Remote Jobs in the UK

Data Mining

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🔥 Enterprise Data Architect

Posted about 9 hours ago

📍 GBR

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

🔧 Requirements

Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
Experience of working with industry standard data models and extending those models to support business requirements.
Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
Experience of data designing and implementing data security policies and regulatory compliance.
Experience of defining and implementing governance processes for data management.
Experience of working with external standards organisations.
Experience of working with TOGAF framework.

💡 Responsibilities

Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
Define, document and maintain business value chain for enterprise data.
Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
Work with external 3rd party standards bodies to define and maintain global messaging standards.
Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
Work with Security Architects to define and agree on data security classifications for data defined in data models.
Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.

SQL Business Intelligence Cloud Computing Data Mining ETL API testing Data engineering REST API Microservices Data visualization Stakeholder management Data modeling Data analytics Data management

Posted about 9 hours ago

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🔥 Data Analyst - Canada Wide - Remote

Posted about 13 hours ago

📍 Canada

🔧 Requirements

Proficiency in SQL, Python and Excel
Experience in using analytics to effectively drive strategic and operational decision making
Able to work independently
Strong attention to detail and accuracy
Excellent communication and interpersonal skills

💡 Responsibilities

Identifying key metrics and building standardized reports to track business performance
Investigate and resolve data inconsistencies and irregularities
Aggregating and analyzing data across departments to uncover trends and patterns
Performing investigative analysis on large/diverse datasets
Assisting with analyzing results of experiments/pilots, new methods, data sources, and making actionable recommendations
Leading analytics on projects of varying sizes and complexity. This includes report automation, data visualization, gathering and documenting tool implementation requirements, split testing, and conducting ad hoc analysis and data mining.
Managing and delivering on business research initiatives
Collaborating with cross-functional teams to resolve data discrepancies and address inquiries efficiently

Python SQL Data Analysis Data Mining Analytical Skills Reporting Data visualization

Posted about 13 hours ago

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🔥 Sales Compensation Reporting & Analytics Manager

Posted about 13 hours ago

📍 US

💸 121400.0 - 151700.0 USD per year

🔍 Software / Technology

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

3+ years of experience in Sales Compensation in Software / Technology industry
5+ years of professional experience in a Tableau dashboard development (Tableau Desktop and Online)
Process oriented: capable of developing high level analysis of data integrity issues
Intimate understanding of sales incentive programs
Excellence in structuring complex problems, developing solutions, and crafting recommendations concisely and effectively

💡 Responsibilities

Translate complex data into actionable insights through the development of intuitive dashboards, reports, and visual storytelling that supports strategic business decisions.
Retrieve, manipulate, analyze, and present data using effective data visualization techniques.
Apply advanced SQL and ETL skills, leveraging Salesforce and Presto, Heroku or other data warehousing tools to support data mining and reporting
Use your proficiency in MS Excel, including Pivot Tables, VLookup, and other advanced functions, to support analysis and reporting needs.
Utilize your expertise in Salesforce and its reporting capabilities to design custom reports, build dashboards, and optimize data flows for accurate business insights.
Execute technical tasks such as rule writing, development, troubleshooting, results analysis, process improvement, and validation.
Maintain a strong customer focus and apply sound business acumen to effectively balance technical and business priorities.

SQL Data Mining ETL Salesforce Tableau Reporting Data visualization

Posted about 13 hours ago

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🔥 Specialized Talent Sourcer - Polish Speaker

Posted about 15 hours ago

📍 Poland

🔧 Requirements

3 years’ experience in sourcing or recruiting is required.
Solid sourcing experience in a certain industry (or industries, markets) is required.
Deep understanding of Boolean strings required.
Proficiency in using specialized sourcing techniques, such as X-Ray, Advanced Boolean, data mining, extensions, and aggregators etc.
Excellent communication and interpersonal skills
Strong research and market analysis skills
Ability to handle candidate data with accuracy, confidentiality, and compliance with data protection regulations.
Capability to manage multiple sourcing tasks and priorities efficiently, meeting deadlines and handling niche recruitment requirements.
Aptitude to address sourcing challenges creatively, finding innovative solutions to attract specialized talent.
Continuous learning about industry trends, sourcing best practices, and emerging technologies.
Strong focus on achieving sourcing targets

💡 Responsibilities

Collaborating closely with recruiters and hiring managers to understand the unique job requirements and effectively align sourcing efforts with the organization’s goals.
Reviewing and posting attractive job adverts on specialized job boards to boost the interest from target candidates. Reviewing and processing applications on all platforms in a timely manner.
Utilizing various sourcing methods such as online platforms, social media, and networking to identify and connect with potential candidates who possess the specific skills and qualifications required for niche positions.
Implementing traditional, creative, and targeted candidate attraction strategies, such as mobile and email campaigns, cold calling, utilization of recruitment marketing, etc. to cultivate and grow talent communities for current and future hiring needs, ensuring a steady and engaged pipeline of specialized talent is always available.
Engaging with potential candidates through personalized outreach, networking events, and communication channels to establish rapport and interest in job opportunities.
Conducting and presenting thorough and regular market research to understand industry trends, salary benchmarks, and talent availability, which helps in planning effective sourcing and hiring strategies.
Pre-screening candidates to assess their qualifications, experience, and cultural fit before presenting them to the hiring team.
Sharing market and candidate insights to business hiring groups, while consulting them on sourcing and hiring strategies.
Actively promoting the employer brand to potential candidates, highlighting the company’s strengths in the specific industry, and opportunities for career growth.
Ensuring accurate and up-to-date records of candidate interactions and sourcing activities, using applicant tracking systems (ATS) and other available tools.
Staying updated with industry best practices, sourcing tools and techniques to continually improve the effectiveness of talent sourcing strategies.
Fostering diversity and inclusion by sourcing candidates from diverse backgrounds and underrepresented groups, contributing to a more inclusive workforce.
Identifying areas for process improvement within the talent sourcing function and suggesting innovative ways to enhance recruitment efficiency.

Data Mining Communication Skills Recruitment Market Research

Posted about 15 hours ago

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🔥 Senior Analyst, Customer Experience

Posted about 17 hours ago

📍 United States of America

🏢 Company: asurioncareers_us

🔧 Requirements

Experience in data analysis, Business Intelligence, data modelling, data architecture or related to customer experience, marketing, or adjacent field.
Knowledge of Microsoft Office Applications (Excel, PowerPoint, PowerBI, Word) at the advanced level preferred
Required experience/knowledge with BI tools including SQL, PowerBI, or similar used to construct visualizations and perform data analysis.
Certification(s) in Business Intelligence, data modelling, or data visualization is a plus.

💡 Responsibilities

Connect and generate analysis from customer and operational data sources.
Create BI solutions to provide self-service access for CX and stakeholders.
Tell a compelling story by packaging data for CX and other stakeholders.
Query and connect operational and experience data sources to create a holistic view of the customers.
Investigate and determine root causes of customer experience pain points.
Act as a CX and operational data SME.
Build partnerships within the CX Team, Marketing, and Analytics.
Manage multiple projects.

SQL Business Intelligence Data Analysis Data Mining ETL Microsoft Power BI Tableau Data engineering Communication Skills Analytical Skills Problem Solving RESTful APIs Written communication Data visualization Data modeling Data analytics Data management Customer support Customer Success PowerPoint

Posted about 17 hours ago

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🔥 Workday Data Principal Consultant

Posted about 20 hours ago

📍 United Kingdom

🏢 Company: allopenings

🔧 Requirements

Bachelor’s degree or equivalent experience in Information Technology, MIS, or related field
2-5 years ERP Data Conversion or HCM implementation experience
2-5 years Workday HCM experience highly desired
Security Clearance highly desired
Experience with data conversion, data mining, and data loading
Advanced experience of Excel
Strong analytical and problem-solving skills
Strong communication and presentation skills
Ability to work well individually as well as in a team environment

💡 Responsibilities

Become a Workday HCM and Data expert with knowledge of design, configuration, testing, and implementation
Partner closely with your team and customers to achieve excellence in each phase of your projects
Learn to use the Workday tools of iLoad, EIB, Object Transporter, Advanced Load, and Migration Recipe to do tenant to tenant migrations
Design and generate data tracking and monitoring tools, and develop reports with accurate, easy to read, useful information
Utilize your technical aptitude to convert and map data sources into data conversion templates via iLoads
Guide clients through the data extract and cleansing process, including loading customer data, moving configuration from tenant to tenant, and configuring business processes and security
Create ETL scripts to transform and load data, and create strategies to improve and normalize client data
Support the validation of data loaded into Workday
Regularly engage and support the client through all phases of the project, ensuring a smooth transfer from legacy systems to the Workday HCM solution
Perform multiple tasks under limited direction, while regularly keeping the client, your project team and your Engagement Manager abreast of changes or progress related to the project
Actively participate in update training and internal opportunities to share one’s skills and learnings with others within the organization

SQL Data Mining ETL Microsoft Excel

Posted about 20 hours ago

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🔥 Product Manager

Posted about 21 hours ago

📍 Mexico, Argentina, Brazil, Colombia, USA

🔍 Fintech, Crypto

🏢 Company: Bitso

🔧 Requirements

3+ years of product management experience, with a strong focus on user onboarding, activation, or conversion funnels, ideally within a fintech, crypto, or other high-growth tech environment.
Demonstrated experience operating in a data-intensive environment.
Strong analytical skills with a knack for identifying problems, breaking them down, and finding practical solutions.
Excellent communication and stakeholder management skills.
A proactive and ownership-driven mindset.
Fluent in English (Spanish is a plus).

💡 Responsibilities

Define, prioritize, and execute the end-to-end product roadmap for the retail user onboarding journey across Mexico, Argentina, Brazil, and Colombia. This includes account creation, initial funding, and first transaction flows.
Analyze user behavior data, identify friction points in the onboarding funnel, and implement solutions to increase conversion rates from sign-up to activated user (e.g., first deposit, first trade).
Champion a consistently delightful and frictionless onboarding experience for our diverse user base, making it simple, intuitive, and secure for newcomers to access Bitso's offerings.
Discover and test new solutions and technologies to streamline user identification and reduce barriers to entry, balancing user experience with necessary controls.
Work closely with specialized internal teams (e.g. fraud prevention, compliance and KYC operations) to integrate essential security measures and controls into the onboarding flow, ensuring a secure and compliant journey while minimizing impact on user friction.
Utilize deep data analysis to identify trends, measure the impact of product changes, and uncover opportunities for optimization within the onboarding funnel. This is a data-heavy role where insights drive decisions.
Partner seamlessly with Engineering, Design, Data Science, Operations (KYC Ops, Payments Ops, Customer Support), and Compliance stakeholders to ensure a cohesive and effective onboarding strategy.
Embrace a fast-paced environment, making informed decisions with incomplete information and prioritizing shipping small, impactful changes quickly to test in the market and iterate.

Data Analysis Data Mining Product Management User Experience Design Product Analytics Communication Skills Analytical Skills RESTful APIs Data visualization Stakeholder management Data analytics A/B testing

Posted about 21 hours ago

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🔥 Data Scientist (Remote)

Posted about 21 hours ago

📍 United States

🧭 Full-Time

🔍 FinTech

🔧 Requirements

Experience with R, Python, and machine learning tools
Evidence of applying advanced models to real-world problems
Advanced knowledge of SQL

💡 Responsibilities

Build, maintain, and improve decision systems and predictive models
Explore new data sources
Design and implement in-market experiments

Python SQL Agile Data Mining Git Machine Learning Algorithms Data science Communication Skills Analytical Skills DevOps Data modeling

Posted about 21 hours ago

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🔥 Enterprise Data Architect

Posted 1 day ago

📍 United Kingdom

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

🔧 Requirements

Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
Experience of working with industry standard data models and extending those models to support business requirements.
Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
Experience of data designing and implementing data security policies and regulatory compliance.
Experience of defining and implementing governance processes for data management.
Experience of working with external standards organisations.
Experience of working with TOGAF framework.

💡 Responsibilities

Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
Define, document and maintain business value chain for enterprise data.
Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
Work with external 3rd party standards bodies to define and maintain global messaging standards.
Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
Work with Security Architects to define and agree on data security classifications for data defined in data models.
Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.

SQL Business Intelligence Data Mining ETL Algorithms API testing Data engineering Data Structures RDBMS RESTful APIs Microservices Data visualization Stakeholder management Data modeling Data analytics Data management

Posted 1 day ago

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🔥 Principal Engineer - Behaviors

Posted 2 days ago

📍 United States

💸 136500.0 - 266500.0 USD per year

🔍 Software Development

🔧 Requirements

BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
In-depth understanding of common Machine Learning, Deep Learning algorithms, or ML Planning
Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Fluency in Python, including standard scientific computing libraries and Python bindings development experience
Experience with PyTorch or other deep learning frameworks
Experience working with large data sets and deriving insights from data
Effectiveness at leading and executing large, complex technical initiatives
Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

💡 Responsibilities

Define and influence the direction of the team, organization, and/or department.
Advise leaders on technology problems and solutions
Connect and drive business impact through technology solutions
Formulate problems, architect solutions, and design processes
Prototype, evaluate, implement, and iterate on solutions
Pioneer research into state of the art solutions and systems for autonomous vehicles
Productionize and deploy solutions onto autonomous vehicle fleets
Mentor and grow junior and experienced engineers and researchers
Help create and reinforce a culture of inclusion, innovation, and excellence

Python Software Development Data Analysis Data Mining Image Processing Machine Learning MLFlow Numpy OpenCV PyTorch C++Algorithms Tensorflow Software Engineering

Posted 2 days ago

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