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

Senior 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
Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions
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
Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
People management skills, including mentoring, guiding, and developing junior team members

What we offer

Flexible working arrangements
Positive work-life balance
Hybrid working
Mental health support via trained 'Mental Health Champions'
Access to wellbeing apps such as Thrive and Peppy
Flexible benefits options
Variable compensation dependent on grade and on company and personal performance

Customer Data Analytics Managing Consultant

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

Skilled manager with experience working in a consultancy or agency environment, supporting clients through guiding them on how to address their challenges using data, analytics and AI
CX Data Expertise – A subject matter expert in one (or more) of the following areas: data driven marketing, marketing/media measurement, customer/ consumer research, digital journey optimisation, personalisation, MarTech, CRM / loyalty analytics, CDPs and AI applications within CX
Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively
Strong Delivery Leadership - Experience leading cross-functional teams to understand business challenges and create valuable products and/or solutions such as insight solutions (inc. BI reporting suites), MarTech / data driven CX solutions or ML/AL solutions (inc, predictive, forecasting, classification and deep learning models)
Project Management Excellence - Proven project management experience, including planning, execution, and successful delivery of Analytics and AI/ML POCs, MVPs and production-grade solutions
Commercial Acumen - 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
People Manager - People management skills, including mentoring, guiding, and developing team members
Excellent Communicator – Strong written communication, presentation and data driven storytelling skills, with the ability to communicate complex ideas clearly to senior client stakeholders
Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space

What we offer

flexible working arrangements
positive work-life balance
mental health support via trained ‘Mental Health Champions’
access to wellbeing apps such as Thrive and Peppy
flexible benefits options
variable element dependent on grade and on company and personal performance

Fulltime

New

Adobe Analytics & Customer Data Consultant

As part of our Data & AI team, you will help leading brands unlock the value of ...

Location

France , Paris

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

+6 years of experience in Digital Analytics, Customer Data, or Marketing Technology
Strong experience with Adobe Analytics
Experience designing measurement frameworks and tracking strategies
Strong understanding of digital customer journeys and marketing performance measurement
Experience working with web and mobile analytics implementations
Ability to translate business needs into data and analytics solutions
Strong stakeholder management and communication skills
Adobe Analytics certification
Experience working in consulting or digital transformation environments
Strong understanding of customer experience, personalization, and marketing technology ecosystems

Job Responsibility

Lead Analytics and customer data initiatives for major international clients
Design and implement measurement strategies, tracking plans, and data collection frameworks
Configure and optimize Adobe Analytics, Customer Journey Analytics (CJA)
Support audience creation, segmentation, and activation use cases
Contribute to Customer 360 and customer data platform (CDP) initiatives
Design and develop robust, scalable data pipelines
Translate business and marketing requirements into scalable data solutions
Collaborate with Data Engineering, AI, Personalization, and Customer Experience teams
Collaborate closely with Data Science, Analytics, AI, and Customer Experience teams
Support clients in leveraging customer data for personalization and AI-driven experiences

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Delivery Consultant- GenAI/ML & Data Science

The Amazon Web Services Professional Services (ProServe) team is seeking a skill...

Location

United States , Mountain View;San Diego;San Francisco;Seattle

Salary:

153600.00 - 239000.00 USD / Year

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

7+ years of technical specialist, design and architecture experience
5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
7+ years of consulting, design and implementation of serverless distributed solutions experience
5+ years of software development with object oriented language experience
3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
7+ years of external or internal customer facing, complex and large scale project management experience
5+ years of cloud architecture and solution implementation experience
Bachelor's degree, or 7+ years of professional or military experience
8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience

Job Responsibility

Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parental leave

Fulltime

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

Principal Consultant - Data & AI

The Principal Consultant is a senior leader responsible for the successful techn...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

20+ years of experience in software/solution engineering, with at least 3–5 years in delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
Areas of Expertise: Enterprise Data Architecture & Modern Platforms
Data Engineering & Large Scale Data Processing
Database Platforms, Performance & Capacity Engineering
RealTime Analytics & Operational Intelligence

Job Responsibility

AI-First Delivery Leadership
Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Lead end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes
Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
Engineering Excellence

Fulltime

Consultant - 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

4 - 6 years of experience
Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
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
Azure Databricks is a plus
Experience/knowledge of one or more SQL and NoSQL database systems

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. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
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

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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Managing Consultant - Data Science (Customer Data)

Job Description

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