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Data Science Manager
Location: London Career Level: Manager
About Accenture
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology, and operations—with digital capabilities across all domains. With a culture of innovation, they combine industry expertise, diverse skill sets, and next-generation technology to solve complex business challenges.
Our Values & Inclusion
Our core values guide our work—Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Accenture is globally recognized not only for performance but for commitment to inclusion and diversity. Join a culture where everyone prioritises impact across clients and communities.
“Across the globe, one thing is universally true of the people at Accenture: We care deeply about what we do and the impact we have.” – Julie Sweet, CEO
The Team & Opportunity
The Data & AI revolution is reshaping industries worldwide. Accenture drives transformation across 40 industries in over 120 countries. Our Data & AI practice spans:
- Strategy & Data Science
- Data Architecture
- AI Engineering
- Visual Insights
By blending these with broader Strategy & Consulting, we deliver: ✔ End-to-end business change through Data & AI ✔ A culture of innovation, shared success, and boundaryless career growth
This role offers: 🔹 Cutting-edge technology experience 🔹 Global collaboration with industry leaders 🔹 Continuous learning in an innovation-centric environment
The Role: Data Science Manager
Key Responsibilities
You will:
- Lead & inspire teams of Data Scientists to deliver high-impact solutions
- Develop machine learning models to solve real-world business problems using:
- Deep Learning
- Quantum Analytics
- Translate business requirements into data-driven strategies and technical solutions
- Conduct discovery analytics to uncover new opportunities for clients
- Collaborate with developers, engineers, and stakeholders to deploy and scale AI/ML models
- Create reusable frameworks, best practices, and enterprise-level assets
- Guide analytical decisions, influencing client team strategies and directions
- Communicate insights to senior leaders and recommend data science strategies
- Contribute technical expertise to new business sales pipelines
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Complexity & Impact
- Work with global brands and household names (eliminate the need to explain tech to family!)
- Become an integral part of the Applied Intelligence team, trusted by clients for credibility and expertise
Requirements & Skills
Core Experience
Required: ✅ Materialspecialist in data science, machine learning, or business analytics ✅ Practical coding proficiency (Python preferred) + strong SQL, ETL, or computational skills ✅ Proficiency in data architecture (SQL, ETL, NoSQL, DW, Big Data technologies: PySpark, Hive) ✅ Handling unstructured data (e.g., text, PDFs, audio/video bytes call recordings) ✅ Electoretical machine learning models (e.g., XGBoost, Deep Neural Networks, Transformers) ✅ Holistic ML library expertise (e.g., Fastai, Keras, TensorFlow, PyTorch, Hugging Face, Scikit-learn) ✅ Cloud technologies (AWS/Azure/GCP) for project deployments ✅ Strong visualisation (e.g., D3.js, ggplot, Tableau)
Behavioral & Technical Mindset
🔸 Leading projects end-to-end and ensuring completion 🔸 Problem-solving and strategy execution 🔹 A rigorously scientific or mathematical background


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What’s in It for You
Compensation & Benefits
📌 Competitive salary + a generous benefits package, including:
- 30 days’ paid leave per year
- Gym subscription support
- Private medical insurance
- 3 paid days annually for charitable work of your choice
🔺 Flexibility and Global Mobility: Roll-on legal requirements due to onsite client engagements.
About Accenture
Accenture is a leading global digital services and technology solutions firm with 509,000+ professionals operating in 120+ countries. Solving some of the world’s toughest challenges through talent, innovation, and partnerships across multiple industries.
Equal Opportunity Statement
Accenture is proud to be an equal opportunity employer, welcoming people from diverse backgrounds. Highlights include no discrimination based on:
- Race, religion, gender, sexual orientation,
- Age, disability, citizenship status,
- Marital, partnership, or veteran status.
Our global appeal is woven into our inclusive culture, generating innovation and competitive advantage.
Unleash your potential in a space where: 🌍 Global career advantages await. 🔧 Technology and human ingenuity drive change. 💼 Join a force big enough to inspire you and others for upward mobility.
Why choose #CareersAtAccenture? 🛈 Explore individual purpose and impact. 🚀 Work alongside exceptional minds tackling the world’s biggest challenges.
Join us!
For more about Accenture: www.accenture.com
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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