Senior Consultant - Data Science (Customer Data) Job at frog (London)

Managing Consultant - Data Science (Customer Data)

Join our frog data team and help shape the future of data and AI consulting. We ...

Location

United Kingdom , London

Salary:

Not provided

frog

Expiration Date

Until further notice

Requirements

Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases
Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models
Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience
Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty
Skilled in using programming languages such as Python
Knowledge of cloud platforms and tools for data science and machine learning
Utilise visualisation tools such as Power BI or Tableau to present data insights effectively
Experience leading cross-functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions
Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation
Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities

What we offer

Positive work-life balance
Hybrid working
Flexible working arrangements
Employee wellbeing support
Trained ‘Mental Health Champions’
Access to wellbeing apps such as Thrive and Peppy
Remuneration package which includes flexible benefits options
Variable element dependent grade and on company and personal performance

Senior Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years
Data Architecture & Platform Engineering
AI-First Delivery
Engineering Excellence & DataOps
AI / ML & Intelligent Systems
Innovation & Technical Thought Leadership
Team Leadership & Mentorship
Soft Skills & Mindset

Job Responsibility

Lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes
Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, compliant, and aligned to business objectives, architectural best practices, and Microsoft reference architectures
Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies while meeting quality, time, and cost constraints
Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital (IP) with customers, world-wide, and programs and initiatives across Microsoft
Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
Collaborates, as appropriate, with peers and cross-functional teams to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions for strategic Microsoft products and services
Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML-powered data solutions
Continuously upskill self to become strong Full stack data engineer, inspire their team as much, to be able to build future-ready skills, collaborate with other specialist teams, product teams, and customers to co-create innovative solutions and help the customers tackle some of their biggest challenges
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities

Fulltime

Senior Consultant Data

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Knowledge of solution design, planning, development and deployment of complex solutions
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics
Experience/knowledge of one or more SQL and NoSQL database systems
Hands-on experience building AI-powered data pipelines using ETL/ELT tools like: Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow
Exposure to data migrations, platform upgrades, and modernization efforts
Understanding of multitenant data platform designs, basic security hardening, and access control concepts

Job Responsibility

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies
Contributes to the overall efficacy and quality of a project team's technical delivery within assigned engagements
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
Align with innovation and digital transformation initiatives
Responsible for implementing the technology strategy with support from Senior peers
Applies information-compliance and assurance policies to ensure stakeholder confidence
Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities

Fulltime

Azure Data Engineer- Senior Consultant

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous
Minimum of 9+ years of experience in data engineering or a related field
Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment
Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management
Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies

Job Responsibility

Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies
Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards
Collaborate with stakeholders to understand project requirements, define scope, and create project plans
Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
Monitor progress, identify risks, and implement mitigation strategies
Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders
Ensure data solutions are scalable, efficient, and aligned with business requirements
Provide guidance in areas such as data modeling, database design, and data integration
Align coding standards, conduct code reviews to ensure proper code quality level
Identify and introduce quality assurance processes for data pipelines and workflows

What we offer

Stable employment
100% remote
Flexibility regarding working hours
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Grow as we grow as a company
A diverse, inclusive, and values-driven community

Fulltime

Senior Consultant A2 - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years
One or more of the following certifications, or other industry equivalent ones, is a plus: Microsoft Certified: Fabric Analytics Engineer Associate (DP600)
Microsoft Certified: Azure AI Engineer Associate (AI102)
Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Areas of Expertise: Data Architecture & Platform Engineering
AI-First Delivery
Engineering Excellence & DataOps
AI / ML & Intelligent Systems

Job Responsibility

Lead technical delivery of complex, cloud native and AI enabled engagements
Define and drive the technology strategy for large and complex customer engagements
Design, develop, and deploy solutions on Microsoft Azure
Identifies the best practice approach for a project
Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Collaborates, as appropriate, with peers and cross-functional teams to scale the business
Drives AI-First data engineering principles and mindset in the team
Continuously upskill self to become strong Full stack data engineer
Drives new ways of thinking, across the division and subsidiary
Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production-ready solutions

Fulltime

Data Engineer – Senior Consultant

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

A Bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required
Additional certifications in cloud are advantageous
Minimum of 8 years of experience in data engineering or a related field
Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment
Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management

Job Responsibility

Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies
Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards
Collaborate with stakeholders to understand project requirements, define scope, and create project plans
Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
Monitor progress, identify risks, and implement mitigation strategies
Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders
Ensure data solutions are scalable, efficient, and aligned with business requirements
Provide guidance in areas such as data modeling, database design, and data integration
Align coding standards, conduct code reviews to ensure proper code quality level
Identify and introduce quality assurance processes for data pipelines and workflows

What we offer

Stable employment
100% remote
Flexibility regarding working hours
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Grow as we grow as a company
A diverse, inclusive, and values-driven community

Fulltime

SAP ABAP Data Migration Senior Consultant

The Senior SAP ABAP Data Migration Consultant will be responsible for leading da...

Location

Malaysia , Cyberjaya

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Systems, or related field
Proficiency in ABAP programming for data extraction, BAPIs, IDocs, and file handling
Hands-on experience with one or more tools: SAP Migration Cockpit (LTMC/LTMOM), Legacy System Migration Workbench (LSMW), SAP Data Services (BODS)
Good understanding of SAP data structures across core modules (FI, CO, MM, SD, PP, etc.)
Strong analytical and problem-solving skills with attention to detail
Effective communication and collaboration abilities in cross-functional teams
Passion for quality and demonstrated high standards of service delivery
Strong issues resolution experience with excellent analytical, conceptual, troubleshooting and problem-solving skills
Enthusiastic about learning new technologies, with flexibility to quickly adapt to rapidly changing cultural and business environments with a strong desire to excel
Outstanding interpersonal and collaboration skills

Job Responsibility

Participate in defining the data migration strategy, scope, and approach for various migration objects
Analyze source data models and identify master and transactional data to be migrated
Develop and maintain data extraction, transformation, and load (ETL) processes using standard SAP tools such as SAP Migration Cockpit, LSMW, or BODS, and custom ABAP programs where needed
Perform data validation, reconciliation, and quality checks to ensure accurate migration results
Coordinate with functional consultants to understand business rules and mapping requirements
Document migration procedures, test results, and lessons learned
Provide post-migration support and assist in resolving data-related issues

What we offer

Team-oriented corporate culture, collaboration as equals and steady knowledge transfer
Diversity & Inclusion (e.g. various initiatives & communities)
Flexible working hours e.g., hybrid working based on teams plan
Inhouse Academy with a variety of professional technical training, soft skills training, SAP Learning Hub, and certification opportunities
Company health management (e.g., Medical Insurance, Health Insurance, Optical and Dental Benefits)
Wide range of events (team events, employee parties, internal sports tournaments)

Fulltime

Senior DevOps Engineer Customer Data Hub

The agile Release Train of the Customer Data Hub is responsible for the developm...

Location

Germany , Düsseldorf

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

A completed degree in engineering, computer science, business engineering or a comparable qualification
At least 8 years of experience operating complex system landscapes, ideally with a focus on K2View and Kafka platforms on AWS
Strong hands-on expertise in DevOps and automation tools (Jenkins / GitHub Actions, Git, Docker, Kubernetes, Terraform)
Solid experience with ITIL processes as well as monitoring and analytics tools (Grafana, Dynatrace, Datadog)
Outstanding problem-solving skills and proven experience in the strategic evolution of incident, problem and change management in productive K2View Fabric environments
Deep process and IT know-how in the telecommunications domain
Strong strategic and entrepreneurial mindset, with the ability to assess technical decisions in a business context
High consulting competence and confidence in communicating with management, business stakeholders and external partners in international, agile teams
Resilience and willingness to take responsibility, even in critical situations
Experience in functional leadership, coaching and steering international teams and suppliers

Job Responsibility

You develop and own the strategy for operating, deploying, initial loading and automating the Customer Data Hub platform in close collaboration with business, architecture and management
You ensure the end-to-end availability, scalability and security of the system and are responsible for sustainable operating models
You coordinate and drive the independent, targeted resolution of highly complex incidents and troubleshooting on the K2View platform in collaboration with internal development teams, external vendors and shared service centers (TSSC), and identify improvement potential to prevent recurrence
You evaluate new technologies and architectures within your scope (e.g. monitoring solutions, K2View applications, AWS) and make well-founded decisions on their adoption
You ensure compliance with defined security policies for the applications, systems and platforms you are responsible for, including access analysis and corrective actions
You coach colleagues and external partners, and shape standards, best practices and operational processes within a DevSecOps environment

What we offer

Flexibility: In coordination with your team and manager, you decide which days you work in the office and from home. You can also work up to 20 days per year from other EU countries as well as from an increasing number of non-EU countries
Attractive compensation and pension plan: As a collective-agreement employee, depending on the remuneration model, you receive holiday and Christmas bonuses or a 13th monthly salary. Our pension plan also provides you with an occupational retirement scheme
Further development: You decide which of our learning and training programs best support your individual development
Work-life balance: Whether childcare, health and mindfulness programs, or fitness studios – you can flexibly shape your professional and private life. We support you, including when caring for relatives
Discounts and additional benefits: As an employee, you receive special offers on all our mobile, fixed-line, internet, and TV products

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Senior Consultant - Data Science (Customer Data)

Job Description

Requirements

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