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- Tasks: Join a dynamic team to design and implement data-driven marketing solutions.
- Company: EPAM Systems is a leading digital transformation service provider expanding its Data Practice across Europe.
- Benefits: Enjoy perks like private medical insurance, free lunches, and learning opportunities.
- Why this job: Make an impact with AI in marketing while collaborating with top clients and experts.
- Qualifications: Degree in Data Science or related field; 2+ years in data science/analytics preferred.
- Other info: Opportunity for participation in employee stock purchase and annual bonus programs.
The predicted salary is between 43200 - 72000 £ per year.
Data Science Consultant with Marketing Expertise
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Data Science Consultant with Marketing Expertise
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As one of the world’s 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.
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
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Business Development, Information Technology, and Engineering
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Industries
Software Development and IT Services and IT Consulting
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Data Science Consultant with Marketing Expertise employer: EPAM Systems
Contact Detail:
EPAM Systems 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 marketing analytics. Being able to discuss current developments and how they can be applied to real-world marketing challenges will set you apart 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 company culture.
✨Tip Number 3
Prepare to showcase your hands-on experience with marketing-focused ML use cases. Be ready to discuss specific projects you've worked on, particularly those involving segmentation or campaign analytics, as these are crucial for this role.
✨Tip Number 4
Brush up on your communication skills, especially when it comes to explaining complex data concepts to non-technical stakeholders. This is vital for a Data Science Consultant, as you'll need to convey insights effectively to senior marketing teams.
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. Use specific examples from your past roles that demonstrate your ability to implement AI strategies and work on marketing-focused projects.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the intersection of data science and marketing. Mention any relevant projects or achievements that showcase your skills in ML models and marketing analytics.
Showcase Technical Skills: Clearly list your technical skills, especially your proficiency in Python and familiarity with platforms like Azure or AWS. Highlight any experience with marketing tools such as HubSpot or Google Analytics, as these are crucial for the role.
Demonstrate Communication Skills: Since the role involves engaging with senior marketing stakeholders, provide examples of how you've effectively communicated complex data insights in previous positions. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at EPAM Systems
✨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 techniques to solve marketing challenges, such as segmentation or campaign optimisation.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with tools and languages relevant to the role, like Python and platforms such as Azure or AWS. You might be asked to explain how you've used these technologies in past projects, so have concrete 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. Think about how you can convey the value of your insights and strategies effectively.
✨Stay Updated on AI/ML Trends
Research the latest trends in AI and machine learning, particularly those related to marketing applications. Being able to discuss current developments will show your passion for the field and your commitment to staying informed.