At a Glance
- Tasks: Join our team to design and implement data-driven marketing solutions.
- Company: We're a leading digital transformation service provider expanding our Data Practice across Europe.
- Benefits: Enjoy perks like remote work, free lunches, medical insurance, and learning opportunities.
- Why this job: Make an impact with cutting-edge AI strategies in a dynamic, collaborative environment.
- Qualifications: Degree in Data Science or related field; 2+ years experience in data science/analytics required.
- Other info: Participate in exciting projects and stay updated on the latest AI/ML trends.
The predicted salary is between 36000 - 60000 £ per year.
As one of the worlds leading digital transformation service providers, we are looking to rapidly expand our Data Practice across Europe to meet increasing client demand for our Data Science and AI services. We are seeking a highly skilled and experienced Data Science Consultant to join our dynamic team. The ideal candidate will have a strong background in data science, analytics, IT consulting and experience in marketing-focused projects, preferably within a marketing agency or similar environment. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions and provide actionable insights that drive business value. Your ability to bring expertise in marketing analytics and marketing-related data science use cases will be a critical asset.
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Responsibilities
- Define and implement AI strategies focused on marketing and customer insights
- Design and deploy marketing-focused AI solutions (e.g. segmentation, recommendation engines, campaign optimization)
- Develop and operationalize ML models using MLOps best practices
- Monitor model performance, addressing explainability, data drift and bias
- Create measurement frameworks including MMM and MTA
- Support customer journey mapping, CLV prediction and churn analysis
- Communicate AI strategy and risks to senior marketing stakeholders
- Collaborate with legal teams on AI governance and EU regulatory compliance
- Contribute to pre-sales activities: demos, presentations and RFPs
- Stay up to date on AI/ML trends particularly in marketing applications
Requirements
- Degree in Data Science, Statistics, Computer Science, Marketing Analytics or related field; Ph.D. a plus
- 2+ years experience in data science/analytics ideally in consulting or marketing agency environments
- Hands-on experience with marketing-focused ML use cases (e.g. segmentation, campaign analytics)
- Proficiency in Python and familiarity with platforms like Azure, AWS, GCP, Databricks
- Knowledge of AI/ML tools used in marketing (e.g. HubSpot, Salesforce Marketing Cloud, Google Analytics)
- Understanding of MLOps and model deployment in marketing contexts
- Familiarity with LLM applications for personalization, chatbots and content generation
- Strong communication skills able to engage senior marketing and business stakeholders
- Awareness of AI ethics, bias mitigation and regulatory compliance in consumer-facing AI
- Experience with marketing metrics and ROI/CLV modeling; ad-tech experience is a plus
We offer
- EPAM Employee Stock Purchase Plan (ESPP)
- Protection benefits including life assurance, income protection and critical illness cover
- Private medical insurance and dental care
- Employee Assistance Program
- Competitive group pension plan
- Cyclescheme, Techscheme and season ticket loans
- Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- If otherwise eligible, participation in the discretionary annual bonus program
- If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
- *All benefits and perks are subject to certain eligibility requirements
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Data Science Consultant with Marketing Expertise employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant with Marketing Expertise
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to marketing. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data science and marketing fields. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the role and possibly refer you.
✨Tip Number 3
Prepare to discuss specific marketing-focused ML use cases you've worked on. Be ready to explain your thought process, the challenges you faced, and how your solutions drove business value.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data insights in a clear and engaging manner. This is crucial for interacting with senior marketing stakeholders and demonstrating your ability to translate data into actionable strategies.
We think you need these skills to ace Data Science Consultant with Marketing Expertise
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and marketing analytics. Focus on relevant projects where you've implemented AI solutions or worked with marketing-focused ML use cases.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's needs. Mention specific experiences that demonstrate your ability to deliver data-driven solutions in a marketing context.
Showcase Technical Skills: Clearly outline your proficiency in Python and any experience with platforms like Azure, AWS, or GCP. Include examples of how you've used these tools in previous roles, especially in relation to marketing analytics.
Highlight Communication Abilities: Since the role involves engaging with senior marketing stakeholders, emphasise your strong communication skills. Provide examples of how you've successfully communicated complex data insights to non-technical audiences.
How to prepare for a job interview at EPAM
✨Showcase Your Marketing Expertise
Make sure to highlight your experience in marketing-focused projects during the interview. Discuss specific examples where you've applied data science to solve marketing challenges, such as segmentation or campaign optimisation.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with tools and platforms like Python, Azure, AWS, or Google Cloud. You might be asked to explain how you've used these technologies in previous roles, so have relevant examples ready.
✨Communicate Clearly with Stakeholders
Since the role involves engaging with senior marketing stakeholders, practice articulating complex data science concepts in a way that's easy to understand. This will show your ability to bridge the gap between technical and non-technical audiences.
✨Stay Updated on AI/ML Trends
Research the latest trends in AI and machine learning, particularly in marketing applications. Being able to discuss current developments and how they can impact the business will demonstrate your passion and commitment to the field.