#hiring #visaprovided *Data Scientist*, Tadworth, *United Kingdom*, contract #helpinghands #opentowork #jobopportunity *Apply* : https://ift.tt/3jt3Osn *Visa can be sponsored,for the successful candidate*
Data Scientist - 12 Months Contract - Remote
Essential:- Experience of working within Labelling. Data Architecture. Datamodelling to create Algorithms and predictive models. Data Lakes.
JOB SUMMARY
The Labelling Data Scientist is responsible for addressing critical data-related business problems by creating strategies, to analyse, connect and draw conclusions from clients systems, data lakes and external sources using robust data science techniques. Working with Business subject matter experts, the role will be familiar with labelling standards and compliance measures and will play a key role in supporting portfolio decision making and process development.
The Labelling Data Scientist is also a critical contributor to discussions around data architecture and standards led by Information Management (IM) and Digital.
The Data Scientist interprets and analyses data to provide innovative solutions to problems, designs Datamodelling processes to create algorithms and predictive models or performs custom analysis as required. The Labelling Data Scientist will support and/or lead initiatives relating to machine learning and artificial intelligence, representing GRA in discussions with Information Management and Digital.
The Labelling Data Scientist will be responsible for effective compliance monitoring and support time-critical provision of analysis of labelling data.
The role also acts as a key interface with IM providing SME for system requirements and data quality. In addition, you will be expected to lead or participate in imitative to improve efficiencies.
JOB RESPONSIBILITIES
Proactively identify and extract valuable data from multiple sources and automate collection processes
Participant in data governance committees
Undertake pre-processing of structured and unstructured data
Sift and analyse data from multiple angles, looking for trends that highlight problems or opportunities
Builds and implements predictive models and machine-learning algorithms
Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems
Maintain effective relationships with other platform lines and Business Units enabling facilitation of effective portfolio delivery
Present information using data visualization techniques
Become a subject matter expert in 1-2 digital. Automation skillsets (eg functionality mapping, predictive analysis)
Create awareness by working across functions to share and learn about best practices.
Lead or participate in ILG and or GRO technology initiatives
Developing best suited data models and algorithms in collaboration with Information Management and Digital partners
Assessing the effectiveness of the data model with the ability to select the right technique of data gathering.
Champions data quality across systems and leads periodic data reviews and data optimization
Point of contact for labelling compliance data.
Takes appropriate risks to advance new concepts and methodologies for the design and optimization of data analytic projects.
Use modelling to create the optimized customer experience.
QUALIFICATIONS/SKILLS
Proven experience as a Data Scientist or Data Analyst
Proficient in existing digital tools and processes (eg Power Automate)
Connective thinker, able to challenge and suggest optimization through data and insights.
Experience in small to medium scale digital projects.
A working knowledge of software programming
Experience in data mining and analysing
Understanding of machine-learning and operations research
Experience using Business Intelligence tools and data frameworks
Analytical mind and business acumen
Strong math skills (eg statistics, algebra)
Problem-solving aptitude
Ability to be flexible, adapt to change work independently, as well as part of a team in a Matrix environment.
BSc/BA in Computer Science, or relevant field; graduate degree in Data Science or another quantitative field is preferred
Candidates must be eligible t work in the UK
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Infrastructure, Life Sciences, Mining, Automotive and Chemicals sectors worldwide.With more than 100 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
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Essential:- Experience of working within Labelling. Data Architecture. Datamodelling to create Algorithms and predictive models. Data Lakes.
JOB SUMMARY
The Labelling Data Scientist is responsible for addressing critical data-related business problems by creating strategies, to analyse, connect and draw conclusions from clients systems, data lakes and external sources using robust data science techniques. Working with Business subject matter experts, the role will be familiar with labelling standards and compliance measures and will play a key role in supporting portfolio decision making and process development.
The Labelling Data Scientist is also a critical contributor to discussions around data architecture and standards led by Information Management (IM) and Digital.
The Data Scientist interprets and analyses data to provide innovative solutions to problems, designs Datamodelling processes to create algorithms and predictive models or performs custom analysis as required. The Labelling Data Scientist will support and/or lead initiatives relating to machine learning and artificial intelligence, representing GRA in discussions with Information Management and Digital.
The Labelling Data Scientist will be responsible for effective compliance monitoring and support time-critical provision of analysis of labelling data.
The role also acts as a key interface with IM providing SME for system requirements and data quality. In addition, you will be expected to lead or participate in imitative to improve efficiencies.
JOB RESPONSIBILITIES
Proactively identify and extract valuable data from multiple sources and automate collection processes
Participant in data governance committees
Undertake pre-processing of structured and unstructured data
Sift and analyse data from multiple angles, looking for trends that highlight problems or opportunities
Builds and implements predictive models and machine-learning algorithms
Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems
Maintain effective relationships with other platform lines and Business Units enabling facilitation of effective portfolio delivery
Present information using data visualization techniques
Become a subject matter expert in 1-2 digital. Automation skillsets (eg functionality mapping, predictive analysis)
Create awareness by working across functions to share and learn about best practices.
Lead or participate in ILG and or GRO technology initiatives
Developing best suited data models and algorithms in collaboration with Information Management and Digital partners
Assessing the effectiveness of the data model with the ability to select the right technique of data gathering.
Champions data quality across systems and leads periodic data reviews and data optimization
Point of contact for labelling compliance data.
Takes appropriate risks to advance new concepts and methodologies for the design and optimization of data analytic projects.
Use modelling to create the optimized customer experience.
QUALIFICATIONS/SKILLS
Proven experience as a Data Scientist or Data Analyst
Proficient in existing digital tools and processes (eg Power Automate)
Connective thinker, able to challenge and suggest optimization through data and insights.
Experience in small to medium scale digital projects.
A working knowledge of software programming
Experience in data mining and analysing
Understanding of machine-learning and operations research
Experience using Business Intelligence tools and data frameworks
Analytical mind and business acumen
Strong math skills (eg statistics, algebra)
Problem-solving aptitude
Ability to be flexible, adapt to change work independently, as well as part of a team in a Matrix environment.
BSc/BA in Computer Science, or relevant field; graduate degree in Data Science or another quantitative field is preferred
Candidates must be eligible t work in the UK
With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Infrastructure, Life Sciences, Mining, Automotive and Chemicals sectors worldwide.With more than 100 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
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