Senior Consultant - Data Scientist

Intuita
Newbury
1 day ago
Create job alert
All our office locations considered: Newbury, London (satellite) & Liverpool; OR Croatia (Šibenik)
👥 The Team

We're Intuita - part of FSP Consultancy, a fast growing consultancy that's making waves in both the consultancy and technology space! With our ambitious growth plans and a highly successful journey to date, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations!


📝The Role

We are looking for a bright, driven and hands‑on Data Scientist to join our growing data consultancy.


You will bring experience of various data science techniques in a real‑world environment, as well as the ability to maintain strong client relationship skills and the natural inclination to take ownership of analytical problems. You will work both independently and collaboratively to provide high‑quality solutions.


As a key player within an already experienced and talented analytics and data science team, you are expected to provide clarity of thinking, data science modelling excellence, and exceptional quality to multiple deliveries.


This role provides an exciting development path with exposure to each level of our organisation and opportunities to experience all elements of the project lifecycle, from inception through to delivery.


📈Key outputs for the role:

  • Developing Approach and Plans: Detailed, thought‑through analytical approaches to solving business problems, with a keen focus on client value.
  • Detailed Analytical Outputs: Fit for purpose solutions to business problems such as ML models, Probabilistic models, and / or curated datasets that can be easily translated into actionable insights.
  • Building Business Context: Drawing contextual conclusions and actions from analytics that are highly relevant and valuable to the end-client
  • Commercial Understanding: Able to relate to differing client business models, identification of business challenges from analytical investigation and/or demonstration of how analytical solutions can drive commercial value
  • Presentation of value add: Ability to present, illustrate and articulate the results of analytical work and the value created for end clients
  • Delivery Focused: Ability to ensure delivery is high value, on time and client focused. You must be equally comfortable working either as part of a team or displaying self‑starter skills whilst working independently

We have a strong ethos ofaccountability, quality and integrityat Intuita and like to work with people who believe in this too. We also really valuecollaboration and teamwork, working together to solve problemsbut alwayshaving fun along the way.


We want you to bring your own personality and approach to the role, but you'll also need:


Required Skills and Experience
Technical Skills

  • Python or R (critical)
  • Visualisation tools and packages (Power BI, Quick Suite, matplotlib etc) (highly desirable)
  • Knowledge of data warehousing and cloud data platforms (highly desirable)
  • CI/CD version control workflows (e.g. Git)

Ideal Experience

  • Proven track‑record of delivering high‑quality data science solutions in a hands on capacity, demonstrating a high level of critical thinking and problem solving skills
  • Practical experience developing ML models, probabilistic models and curated datasets to solve business problems.
  • Proven experience managing the full data science lifecycle, from feature engineering and design through to the build, test, and deployment of models.
  • Experience monitoring and optimising the performance of models
  • A pragmatic and iterative approach to the full project lifecycle, with the ability to adapt to changing client requirements from inception through to delivery
  • Experience working with customer value, commercial and/or marketing data to drive commercial value for clients
  • Demonstrates strong commercial awareness and the initiative to tackle wider project or organisational challenges through advanced analytics.
  • Experience presenting complex information and model outputs to a variety of stakeholders
  • Sound working knowledge of data protection and GDPR
  • Degree in a relevant field (e.g., Computer Science, Statistics, Mathematics, Economics or equivalent)
  • Work within a large corporate setting with big data volumes is highly advantageous (e.g. financial services, telco, healthcare)

Required Characteristics

  • Proactive, dynamic, and driven by solving analytical problems, with a great eye for detail
  • Takes accountability and ownership of tasks, works with tenacity and confidence to find a way
  • An excellent communicator who can make sense of and communicate complex ideas
  • Ability to quickly understand client context and demonstrate expertise in their business
  • A relationship builder, with the ability to motivate and engage effectively to build trust with clients and colleagues
  • An interest in industry trends, emerging technologies, and client's businesses

If you don't fit the above criteria exactly and are interested in working for us, get in touch anyway -we hire people, not job specs!


❔What's in it for you?

  • 🏠(Really) flexible and remote working -we don't mind when, where or how you work; you are trusted to work in the way that suits you best
  • 🧠Genuine care and support for your health and wellbeing -free therapy sessions, financial education, birthday treats and much more
  • 🚀Incredible training and learning opportunities -you'll be surrounded by the best in the business and encouraged to keep growing
  • ✨Freedom and empowerment to own problems and explore new ideas -we allow our consultants to actually be consultants, not just bodies
  • 🧑🤝🧑A supportive, friendly team -we work hard and enjoy spending time together, whether it's in-person at socials or via silly Slack conversations

📧 If you require any support with your application, please contact


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Consultant Data Analyst

Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh

Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh

Senior Consultant - Data Analyst

Senior Consultant - Data Scientist

Senior Consultant, Data Engineer, AI&Data, UKI, London

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.