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Principal Data Scientist

London

If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.

THE COMPANY

This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.

THE ROLE

As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

• Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
• Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
• Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
• Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
• Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics

YOUR SKILLS & EXPERIENCE

• Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
• Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
• Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
• Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
• Hands-on experience building models and turning prototypes into robust, production-ready solutions
• Experience leading teams or technical workstreams in a project environment
• UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs

Nice-to-have experience:

• Background in a consulting environment or a high-performing in-house DS/AI team
• Exposure to sectors such as defence, public sector and consumer/retail
• Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
• A mix of technical, product and operational experience – comfortable talking both code and business outcome

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Lead / Principal Data Scientist

TRAVEL ACROSS THE UK REQUIRED

This is a great opportunity to join a growing consultancy and lead digital, AI, and analytics solutions that deliver real operational impact across the UK.

The Company
They are a specialist consulting organisation that helps complex public and private sector clients improve performance through data, AI, and digital tools. Their culture is collaborative, outcome focused, and built around delivering practical solutions that stick. With digital capability expanding rapidly, you will help shape how they deliver technology driven change.

The Role
* Identify opportunities to apply AI, analytics, and digital tooling.
* Lead technical workstreams from design through to implementation.
* Work closely with client teams on site across the UK.
* Translate technical concepts for non‑technical audiences.
* Support the development of colleagues and digital practices.

Your Skills and Experience
* Strong commercial experience delivering digital or AI solutions end to end.
* Expertise in at least one of AI, data science, analytics, or digital engineering.
* Confident leading multi‑disciplinary teams.
* Clear communication and stakeholder engagement skills.
* Flexible to travel to client sites across the UK.

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Junior Data Scientist

London
Competitive salary between £45,000 – £55,000 plus benefits

This is an excellent opportunity for an aspiring Data Scientist to step into a role offering early ownership, broad project exposure and genuine career progression. If you are looking for a position where you can grow quickly, develop strong consulting skills and work across a wide range of industries, this role stands out.

The Company

They are a well-established, global consultancy with a growing Data and Analytics function at the heart of their European business. The team combines technical capability with strategic insight, supporting clients across multiple sectors. You will join a collaborative group where learning is prioritised and downtime between projects is used for development, training and internal innovation.

The Role

As a Data Scientist, you will work across both client-facing and internal initiatives, typically focusing on one main project at a time.

Responsibilities include:

• Supporting client engagements, from exploratory data analysis to dashboards and statistical insights.
• Building and contributing to modelling and analytics workstreams with guidance from experienced team members.
• Working on internal projects, including proposals, tooling and machine learning initiatives.
• Collaborating with technical and non-technical colleagues to deliver clear, actionable insights.
• Gaining exposure to a wide range of industries, from life sciences and healthcare to transport, logistics and financial services.

Your Skills and Experience

You will bring:

• Strong Python skills and a solid grounding in data science principles.
• Effective communication skills and the ability to explain your work clearly.
• A proactive mindset and an interest in consulting-style problem solving.
• Experience with SQL or cloud platforms is a bonus, and quick to learn.
• A Bachelors or Masters in a quantitative field, with PhD backgrounds also welcome.

What They Offer

• Competitive salary between £45,000 – £55,000 plus a 5,000 first‑year sign‑on bonus.
• Company profit‑share bonus scheme, typically around 7 percent.
• Comprehensive benefits including private health insurance, life insurance, disability cover, travel insurance and a pension scheme.
• Wellbeing and work-from-home allowances.
• Eye care and cycle vouchers.
• A supportive culture with strong development pathways and clear upward mobility.
• Hybrid working from a central London office.

How to Apply

If you are ready to grow your data science career in a consultancy environment, apply below or email me at for more information.

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Clinical Data Scientist
San Francisco, California

Remote

$160,000 – $190,000 + Equity

About the Company

This innovative health tech startup is working to improve the oncology drug development process by providing better patient data to drug developers as well as better access to clinical trials for patients. This series B startup is expending to meet demand.

About the Role

As a Clinical Data Scientist, you’ll execute the last leg of the clinical data pipeline by transforming, cleaning, validating, and delivering high‑quality clinical datasets for pharma partners. Heavy collaboration with Clinical Ops, AI Engineering, and Data Delivery.

Role Responsibilities

• Transform raw, abstracted, and AI‑processed data into CDISC SDTM/ADaM datasets
• Program statistical outputs (tables, listings, figures) in SAS/R/Python
• Investigate data anomalies across multiple messy data inputs
• Define data dictionaries and standards before study kickoff
• Handle data in a HIPAA‑aligned manner

Key Requirements

• 2-5 years in clinical data science, stat programming, or clinical data management
• Pharma/Biotech experience
• SAS, R, Python, SQL
• Real‑world clinical data or oncology trials
• CDISC SDTM/ADaM

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Director of Data Science

Location: Atlanta, GA (Onsite)

Salary: $250-350k depending on experience

We’re partnering with a leading private equity-backed consumer platform to hire a Director of Data Science to lead and scale an enterprise-level data science function.

This role sits at the intersection of investment strategy, portfolio performance, and advanced analytics, with direct influence on how data science, machine learning, and Generative AI are used to drive value across a large multi-brand ecosystem.

The Role

You’ll own the vision, execution, and growth of the Data Science function, leading a high-performing team and partnering closely with senior leaders across strategy, engineering, product, and investment teams.

The work spans commercial due diligence, forecasting, pricing, experimentation, marketing analytics, and GenAI tooling, with a strong emphasis on building scalable, production-grade solutions that drive measurable business impact.

This is a player-coach role – hands-on where needed, strategic where it counts.

What You’ll Be Doing

• Lead and grow the Data Science team, setting technical standards and best practices
• Define the long-term roadmap, tooling, and architecture for applied data science
• Partner with investment and portfolio teams on predictive modeling and value creation
• Drive the adoption and impact of Generative AI and agentic workflows
• Own the full model lifecycle, from problem framing through production deployment
• Translate complex analytics into clear, executive-level insights

What We’re Looking For

• 10+ years of applied data science / ML experience
• Strong Python and SQL skills, with proven production deployment experience
• Experience leading and scaling technical teams
• Deep expertise in forecasting, experimentation, pricing, and causal analysis
• Strong business judgment and executive communication skills

Nice to have: consumer / retail / QSR exposure, multi-brand environments, PE or consulting background, advanced degree, and a strong point of view on how GenAI tools are reshaping data science workflows.

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Data Science Manager
Location: Canada | EST Hours Required

Salary: $175-220k base + bonus

We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.

This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.

You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.

It’s startup-level ownership with the scale and data of a large, active user base.

What You’ll Do

• Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
• Define success metrics, monitor production models, and iterate until business results improve
• Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
• Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
• Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability

What We’re Looking For

• 6+ years building and deploying consumer-facing ML systems in production
• 2+ years leading or managing data scientists or ML engineers
• Experience building teams, not just operating as an IC
• Strong Python skills
• Experience with Databricks or similar ML platforms
• Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
• Proven ability to translate ambiguous business problems into measurable ML outcomes
• Strong bias toward shipping, iteration, and impact
• Sound judgment on when to ship an MVP vs. invest in robustness
• Actively uses AI tools to accelerate development and expects the same from their team

Nice to Have

• Experience with experimentation platforms or causal inference
• Background in subscription or SaaS businesses
• Familiarity with TypeScript or production engineering practices

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Lead Data Scientist – Leicester x2 days a week

We are working with a leading ecommerce company who are looking to add a Lead Data Scientist to their team. This role will involve the line management of 2 junior data scientists and will be interacting with stakeholders often.

The role will sit within a Marketing Science department and you will work on customer and marketing data including customer churn, segmentation, campaign analysis and marketing effectiveness across ads.

Required:

• Strong leadership and communication skills
• Ability to work in a fast paced environment
• Strong Python & SQL skills
• 4+ years in a Data Science position

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Lead Product Analyst – Leicester or London

We are working with a global membership-based company that partner with 1000s of brands to offer discount to eligible workers.

They are seeking a Lead Product Analyst to use insights to drive narratives of user behaviour and highlight key metrics to guide recommendations within the business.

Responsibilities:

• Develop self-service dashboards and data tools to enable rapid insights into product features
• Collaborate with stakeholders to establish metrics to ensure data reliability
• Translate business problems into analytical tasks
• Present findings back to key stakeholders, ensuring a consistent story is told throughout the data

Required:

• 5+ years experience in a Product focused analyst role
• SQL, dbt, Python or R experience
• Lightdash, Looker or Tableau experience

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