BI, NoSQL, MLFlow
• Harvesting data from Web Sources