Principal Data & AI Consultant
Principal Data & AI Consultant

Principal Data & AI Consultant

London Full-Time 54000 - 84000 ยฃ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead client engagements and develop innovative Data & AI strategies.
  • Company: Ciklum is a custom product engineering company transforming industries with tech solutions.
  • Benefits: Enjoy comprehensive health insurance, tailored education paths, and a supportive growth environment.
  • Why this job: Join a dynamic team shaping the future of technology with global impact and innovation.
  • Qualifications: BSc, MSc, or PhD in relevant fields; strong knowledge of machine learning and data science techniques.
  • Other info: Experience with cloud implementations and a passion for mentoring are highly valued.

The predicted salary is between 54000 - 84000 ยฃ per year.

Ciklum is looking for a Principal Data & AI Consultant to join our team full-time in London. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role: As a Principal Data & AI Consultant, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:

  • Client engagements, account strategy & delivery responsibility within Data Science or AI Engineering domain(s)
  • Leading client development or enhancement of their Data & AI strategy to align with Business objectives
  • Ability to support hands-on development tasks where necessary / required
  • Technical authority for solution design and development through client engagements
  • Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability
  • Senior Stakeholder management
  • Collaborate on commercial development of account(s) with Account Manager & delivery team
  • Support sales function through providing expert technical advice and thought leadership
  • Generate content & materials in support of RFP or other bids
  • Ownership of the creation and maintenance of sales support content & training materials for the sales team
  • Collaboration on creation or adaptation of our GTM strategy & service offerings
  • Support for recruitment
  • Management of Capacity & Capability within your team aligned with client demand and our service offerings
  • Mentoring members of your team and other members of the service line cross-skilling
  • Leadership role(s) within internal innovation initiative, including development of prototype or demo solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
  • Provide Thought Leadership within the service by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
  • Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices.

Requirements:

We know that sometimes, you can't tick every box. We would still love to hear from you if you think you're a good fit!

General technical requirements:

  • BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields
  • Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning
  • Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science or AI solutions
  • Hands-on experience with various machine learning techniques, including but not limited to: Regression, Classification, Clustering, Dimensionality reduction, LLM
  • Proficiency in Python for developing machine learning models and conducting statistical analyses
  • Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively

Specific technical requirements:

  • Data Science or AI / ML strategy
  • Data Science or AI / ML solution architecture
  • Proficiency in development / languages related to data processing, data manipulation, sampling, and reporting. (Python / SQL / Java / Scala / etc.)
  • Experience working with imbalanced datasets and applying appropriate techniques
  • Experience with time series data, including preprocessing, feature engineering, and forecasting
  • Experience with outlier detection and anomaly detection
  • Experience working with various data types: text, image, and video data
  • Familiarity with AI/ML cloud implementations (AWS, Azure, GCP, NVidia) and cloud-based AI/ML services (e.g., Amazon SageMaker, Azure ML)

Domain experience:

  • Industry knowledge and experience in one of the following; BFSI, Manufacturing, Retail / Consumer Goods, Healthcare, Energy or Utilities, Tech
  • Extensive experience working with POS systems data, including transaction records, SKU-level details, and understanding of sales cycles
  • Knowledge of retail operations, including merchandising, store layouts, product placements, and how these factors impact sales and customer engagement
  • Familiarity with inventory management data, demand planning, and supply chain logistics, including forecasting stock levels and minimizing overstock/understock scenarios
  • Experience working with multiple data sources from online and offline retail channels (e.g., e-commerce platforms, in-store sales) and integrating them to deliver a unified customer view
  • Expertise in building models to predict future demand for products based on historical sales data, seasonality, promotions, and external factors like economic trends
  • Strong experience in developing personalized product recommendation systems using collaborative filtering, content-based filtering, or hybrid models to enhance the customer shopping experience
  • Expertise in association rule mining to identify frequently bought-together items for cross-selling and upselling opportunities
  • Ability to develop predictive models for customer churn, identifying at-risk customers and designing targeted retention strategies
  • Expertise in developing personalized customer experiences, from personalized promotions to tailored product recommendations based on real-time customer interactions
  • Knowledge of data privacy laws and frameworks like GDPR, CCPA, and PCI DSS (Payment Card Industry Data Security Standard) to ensure the secure handling of customer data and payment information
  • Expertise in managing sensitive consumer data, including PII (Personally Identifiable Information), and implementing consent-based data collection practices to protect customer privacy
  • Familiarity with Customer Relationship Management (CRM) systems (e.g., Salesforce, HubSpot) for analyzing customer interactions and optimizing marketing and sales strategies
  • Ability to work with merchandisers, marketing teams, store managers, and supply chain teams to ensure that data-driven insights are actionable and aligned with business goals

Business-related requirements:

  • Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution
  • Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods
  • Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels

Desirable:

  • Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e.g., Kubernetes)
  • Experience in deep learning development using TensorFlow or PyTorch libraries
  • Experience with Large Language Models (LLMs) and Generative AI applications
  • Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL
  • Familiarity with platforms like Databricks and Snowflake for data engineering and analytics
  • Experience working with Big Data technologies (e.g., Hadoop, Apache Spark)
  • Familiarity with NoSQL databases (e.g., columnar or graph databases like Cassandra, Neo4j)
  • Research experience with peer-reviewed publications
  • Certifications in cloud-based machine learning services (AWS, Azure, GCP)

Whatโ€™s in it for you?

  • Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and Mental Health programs
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfil your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events

Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We canโ€™t wait to see you at Ciklum.

Principal Data & AI Consultant employer: Ciklum

Ciklum is an exceptional employer that prioritises the well-being of its employees through comprehensive health benefits and a supportive work culture. With a strong focus on professional growth, we offer tailored education paths, internal mobility opportunities, and a collaborative environment where innovation thrives. Join us in London to work on impactful projects that redefine industries while being part of a friendly team that values your contributions.
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Contact Detail:

Ciklum Recruiting Team

StudySmarter Expert Advice ๐Ÿคซ

We think this is how you could land Principal Data & AI Consultant

โœจTip Number 1

Familiarise yourself with the specific industries mentioned in the job description, such as BFSI, Manufacturing, and Retail. Understanding the unique challenges and data needs of these sectors will help you demonstrate your expertise during interviews.

โœจTip Number 2

Showcase your hands-on experience with machine learning techniques by preparing examples of past projects. Be ready to discuss how you applied these techniques to solve real-world problems, particularly in relation to data science or AI solutions.

โœจTip Number 3

Network with professionals in the Data & AI field, especially those who have experience in consulting roles. Engaging with industry peers can provide insights into the role and may even lead to referrals within Ciklum.

โœจTip Number 4

Prepare to discuss your approach to stakeholder management and team leadership. Highlight any previous experiences where you successfully led a team or managed client relationships, as these skills are crucial for the Principal Data & AI Consultant role.

We think you need these skills to ace Principal Data & AI Consultant

Expertise in Data Science and AI/ML strategy
Proficiency in Python for machine learning model development
Strong knowledge of Probability Theory and Statistics
Hands-on experience with machine learning techniques (Regression, Classification, Clustering)
Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly)
Familiarity with CRISP-ML(Q) or TDSP methodologies
Proficiency in SQL and other data processing languages (Java, Scala)
Experience with time series data analysis and forecasting
Knowledge of AI/ML cloud implementations (AWS, Azure, GCP)
Ability to manage sensitive consumer data and ensure compliance with data privacy laws
Strong project management and time management skills
Experience with MLOps and integration of machine learning pipelines
Familiarity with deep learning frameworks (TensorFlow, PyTorch)
Expertise in developing personalized recommendation systems
Ability to translate business problems into data science solutions
Experience with Big Data technologies (Hadoop, Apache Spark)

Some tips for your application ๐Ÿซก

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the responsibilities of a Principal Data & AI Consultant. Focus on your expertise in data science, machine learning, and any specific industry knowledge that matches Ciklum's requirements.

Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your understanding of Ciklum's mission and values. Explain how your background can contribute to their projects and client engagements.

Highlight Leadership Experience: Since the role involves mentoring and team management, be sure to include examples of your leadership experience. Discuss how you've successfully led teams or projects in the past, particularly in the context of data science or AI.

Showcase Problem-Solving Skills: Provide specific examples of how you've tackled complex business challenges using data science or AI solutions. This could include case studies or projects where your contributions led to measurable business impact.

How to prepare for a job interview at Ciklum

โœจShowcase Your Technical Expertise

As a Principal Data & AI Consultant, it's crucial to demonstrate your deep understanding of machine learning techniques and data science methodologies. Be prepared to discuss specific projects where you've applied these skills, particularly in areas like regression, classification, and time series analysis.

โœจPrepare for Stakeholder Management Questions

Given the seniority of the role, expect questions about managing stakeholders and aligning technical solutions with business objectives. Share examples of how you've successfully navigated complex client relationships and delivered impactful results.

โœจDiscuss Your Leadership Experience

Highlight your experience in mentoring and team building. Be ready to talk about how you've supported the growth of your team members and contributed to a collaborative work environment, as this is key for the role.

โœจFamiliarise Yourself with Industry Trends

Stay updated on the latest trends in AI and data science, especially within the industries relevant to the company, such as BFSI or Retail. Being able to discuss current challenges and innovations will show your passion and commitment to the field.

Principal Data & AI Consultant
Ciklum
C
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