AI Strategy & Delivery Lead β€” Generative AI & ROI

AI Strategy & Delivery Lead β€” Generative AI & ROI

Full-Time 70000 - 90000 Β£ / year (est.) Home office (partial)
SoftServe

At a Glance

  • Tasks: Lead AI consulting projects and help clients unlock AI's full potential.
  • Company: Join SoftServe, a leader in AI innovation and consulting.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on impactful AI solutions.
  • Why this job: Be at the forefront of AI advancements and make a real difference.
  • Qualifications: Experience in large-scale AI systems and excellent communication skills.

The predicted salary is between 70000 - 90000 Β£ per year.

SoftServe is seeking a trusted AI advisor to lead consulting engagements and help clients realize the full value of AI. You will work within the AI and Data Science Center of Excellence and contribute to go-to-market strategies.

The ideal candidate has a proven track record in building large-scale AI systems and strong communication skills. A Master's or Bachelor's degree in a relevant field is essential for this role.

Join SoftServe to drive impactful AI innovations.

AI Strategy & Delivery Lead β€” Generative AI & ROI employer: SoftServe

At SoftServe, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our AI and Data Science Center of Excellence offers unparalleled opportunities for professional growth, allowing you to work on cutting-edge projects in a supportive environment. With a focus on employee development and a commitment to driving impactful AI innovations, joining our team means becoming part of a forward-thinking organisation that values your contributions and invests in your future.

SoftServe

Contact Details:

SoftServe Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land AI Strategy & Delivery Lead β€” Generative AI & ROI

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SoftServe!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Strategy & Delivery Lead β€” Generative AI & ROI at SoftServe.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SoftServe.

✨Apply Directly through Our Website

When you find a suitable opening like AI Strategy & Delivery Lead β€” Generative AI & ROI at SoftServe, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Strategy & Delivery Lead β€” Generative AI & ROI

AI Consulting
Large-Scale AI Systems Development
Go-to-Market Strategy
Communication Skills
Data Science
Project Leadership
Stakeholder Engagement

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at SoftServe, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SoftServe. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at SoftServe

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SoftServe!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.