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Consultant – Managing Consultant – Senior Manager – Contextual Systems Engineering

Locations: Atlanta | New York City | Chicago | Seattle | San Francisco

A leading transformation consultancy is hiring Contextual Systems Engineers to help build AI‑ready data and knowledge foundations for enterprise clients.

This is a hands‑on consulting role, focused on semantic layers, analytics engineering, and contextual data platforms that enable AI systems to operate effectively at scale.

What you’ll do

• Design and implement semantic layers (metrics, dimensions, business models)
• Build and maintain data pipelines feeding analytics and AI systems
• Contribute to knowledge graph and context platform design
• Document data models, definitions, and context contracts
• Work closely with consultants, architects, and client teams

What we’re looking for

• 3-12 years experience in analytics engineering, data engineering, or data architecture
• Strong SQL and experience building data pipelines
• Experience with dbt, LookML, or similar semantic/metrics layers
• Exposure to cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Consulting or client‑facing experience preferred

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Senior Consultant – Managing Consultant – Senior Manager – Forward Deployed Engineering

Locations: Atlanta | New York City | Chicago | Seattle | San Francisco

An enterprise data and AI consulting group is seeking Forward Deployed Engineers to deliver embedded, production‑grade solutions within complex client environments.

This role is ideal for engineers who enjoy owning delivery end‑to‑end, working directly with client teams, and seeing solutions adopted in the real world.

What you’ll do

• Own embedded technical workstreams from requirements to deployment
• Build and maintain production data pipelines and AI workflows
• Partner closely with client engineers and data leaders
• Drive adoption through pairing, documentation, and enablement
• Mentor junior consultants on delivery best practices

What we’re looking for

• 5-6 years experience in client‑facing or embedded engineering roles
• Strong Python and SQL skills
• Experience building and deploying production data pipelines
• Comfort working independently in ambiguous client environments
• Experience with enterprise platforms (e.g. Palantir Foundry or similar) is highly desirable

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Marketing Data Scientist

London | £45,000 to £55,000 + bonus and benefits
No sponsorship offered – must have full right to work in the UK

This is a rare opportunity to join a growing data science function at a pivotal moment for the business. With senior backing, fresh investment, and a clear focus on marketing effectiveness, this role offers real ownership, visibility, and the chance to shape how data science drives commercial decisions at scale.

The Company

They are a well established, international organisation undergoing a period of transformation, with a renewed focus on data driven decision making. A new leadership team is investing heavily in analytics to improve customer understanding, optimise marketing spend, and drive long term growth. The data science team has expanded rapidly and continues to grow across the UK and US, creating strong collaboration and progression opportunities.

The Role

You will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact.

Key responsibilities include:

• Developing and enhancing media mix models to measure and optimise marketing investment.
• Scaling an established UK modelling framework and applying it to international markets.
• Leading the evolution of marketing effectiveness modelling, with support and one direct report.
• Working closely with marketing, CRM, and analytics stakeholders to turn insights into action.
• Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems.
• Owning projects end to end, from problem definition through to measurable business impact.

Your Skills and Experience

• Strong hands on experience with Python and applied machine learning.
• Solid grounding in statistical and predictive modelling techniques.
• Experience designing experiments and evaluating performance using A B testing or similar approaches.
• Confidence working with real world, messy data and delivering production ready solutions.
• Familiarity with cloud environments such as AWS is beneficial.
• Exposure to Bayesian methods, random forests, or marketing analytics is advantageous but not essential.
• Ability to demonstrate how your work has delivered tangible value or influenced decision making.

What They Offer

• Salary between £45,000 and £55,000 depending on experience.
• 10 percent annual bonus.
• Pension with 3 percent employer and 5 percent employee contribution.
• Hybrid working with 2 to 3 days per week in the London office.
• Clear progression as the data science team continues to grow and invest.

How to Apply

If you are looking for a hands on marketing focused data science role with ownership, impact, and urgency, apply now to be considered. Sponsorship is not available for this role.

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AI CONSULTANT

UP TO £85,000 + BENEFITS

LONDON, LEEDS OR NOTTINGHAM

HYBRID WORKING POLICY – 3 DAYS A WEEK IN OFFICE

Are you an experienced AI professional with a background in credit risk? Join a leading global credit business and play a key role in shaping how AI is used to improve lending decisions across industries.

THE COMPANY

A global credit business that provides data and analytics to help businesses make more informed lending decisions. Working with banks, fintechs, and other organisations, to deliver insights that enable better risk assessment, strategy development, and customer outcomes. Their newly established AI Lab is focused on advancing AI capabilities and embedding innovation across the business.

THE ROLE

As an AI Consultant you will focus on developing AI-driven solutions and enhancing modelling capabilities to support client projects and internal innovation.

Specifically, you can expect to be involved in the following:

• Develop and enhance AI and machine learning models, including scorecards and predictive models.
• Work on innovative use cases such as chatbots, transformers, and LLM-based applications.
• Conduct research and development to identify new AI-driven solutions in lending and risk.
• Contribute to new product development and AI-led offerings.
• Support the integration of AI into broader business processes and client solutions.
• Collaborate with data and analytics teams across locations.

SKILLS AND EXPERIENCE

The successful AI Consultant will have the following skills and experience:

• Experience in credit risk within a lender (bank, fintech) or credit reference agency.
• Strong background in model development, ideally scorecards.
• Hands-on experience with AI/ML techniques (e.g. LLMs chatbots, predictive models)
• Strong SQL and Python skills

BENEFITS

The successful AI Consultant will receive a salary up to £85,000 as well as a comprehensive benefits package.

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DATA SCIENTIST

UP TO £50,000 + BENEFITS

LONDON

HYBRID WORKING POLICY – 2/3 DAYS A WEEK IN OFFICE

Join a leading insurance company as a Data Scientist, shaping how pricing strategies perform across a live portfolio. Using advanced analytics and loss‑ratio insights, you’ll challenge assumptions and refine risk selection. In doing so, you’ll directly influence how millions of customers are priced in a digital‑first environment.

THE COMPANY

This fast‑growing digital insurer is reshaping the insurance market through a technology‑led, data‑driven approach, serving millions of customers across Europe. With consistent, profitable growth and ongoing investment in advanced analytics and pricing capability, the business continues to scale at pace while maintaining a strong focus on innovation and customer value.

THE ROLE

As a Data Scientist, you will analyse how pricing decisions perform across a live portfolio, using data‑driven insights to assess whether outcomes align with pricing intent and commercial objectives.

Specifically, you can expect to be involved in the following:

• Leveraging Python, SQL, and advance analytics to interrogate portfolio performance and evaluate modelled customer segments.
• Using loss-ratio led insights to determine whether segments remain viable or require repricing, constraint, or redesign.
• Translating complex data into clear, evidence-based recommendations to influence pricing and modelling strategies.
• Collaborating cross-functionally with pricing, underwriting, and data teams to drive informed portfolio decisions.
• Challenging assumptions and contributing to the continuous improvement of pricing models and risk selection approaches.

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• A strong academic background in mathematics, physics, or a related quantitative field.
• Exceptional analytical and problem-solving skills.
• Commercial awareness or interest in pricing, insurance, or customer behaviour modelling.
• Proficiency in Python.
• Strong communication skills, with the ability to explain complex ideas clearly and work collaboratively across teams.

BENEFITS

The successful Data Scientist will receive up to £50,000 as well as a comprehensive benefits package.

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Data Center Engineer – Build the Future of High-Performance Infrastructure

Irving, TX (100% onsite)
Up to $235K base + bonus + equity (OTE ~$330K-$350K+)

Why This Role Stands Out

This isn’t just another architecture role – it’s an opportunity to shape next-generation data center strategy at a globally recognized leader in semiconductor innovation.

You’ll sit at the forefront of infrastructure evolution, designing and scaling environments that power cutting-edge engineering, manufacturing, and high-performance workloads. With strong executive visibility and influence, your decisions won’t just support the business – they’ll define its future.

What You’ll Own

As the Data Center Architect, you’ll be the driving force behind designing and modernizing mission-critical environments across multiple sites. This is a high-impact role blending deep technical expertise with strategic vision.

Design & Architecture Leadership

• Architect large-scale, high-availability data center environments (compute, storage, networking, power, cooling)
• Define scalable, future-ready infrastructure aligned to aggressive growth plans
• Standardize designs across sites (rack layouts, deployments, and infrastructure components)

Next-Gen Networking (Arista Focus)

• Lead architecture for Arista-based data center fabrics in a multi-vendor ecosystem
• Utilize Arista CloudVision (CVP) for centralized management, visibility, and life-cycle operations
• Drive automation and consistency using AVD (Arista Validated Designs)
• Balance innovation with flexibility – avoiding vendor lock-in while maximizing performance

Capacity & Growth Strategy

• Own capacity planning and forecasting across multiple data centers
• Anticipate demand from engineering and manufacturing workloads
• Lead expansions and upgrades proactively – before they become constraints

What Makes You a Fit

You’re not just an architect – you’re a builder and strategist who thrives in complex, high-stakes environments.

• Proven experience designing enterprise or large-scale data centers
• Strong expertise across networking, compute, storage, and facility infrastructure
• Background in semiconductor, advanced manufacturing, or similar high-precision environments (strongly preferred)
• Experience supporting high-performance or engineering-driven workloads
• Track record of leading multiple data center builds or major expansions (3+)
• Familiarity with hyperscale or cloud-inspired architectures (AWS, Azure, GCP)
• Ability to operate both hands-on and strategic, with strong stakeholder influence

What You’ll Gain

• Direct impact on infrastructure strategy at a global technology leader
• The opportunity to bring modern, hyperscale design thinking into a highly complex environment
• Executive-level visibility and influence
• Top-tier compensation with significant upside

Bottom Line

If you’re looking to move beyond “keeping the lights on” and instead architect the future of high-performance infrastructure, this is the role that puts you in the driver’s seat.

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Principal Data Scientist – K-12 EdTech

We are currently spearheading a confidential search for a Principal Data Scientist on behalf of our client, a global leader in educational transition and innovation. This role offers the opportunity to provide high-level technical and scientific leadership for some of the most critical strategic efforts within their K-12 School business unit.

As a senior member of an elite team comprising AI researchers and psychometricians, you will be at the forefront of delivering cutting-edge DS/AI solutions that define the future of classroom learning.

The Opportunity

• Strategic Leadership: Lead the design and implementation of technical solutions that align with the organization’s long-term goals.
• Innovation & GenAI: Drive the development of production-scale DS/AI systems, with a specific recent focus on Generative AI (GenAI) applications.
• Cross-Functional Impact: Collaborate with Product, Engineering, Learning Design, and UX teams to ensure data science initiatives are perfectly synced with business objectives.
• Stakeholder Influence: Define project timelines across workstreams and present high-level findings and recommendations to key stakeholders.

Who You Are

• Expert Educator: You hold a Doctoral degree (or equivalent) in AI, Data Science, or a related field.
• Seasoned Professional: You bring 5+ years of applicable experience to the table.
• Technical Authority: You possess recognized expertise in at least one area of DS/AI through both academic and industry contributions.
• Systems Expert: You have deep, practical experience with production-scale DS/AI systems.
• Communicator: You possess a clear, collaborative communication style and the ability to lead technical projects independently.

Compensation & Logistics

• Salary Range: $190,000 – $220,000 per year.
• Bonus: Performance-based bonus eligible.
• Travel: Ability to travel up to 25% as required.
• Environment: General office setting with support for Remote work.
• Physical: Role is generally sedentary, requiring standing/walking approximately 10% of the time.

Note: Due to the confidential nature of this search, further details regarding our client’s identity will be shared with qualified candidates during the initial interview stage.

Apply today to explore this leadership-level opportunity in EdTech.

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