Start Hiring Start Applying
Start Applying

StudySmarter Job Board

Data Science Consultant
Job Board
Companies
EPAM
Data Science Consultant

Data Science Consultant

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
E

At a Glance

  • Tasks: Join us as a Data Science Consultant, tackling AI challenges and designing innovative solutions.
  • Company: EPAM is a global leader in digital transformation, fostering an inclusive and innovative culture.
  • Benefits: Enjoy perks like private medical insurance, gym discounts, and continuous learning opportunities.
  • Why this job: Make an impact with cutting-edge AI projects while collaborating with diverse teams across Europe.
  • Qualifications: Bachelor's or Master's in relevant fields; 2+ years in data science or IT consulting required.
  • Other info: Work remotely and enjoy a vibrant workplace with social events and wellness programs.

The predicted salary is between 36000 - 60000 £ per year.

Description

ABOUT THE ROLE

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 and IT consulting. 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.

Responsibilities

  • Support clients with the definition and implementation of their AI strategy
  • Implement and oversee AI governance frameworks, focusing on regulatory compliance and ethical AI principles and ensuring business value from AI investments
  • Ideate, design and implement new AI enabled products
  • Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices
  • Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift
  • Engage with senior executives, effectively communicating AI opportunities, risks and strategies in accessible terms
  • Collaborate with legal teams to navigate AI regulatory risks, particularly in the context of the EU AI regulatory framework
  • Maintain up-to-date knowledge of industry trends, emerging technologies and regulatory changes impacting AI/ML
  • Support pre-sales activities including client presentations, demos and RFP/RFI responses

    • Requirements

  • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Physics or a related field. Ph.D. is a plus
  • 2+ years of experience in data science, analytics or related roles within the IT consulting and services industry
  • Strong communication skills, comfortable presenting to senior business leaders
  • Deep understanding of LLMs, their strengths and their limitations
  • Deep understanding of RAG based solution approaches
  • Proven experience as a data scientist with exposure to AI/ML governance and responsible AI practices
  • Strong understanding of ML Ops principles and experience in model deployment and management
  • Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives
  • Expertise in identifying and mitigating bias in AI/ML models
  • Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash and Streamlit

    • Our Benefits Include

  • A competitive group pension plan and protection benefits including life assurance, income protection and critical illness cover
  • Private medical insurance and dental care
  • Cyclescheme, Techscheme and season ticket loans
  • Employee assistance program
  • Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more
  • EPAM Employee Stock Purchase Plan (ESPP)
  • Various perks such as gym discounts, free Wednesday lunch in-office, on-site massages and regular social events
  • Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period

    • About EPAM

  • EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential

    • Data Science Consultant employer: EPAM

    EPAM is an exceptional employer, offering a vibrant and inclusive work culture that champions continuous learning and professional growth. As a Data Science Consultant, you will benefit from comprehensive training programs, competitive benefits including private medical insurance and employee stock purchase plans, and the opportunity to work on cutting-edge AI projects with a diverse team across Europe. With a focus on ethical AI practices and a commitment to employee well-being, EPAM provides a rewarding environment for those looking to make a meaningful impact in the tech industry.
    E

    Contact Detail:

    EPAM Recruiting Team

    View EPAM Profile

    StudySmarter Expert Advice 🤫

    We think this is how you could land Data Science Consultant

    ✨Tip Number 1

    Familiarise yourself with the latest trends in AI and data science. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field, making you a more attractive candidate.

    ✨Tip Number 2

    Prepare to showcase your experience with AI governance and responsible AI practices. Be ready to discuss specific examples where you've implemented these principles, as this is a key focus for the role and will highlight your suitability.

    ✨Tip Number 3

    Brush up on your communication skills, especially when it comes to explaining complex concepts to non-technical stakeholders. Practising how to convey technical information clearly can set you apart, as strong communication is essential for this position.

    ✨Tip Number 4

    Network with professionals in the data science and AI fields. Engaging with industry peers can provide insights into the role and company culture, and may even lead to referrals, increasing your chances of landing the job.

    We think you need these skills to ace Data Science Consultant

    Data Science
    Analytics
    IT Consulting
    AI Strategy Implementation
    AI Governance Frameworks
    Ethical AI Principles
    AI/ML Model Deployment
    MLOps Practices
    Model Performance Monitoring
    Explainability in AI
    Data Drift Management
    Communication Skills
    Client Presentations
    Large Language Models (LLMs)
    RAG-based Solutions
    Responsible AI Practices
    Python Proficiency
    Cloud Platforms (Azure, AWS, GCP)
    Databricks
    MLFlow
    Airflow
    Plotly Dash
    Streamlit
    Bias Mitigation in AI/ML Models

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and IT consulting. Emphasise your skills in AI/ML governance, model deployment, and any specific tools mentioned in the job description.

    Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Discuss how your background aligns with their needs, particularly in implementing AI strategies and communicating with senior executives.

    Showcase Relevant Projects: Include examples of past projects where you successfully deployed AI/ML models or developed data-driven solutions. Highlight your role in these projects and the impact they had on business outcomes.

    Prepare for Technical Questions: Anticipate technical questions related to AI/ML principles, model performance optimisation, and ethical AI practices. Be ready to discuss your experience with Large Language Models and how you've addressed challenges in previous roles.

    How to prepare for a job interview at EPAM

    ✨Showcase Your Technical Skills

    Be prepared to discuss your experience with data science tools and languages, particularly Python. Highlight any projects where you've implemented AI/ML models, focusing on your understanding of MLOps principles and governance frameworks.

    ✨Communicate Effectively

    Since the role involves presenting to senior executives, practice explaining complex concepts in simple terms. Use examples from your past experiences to demonstrate how you communicated AI opportunities and risks to non-technical stakeholders.

    ✨Stay Updated on Industry Trends

    Research the latest developments in AI and ML, especially regarding ethical practices and regulatory changes in the EU. Being knowledgeable about current trends will show your commitment to the field and your ability to provide valuable insights.

    ✨Prepare for Scenario-Based Questions

    Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've successfully designed data-driven solutions or addressed challenges related to model performance and explainability.

    Data Science Consultant
    EPAM
    Location: London
    Go Premium

    Land your dream job quicker with Premium

    You’re marked as a top applicant with our partner companies
    Individual CV and cover letter feedback including tailoring to specific job roles
    Be among the first applications for new jobs with our AI application
    1:1 support and career advice from our career coaches
    Go Premium

    Money-back if you don't land a job in 6-months

    E

    • Data Science Consultant

      London
      Full-Time
      36000 - 60000 £ / year (est.)
    • E

      EPAM

      1000-5000
      View EPAM Profile
    Similar positions in other companies
    UK’s top job board for Gen Z
    discover-jobs-cta
    Discover now
    >