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summary

hong kong
randstad hong kong
HK$50,000 - HK$90,000 per month, 1 Month Bonus
permanent
full-time

specialism
information technology
sub specialism
data science & machine learning
reference number
91M0220731_2446996137333047592

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job details

about the company.
my client is a leading Insurer with hiigh exposure in HK, currently working on a large-scale regional project

about the team.multiple teams in the APAC region, you will be working closely with the data team in HK and other regions

about the job.
...

Develop new products using AI and Machine Learning:
- Utilize advanced machine learning techniques to design and develop innovative products and solutions.
- Collaborate with product managers and engineers to identify opportunities for AI and ML integration.
- Conduct research, prototype, and implement models to solve complex business problems.
- Continuously evaluate and improve the performance of existing AI and ML models.
Perform deep neural analysis of the digital platform:
- Analyze large volumes of data from our digital platform using deep neural networks.
- Extract meaningful insights, patterns, and trends to drive business growth and optimize user experience.
- Identify opportunities for optimization, automation, and personalization through data analysis.
- Collaborate with data engineers to ensure the availability and quality of data for analysis.
Develop and implement data analytics strategies:
- Define and execute data analytics strategies aligned with business goals.
- Apply statistical analysis and predictive modeling techniques to uncover insights and make data-driven recommendations.
- Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to identify and prioritize analytical projects.

skills & experiences required.

Education and Experience:
- Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field.
- Minimum of 6 years of experience in developing AI and ML solutions in a professional setting.
- Proven track record of successfully delivering data-driven products or solutions.
Technical Skills:
- Strong programming skills in Python/R and experience with relevant libraries and frameworks.
- In-depth knowledge of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in data manipulation, feature engineering, and model evaluation techniques.
- Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Analytical Skills:
- Solid understanding of statistical analysis, experimental design, and hypothesis testing.
- Experience with advanced analytics techniques such as clustering, classification, regression, and time series analysis.
- Ability to translate complex data into actionable insights and communicate findings effectively to non-technical stakeholders.
Strategic Thinking and Collaboration:
- Strong problem-solving skills and the ability to think strategically to drive business outcomes.
- Proven experience in developing and implementing data-driven strategies.
- Excellent collaboration and communication skills to work effectively with cross-functional teams.
Continuous Learning and Innovation:
- Passion for staying updated with the latest advancements in AI, ML, and data science.
- Demonstrated ability to explore and apply new techniques, frameworks, and methodologies.

candidate with more experiences will be considered as Data Lead.

about the company.
my client is a leading Insurer with hiigh exposure in HK, currently working on a large-scale regional project

about the team.multiple teams in the APAC region, you will be working closely with the data team in HK and other regions

about the job.
...

Develop new products using AI and Machine Learning:
- Utilize advanced machine learning techniques to design and develop innovative products and solutions.
- Collaborate with product managers and engineers to identify opportunities for AI and ML integration.
- Conduct research, prototype, and implement models to solve complex business problems.
- Continuously evaluate and improve the performance of existing AI and ML models.
Perform deep neural analysis of the digital platform:
- Analyze large volumes of data from our digital platform using deep neural networks.
- Extract meaningful insights, patterns, and trends to drive business growth and optimize user experience.
- Identify opportunities for optimization, automation, and personalization through data analysis.
- Collaborate with data engineers to ensure the availability and quality of data for analysis.
Develop and implement data analytics strategies:
- Define and execute data analytics strategies aligned with business goals.
- Apply statistical analysis and predictive modeling techniques to uncover insights and make data-driven recommendations.
- Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to identify and prioritize analytical projects.

skills & experiences required.

Education and Experience:
- Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field.
- Minimum of 6 years of experience in developing AI and ML solutions in a professional setting.
- Proven track record of successfully delivering data-driven products or solutions.
Technical Skills:
- Strong programming skills in Python/R and experience with relevant libraries and frameworks.
- In-depth knowledge of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in data manipulation, feature engineering, and model evaluation techniques.
- Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Analytical Skills:
- Solid understanding of statistical analysis, experimental design, and hypothesis testing.
- Experience with advanced analytics techniques such as clustering, classification, regression, and time series analysis.
- Ability to translate complex data into actionable insights and communicate findings effectively to non-technical stakeholders.
Strategic Thinking and Collaboration:
- Strong problem-solving skills and the ability to think strategically to drive business outcomes.
- Proven experience in developing and implementing data-driven strategies.
- Excellent collaboration and communication skills to work effectively with cross-functional teams.
Continuous Learning and Innovation:
- Passion for staying updated with the latest advancements in AI, ML, and data science.
- Demonstrated ability to explore and apply new techniques, frameworks, and methodologies.

candidate with more experiences will be considered as Data Lead.

experience
7 years
skills
Python / Spark / AWS / SQL / Redshift
qualifications
Master's degree or above
education
Post Graduate Diploma

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senior data scientist (50 - 80k ).

job details

experience

skills

qualifications

education

the application process.

apply with randstad.

we’ll give you a call.

getting you registered.

compliance check.

reference and background check.

the perfect job for you.

the interview.

start your new job.

get in touch

anson tse

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