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- Tasks: Lead ML/AI projects, design solutions, and mentor junior team members.
- Company: EPAM is a top global digital transformation service provider with a focus on innovation.
- Benefits: Enjoy flexible work, competitive perks, private medical insurance, and wellness programmes.
- Why this job: Join a diverse team, tackle exciting challenges, and make a real impact in tech.
- Qualifications: Bachelor's or master's in relevant fields; proven leadership in ML/AI required.
- Other info: Work remotely with occasional client meetings; great for tech enthusiasts!
The predicted salary is between 43200 - 72000 £ per year.
Description
ABOUT THE ROLE
Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast paced entrepreneurial engineering environment and take ownership for critical technical and business decisions that directly impact EPAM and our clients?
As one of the worlds leading digital transformation service providers, we are looking to aggressively expand our Data Practice across Europe to meet increasing client demand for our services. We are open to hiring people at Director or Snr Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).
The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI driven solutions, play a highly visible leading role in the organisation whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.
We offer a flexible work set-up with face to face client meetings from time to time.
Responsibilities
Requirements
We Offer
About EPAM
Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI) employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI)
✨Tip Number 1
Network with professionals in the Data Science and AI fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and clients. Building relationships can lead to valuable insights and opportunities that may not be advertised.
✨Tip Number 2
Stay updated on the latest trends and advancements in ML/AI. Follow relevant blogs, podcasts, and thought leaders on social media. This knowledge will not only enhance your expertise but also give you talking points during interviews and networking events.
✨Tip Number 3
Engage in online communities and forums related to Data Science and AI. Platforms like LinkedIn, GitHub, and Stack Overflow can help you showcase your skills and connect with others in the field. Participating in discussions can also demonstrate your passion and commitment.
✨Tip Number 4
Consider reaching out directly to current employees at EPAM or similar companies. Informational interviews can provide insider knowledge about the company culture and expectations for the role, which can be invaluable when preparing for your application.
We think you need these skills to ace Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, Machine Learning, and Artificial Intelligence. Focus on leadership roles and specific projects that demonstrate your ability to solve complex data challenges.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and your strategic vision for ML/AI solutions. Mention how your skills align with the responsibilities outlined in the job description and express your enthusiasm for working with EPAM.
Highlight Technical Skills: Clearly list your proficiency in programming languages like Python, R, and Java, as well as your experience with ML frameworks such as TensorFlow and PyTorch. Include any relevant certifications or training that support your expertise.
Showcase Leadership Experience: Emphasise your previous leadership roles and your ability to influence senior stakeholders. Provide examples of how you've successfully led teams in delivering ML/AI solutions and secured funding for projects.
How to prepare for a job interview at EPAM
✨Showcase Your Technical Expertise
As a candidate for a Director/Snr Director role in Data Science Consulting, it's crucial to demonstrate your deep understanding of ML/AI technologies. Be prepared to discuss specific projects where you've implemented ML algorithms or data models, and how these solutions addressed client challenges.
✨Engage with Client Scenarios
During the interview, expect to engage in discussions about real-world client scenarios. Practice articulating how you would approach understanding a client's needs and how you would communicate the value of ML/AI solutions to them. This shows your ability to connect technical solutions with business outcomes.
✨Highlight Leadership and Mentorship Experience
Since this role involves leading teams and mentoring junior members, be ready to share examples of your leadership style. Discuss how you've successfully guided teams through complex projects and how you foster a culture of learning and innovation within your team.
✨Prepare for Stakeholder Engagement
Given the importance of influencing senior stakeholders, prepare to discuss your strategies for securing funding and support for projects. Share experiences where you've effectively communicated technical concepts to non-technical audiences, showcasing your strong communication skills.
