Senior Data Scientist - APAC

Senior Data Scientist – APAC

Will you like to join a leader in legal insights and technology?

Are you passionate about innovation? 
 

About our Company 

LexisNexis Legal & Professional, a division of RELX, is a global leader in providing information-based analytics and decision tools for professional and business customers. With a presence in over 150 countries and a workforce of 11,300 employees worldwide, we are committed to delivering exceptional service and innovative solutions. 

About our Team 

Our team, based in the APAC region, plays a crucial role in supporting all regional functions through comprehensive reporting and data-driven insights. We are currently undergoing an exciting transition, where we are enhancing our data capabilities and embracing Machine Learning and Predictive Analytics to better support our business objectives and drive growth. 

About the Role 

Senior Data Scientists are recognized as subject matter experts within their domain. They are responsible for defining complex data projects and overseeing their execution. While they may lead small program teams, their primary leadership is through influence. They excel in mentoring teams, fostering a culture of collaboration and innovation. Their focus is on developing and implementing best practices and methodologies, ensuring high standards of quality and driving the team's success through their exceptional leadership skills.  The ideal candidate will have a strong background in machine learning, predictive analytics, statistical analysis, and data visualization. 

Responsibilities: 

• Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights and data enrichment from internal and external sources. 

• Lead the development and implementation of advanced data models and algorithms to solve complex business problems with Machine Learning and Predictive Analytics. 

• Design and execute experiments to test hypotheses and validate models. 

• Understand data pipelines, connectors, and ETL processes to ensure data quality and integrity. 

• Create detailed documentation related to the experiment processes, including frameworks for problem definition, data preparation, model selection, hyperparameter tuning, model deployment, and presenting results.   

• Communicate findings and recommendations to stakeholders through clear and compelling visualisations and reports. 

• Provide mentorship and guidance to team members to enhance skills across the group. 

Requirements:

• Master’s degree in data science, Statistics, Computer Science, or a related field.
• 7+ years of experience in data science or a related role.
• Expert and independent in relevant Data Science, Data Mining, and/or Statistical frameworks:
  • Time Series Analysis
  • Logistic Regression
  • Clustering and Segmentation
  • Statistical Inference, Analysis of Variance, Principal Component Analysis, Correlation and other core concepts.
  • Basic NLP and Text Analytics - Text Pre-Processing, Topic Modelling, Sentiment Analysis, and Classification Techniques.
  • Data visualization

• Possess domain expertise in Data Science and/or Statistical Analysis, with the capability to develop advanced models and collaborate with cross-functional teams to deploy them into production.
• Ability to design, scope, and implement new statistical methodologies with guidance and approval from leadership.
• Can create and use novel data steps to prepare and process data for analysis.
• Excels in teaching and directing others with a supportive and caring demeanor.
• Able to oversee, direct, and encourage others throughout the ML ecosystem.
• Can create and utilise novel code to conduct analysis, overseeing others in the application of developing the code.
• Expert in standard coding languages of Python and SQL.
• Familiarity with Apache Spark/Scala, Unix/Bash, R libraries is a plus.

Platform / ML Framework / Tools:

• Extensive use of Databricks
• Extensive use of AWS / Redshift / Sagemaker
• Python libraries central to ML (Scikit-learn, NumPy, Pandas, etc)
• Knowledge of TensorFlow or PyTorch
• Familiarity with Apache Spark ML, ML Flow, PySpark
• Strong knowledge in Power BI / Tableau

Work in a way that works for you 
 

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. 

 
Working for you 
 

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 
 

• Flexible working arrangements 

• Benefits for you and your family 

• Access to learning and development resources 

 
Your recruiter will advise you on the full benefits package for your location 
 

About the Business 
 

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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