Machine Learning Consultant, Principal - Newcastle

Senior ML/Data Science Consultant, Principal, Technology Consulting

Would you like to help build a world-class advanced analytics and engineering organisation in one of the UK’s fastest-growing technology consultancies? We’re looking for outstanding consultants who want to use their passion and deep expertise for Data Science and ML/AI enablement to deliver the next generation of AI solutions for our clients.

Credera helps organisations solve their biggest, most challenging business problems by enabling powerful insights from their data. We’ve helped one of the biggest global brands to create competitive advantage via AI-powered social media analytics; delivered advanced ML-enabled trading solutions; built streaming analytics platforms that protect the country and created massively scalable data platforms for some of the world’s biggest companies. We do all this in a work environment where regular social events, inclusivity and an ego-free culture mean we’ve been officially voted a “Great Place to Work” for five years in a row.

We draw on our reputation for outstanding delivery to allow our consultants to do the right thing for our clients, and not necessarily the easy thing. Innovation is in our DNA, and we encourage our consultants to work together to rethink conventional wisdom on how problems should be solved.

Here’s what you will do

As a Consultant at Credera, you will spend most of your time on client work, solving interesting problems, with the remainder of your time spent working on internal projects and I.P. as well as training and development.

For our senior consultants, we expect a significant level of hands-on experience with analytics-related technologies and the gravitas to engage with C-level client stakeholders. Our Principals are seen as thought leaders and neutral advisors who help solve complex business problems through the intelligent application of data and technology.

In this role, you’ll:

Collaborate with our clients to help shape their ML/AI strategy by understanding their businesses and objectives. You would typically be engaged with C level and/or senior stakeholders and navigate this complex landscape to align their ML/AI strategy with business objectives;

Demonstrate thought leadership by not just implementing clients’ ML/AI strategy but also by advising them about the latest innovations in the market, helping them develop a well-rounded view;

Partner with and coach client Data Science teams to enable them to deliver high-value insights and models, and deliver sustained value through effective operationalisation;

When needed, roll up your sleeves to identify, design, and implement the tools clients need to deliver, operationalise, and monitor insights, enabling end-to-end MLOps;

Work closely with data/analytics engineering teams overseeing the building and operationalisation of ML pipelines, using agile and CI/CD methodologies;

Draw upon your Data Science expertise to discover and assess a broad range of datasets to address our clients’ needs, and deliver value from the data using a variety of supervised, unsupervised and optimisation-based ML models;

Advise clients about potential data ethics and bias implications appropriate to their industry and the ML solutions they are building;

Deliver recommendations and expertise in ML technology across a range of public cloud platforms, especially AWS, Azure and GCP;

Contribute significantly to the Data practice by developing ML/AI propositions and coaching and developing colleagues’ skills.

Hours

This is a permanent role within our technology function. We consider flexible ways of working that allow the best outcomes for our people and clients. Working closely with our clients is key to successful outcomes, and so travelling both the UK and international is a requirement.

Requirements

Who you are

You’re someone who is passionate about the evolution of ML/AI and the opportunities ahead. You are highly motivated to solve complex business problems for our clients through practical application of AI. You are perceptive, personable, culturally sensitive and demonstrate a high degree of emotional intelligence and are great at teasing out what stakeholders are really looking for and adapting your approach when they change their mind.

You’ll have deep expertise in at least one of the following areas, with good knowledge of the others:

1) Advanced Analytics and Data Science

Use of ML algorithms & techniques (e.g., Regression, Decision Trees, Bayes, K-Means, PCA)

Feature engineering techniques like scaling, normalisation etc

Statistical modelling, probability distributions and practical usage of these techniques

Simulation techniques and hypothesis testing

Good overall understanding of other optimisation techniques

2) ML Engineering

You would have gained credible experience and perspective in the following areas:

Sources of data and model bias and approaches to address them

Code and model optimisation techniques using Python/R/SQL

Familiarity with machine learning frameworks & libraries (like Keras, PyTorch, scikit-learn)

Advanced techniques to balance data skew and productionise through ETL pipelines

Managing model drift and retraining

3) ML Operations

You would have gained good understanding of ML project lifecycle from build to operationalisation through either direct involvement or through managing similar projects. Some of the example attributes are as mentioned below:

Experience of using one or more of the analytics cloud platforms such as Azure ML, Databricks, SageMaker, Vertex AI or DataIku (advantageous to have wider appreciation of available open-source frameworks like MLFlow)

Implement scalable solution infrastructure by applying DevOps, automation, and continuous integration approaches in context of ML/AI implementations

Suggest options around infrastructure set up (Parallel and distributed)

Understand the impact of introducing these technologies on the wider enterprise (e.g., reliability, support, security, auditing, compliance, authentication, and backups) and ways in which they can be integrated

4) Data Engineering

You would have had a strong foundation in data and in your current/previous roles, would have been

involved in the following areas –

Building data pipelines using Spark, Pandas, or similar technologies

Experience with modern cloud data platforms such as BigQuery, Synapse, Redshift, Snowflake etc.

Experience of building automated data quality checks and metrics

High level appreciation of Data Security and Data Governance principles

Experience creating and/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.)

Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc.)

Other Skills

You have strong consulting knowledge and experience

You can work collaboratively engaging with a range of stakeholders including C-level, business and technology teams

Strong analytical and problem-solving capabilities

Self-starter, with a desire to learn business subjects

Flexibility to travel to, and work in, other locations

Strong communication, presentation, and business writing skills along with the ability to manage and build strong relationships both internally and externally

Prior experience of delivering complex engagements either as a technical leader or a senior technical member of the team

Experience of full delivery life cycle coupled with the ability to deliver significant impact quickly

Proven ability to develop strong relationships and be able to Influence colleagues, senior client stakeholders, partners, and suppliers

Demonstrable knowledge of delivering business value to clients using advanced analytics technologies.

Who we are

Credera is a consulting firm focused on strategy, transformation, cloud, data, and engineering, with over 800 consultants around the globe. Our purpose is to make an extraordinary impact on our clients and our people. We adhere to Credera core values of Integrity, Tenacity, Personal Touch, Humility and Pragmatism at all times. Our inclusive culture has resulted in us receiving several Great Place to Work accolades, including the Excellence in Well Being Award 2020.

Have a look at some of the work we've completed on our website or reach out to us for more information: Case Studies (credera.co.uk).

Benefits

This is what you get in return

Along with a great company culture, Credera provides an exceptional compensation package including a competitive salary and a comprehensive benefit plan.

Our consistent growth over the years and entrepreneurial environment, provides an excellent platform to embark upon an exciting career path, where your contribution really counts, and we will recognise it. With personalised development opportunities, experienced colleagues around the globe and exciting client assignments, progression can be extremely rapid for high performers. We are a social bunch of people and connect as a team on a regular basis. You can also expect:

A highly collaborative working environment and great rates of pay (including base salary and bonus potential).

A range of flexible benefits consisting of well-being and lifestyle benefits.

A commitment to your development & continuous growth of skills through one-to-one mentoring and wide-ranging hands-on experience.

25 days’ holiday and the ability to flex this to 30 days if you chose to do so.

2 day’s CSR volunteering days.

Award-winning learning and development opportunities, including dedicated time and a wide range of choice in training courses.

Choice of brand new tech with personal budget to choose IT accessories & handset of your choice.

Learn more

As a part of Omnicom Precision Marketing Group, our more than 800 consultants across the globe partner with some of the world’s best-known brands in a variety of industries, including clients ranging from FTSE 100 companies to large government departments, delivering strategy and execution leadership to create tangible business results. Credera’s deep business acumen and technical expertise, combined with a deep dedication to build trusted relationships, unlocks extraordinary business performance to our clients. Our mission is to make an extraordinary impact on our clients and our people. More information is available at www.credera.co.uk.