Data Science Manager - Marketing & Customer

Hackajob Ltd; Greater London; Hybrid; GBP 61,000 - 101,000; Full time

Benefits offered by this job

Annual performance bonus

Equity opportunities

Health and wellbeing benefits

30 days leave + 3 volunteering days

Flexible work policies

Pension plan

Private healthcare insurance

Mental wellbeing support

Employee Assistance Programme

Career development & counselling

Parental leave offerings

Job summary

Accenture Song in London or Manchester seeks a senior AI and data strategist to translate business needs into robust data solutions, owning data strategy, architecture, and engineering excellence. You will drive generative AI initiatives, evaluate proposals for feasibility and stack compatibility, and collaborate with senior architects and cloud teams to deliver production-ready AI solutions.

You will mentor others in the Applied Intelligence practice and shape measurable business value for

Qualifications

• Experience translating business needs into robust data solutions with ownership of data strategy, architecture, and engineering.
• Expertise in generative AI, LLM-based solutions, data science, and machine learning methods.
• Familiarity with cloud platforms (AWS, Azure, GCP) for scalable model deployment.
• Experience assessing AI proposals for feasibility, stack compatibility, and build-vs-buy decisions.
• Strong communication to guide senior client leadership and internal teams; mentoring experience.

Responsibilities

• Shape customer and marketing experiences using generative AI solutions.
• Build data platforms, products, and capabilities that empower clients and colleagues.
• Set and implement the strategic vision for the data ecosystem, including data science and engineering.
• Assess generative AI proposals for client needs, feasibility, and stack compatibility.
• Collaborate with digital teams, senior architects, and stakeholders to design AI solutions.
• Drive production deployment and deliver measurable business value.
• Design reusable assets, solutions, and best practices for future problems.
• Consult on complex analyses and advanced ML methods.
• Shape AI strategy and oversee delivery of LLM-based solutions.
• Architect early-stage AI initiatives and direct PoC/prototype development.
• Act as SME on generative AI and guide cross-functional teams.
• Execute deployment strategies and provide guidance on containerization and monitoring.
• Collaborate with cloud vendors to embed Responsible AI principles.
• Evaluate AI solutions across teams and identify technical risks.
• Advocate for cutting-edge data technologies and automated data integration.
• Communicate insights and provide strategic guidance to senior leadership and internal teams.
• Mentor and develop others within the Applied Intelligence practice.

Skills

Generative AI

LLM solutions

Data science

Machine learning

Data architecture

Cloud platforms

Cross-industry experience

Communication skills

Mentoring

Tools

AWS

Azure

GCP

Containerization

Monitoring & deployment

Job description

Salary: £61,000 - 101,000 per year

Requirements:

• We need someone with sufficient fluency in at least one of the Marketing, Commerce, Service, or Sales domains to credibly advise clients and collaborate with practice leads.
• We are looking for experience translating business needs into robust data solutions, with ownership of data strategy, architecture, and engineering excellence.
• We need expertise in generative AI, LLM-based solutions, data science, and machine learning methods.
• We value experience assessing generative AI proposals, including feasibility, stack compatibility, and build-vs-buy decisions.
• We need familiarity with cloud platforms such as AWS, Azure, and GCP for scalable model deployment.
• We are looking for experience with containerization, performance monitoring, and production deployment.
• We value the ability to work across multiple industries and business functions.
• We need strong communication skills to guide senior client leadership and internal teams.
• We value experience mentoring and developing others within a wider practice.

Responsibilities:

• We shape customer and marketing experiences using generative AI solutions.
• We build essential data platforms, products, and capabilities that empower clients and colleagues.
• We set and implement the strategic vision for our data ecosystem, including data science and engineering.
• We assess generative AI proposals and evaluate alignment with client needs, feasibility, stack compatibility, and build-vs-buy decisions.
• We work collaboratively with digital teams, senior architects, and stakeholders to design comprehensive AI solutions.
• We drive and implement real-world solutions into production that deliver measurable business value.
• We design reusable assets, solutions, and best practices for current and future business problems.
• We consult on complex analyses and advanced machine learning methods.
• We shape AI strategy and oversee the delivery of LLM-based solutions.
• We architect early-stage generative AI initiatives and direct proof-of-concept and prototype development.
• We act as subject matter experts on generative AI and provide guidance to cross-functional teams.
• We execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment.
• We collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications.
• We evaluate generative AI solutions across teams and identify technical risks such as debt accumulation and overlapping initiatives.
• We advocate for cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration.
• We communicate insights and provide strategic guidance to senior client leadership and internal teams.
• We mentor and develop others by sharing our expertise with the wider Applied Intelligence practice.

Technologies:

• AI
• AWS
• Architect
• Azure
• Cloud
• GCP
• Support
• LLM
• Machine Learning
• Marketing
• Network

More:

We are Accenture Song, helping clients accelerate growth and value through customer relevance, and our Data and AI practice operates across more than 40 industries in over 120 countries. This role sits at the intersection of marketing, commerce, service, sales, and AI, with opportunities to work on cutting-edge technologies, global client engagements, and production-grade solutions that create measurable business value. We offer a competitive total rewards package including salary, annual performance bonus, equity opportunities, health and wellbeing benefits, 30 days of leave plus 3 volunteering days, family-friendly and flexible work policies, an attractive pension plan, private healthcare insurance, mental wellbeing support, an Employee Assistance Programme, career development and counselling, and generous parental leave offerings. We are based in London or Manchester and provide access to world‑class training, a global network of experts, and structured career development in an innovative, collaborative environment.

last updated 40 week of 2026