55 Statistical Analysis jobs in the United Kingdom

Our client is on the lookout for a passionate and skilled Data Engineer to join their dynamic Data Team.

This is a Fixed term contract as a Mat cover for a period of 8 months

This role is a fantastic opportunity for someone who is driven and possesses a solid understanding of SQL, various scripting languages, and Excel. This will be flexible hybrid working model, combining in-office collaboration with the convenience of remote work. However, it's important for the candidate to be based in Dorset or its surrounding areas, as they value the synergy of face-to-face interactions.

Some of your responsibilities would include:

• Process Automation: Contribute to the automation of daily business activities, streamlining workflows for efficiency and effectiveness.
li>Data Analysis and Organization: Spend time with raw data to cleanse, structure, and ready it for integration into our bespoke system, ensuring data quality and accessibility.
• Solution Development: Utilize your scripting and SQL expertise to create innovative data solutions that support and enhance our operations.
• Ticket Management: Efficiently handle ticketed tasks, prioritizing and resolving issues to maintain smooth business operations.
• Continuous Improvement: Proactively identify and suggest enhancements to our existing systems and processes, liaising with our in-house Development team to implement these improvements.
• Innovation: Scout for opportunities to implement time-saving measures across the company, playing a key role in their development and deployment.

Skills and Competencies

Requirements:

• Advanced SQL skills with at least 2 years of practical experience
• Possess a strong foundation in Python and/or other scripting languages, enabling you to tackle diverse data challenges.
• Advanced Excel capabilities, including complex formulae and pivot tables.
• A basic understanding of Hyper-Text-Markup-Language (HTML)
• The ability to engage effectively with key stakeholders, understanding and translating their needs into technical requirements.
• Possess outstanding communication and interpersonal skills, facilitating clear and effective collaboration within and outside the team.

Desirables:

• Familiarity with the Apache Airflow platform.
• Basic knowledge of BI tools such as Power BI to support data visualization and insights.
• Experience with version control using GIT for collaborative and organized code management.
• An understanding of C#/Javascript to identify system-driven data transformations.
• Experience using cloud solutions, particularly Azure and the Fabric Platform.
• Familiarity with Power Query in Excel for efficient data integration and ability to translate existing processes into a scripting language.

Data Science Lead - Product

75,000
Hybrid - Central London (2-3 days onsite: Tues, Wed, Thurs)
Permanent | Full-time

Mentmore have been exclusively engaged by one of the world's leading Law firms to build out their Data Science capability. My client is looking for someone to sit within the Data Product area and lead the Data Science capability for the Product organisation. They're investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business.

What You'll Do

• Lead the development of innovative, enterprise-grade data solutions and advanced analytics capabilities, working on high-impact initiatives including AI, automation, and new data products.
• Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools.
• Collaborate across Product, Platform, and Engineering teams to ensure your solutions are scalable and robust.
• Take ownership of solution design, prototype development, strategic experimentation and integrating solutions into broader product and platform architecture
• Contribute to the firm's AI strategy and roadmap

• Build robust, interpretable models for forecasting, classification, clustering, and optimisation.

• Act as a change agent - helping business users understand the why , not just the what .
• Mentor and support other data scientists, nurturing a culture of experimentation and excellence.

What You Bring

• A strong data science background with experience in fast-paced, commercial environments.
• Strong background in Python , SQL , and Power BI .
• Experience designing and delivering end-to-end analytics solutions .
• Comfortable engaging with senior stakeholders and translating business goals into data strategy.
• A collaborative, people-first approach - you bring others with you on the journey.
• Bonus: experience leading small teams or mentoring junior talent.

Why This Role Rocks

• Be part of a Product-led Innovation team where experimentation is encouraged and supported.
• Shape the data strategy and deliver solutions that will have immediate and visible business impact.
• Work cross-functionally with Product, Engineering, and Legal Innovation teams.
• Be seen. Be heard. Have real influence.

Our client is on the lookout for a passionate and skilled Data Engineer to join their dynamic Data Team.

This is a Fixed term contract as a Mat cover for a period of 8 months

This role is a fantastic opportunity for someone who is driven and possesses a solid understanding of SQL, various scripting languages, and Excel. This will be flexible hybrid working model, combining in-office collaboration with the convenience of remote work. However, it's important for the candidate to be based in Dorset or its surrounding areas, as they value the synergy of face-to-face interactions.

Some of your responsibilities would include:

• Process Automation: Contribute to the automation of daily business activities, streamlining workflows for efficiency and effectiveness.
li>Data Analysis and Organization: Spend time with raw data to cleanse, structure, and ready it for integration into our bespoke system, ensuring data quality and accessibility.
• Solution Development: Utilize your scripting and SQL expertise to create innovative data solutions that support and enhance our operations.
• Ticket Management: Efficiently handle ticketed tasks, prioritizing and resolving issues to maintain smooth business operations.
• Continuous Improvement: Proactively identify and suggest enhancements to our existing systems and processes, liaising with our in-house Development team to implement these improvements.
• Innovation: Scout for opportunities to implement time-saving measures across the company, playing a key role in their development and deployment.

Skills and Competencies

Requirements:

• Advanced SQL skills with at least 2 years of practical experience
• Possess a strong foundation in Python and/or other scripting languages, enabling you to tackle diverse data challenges.
• Advanced Excel capabilities, including complex formulae and pivot tables.
• A basic understanding of Hyper-Text-Markup-Language (HTML)
• The ability to engage effectively with key stakeholders, understanding and translating their needs into technical requirements.
• Possess outstanding communication and interpersonal skills, facilitating clear and effective collaboration within and outside the team.

Desirables:

• Familiarity with the Apache Airflow platform.
• Basic knowledge of BI tools such as Power BI to support data visualization and insights.
• Experience with version control using GIT for collaborative and organized code management.
• An understanding of C#/Javascript to identify system-driven data transformations.
• Experience using cloud solutions, particularly Azure and the Fabric Platform.
• Familiarity with Power Query in Excel for efficient data integration and ability to translate existing processes into a scripting language.

Data Science Engineer

Crawley 1 day a month in the office

At Peregrine, were constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector we are always in search of the best talent to place, now.

How Speciali.

WHJS1_UKTJ

Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.

• Interact with our clients on regular basis, to drive their business towards impactful change.

• Work in multidisciplinary teams and learn from motivated colleagues.

• A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.

• Become part of a fast growing international and diverse team.

• Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.

• Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.

• Communicate analyses via compelling presentations.

• Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.

• Prepare and facilitating workshops.

• Manage stakeholders and communicating with executives.

• Coach and mentor team members.

• 3-5 years of professional work experience in the analytics domain.

• An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).

• An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.

• Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.

• Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).

• Ability to talk the language of statistics, finance, and economics a plus.

• Profound knowledge of the English language.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

About Us

YouLend is a rapidly growing FinTech Company that is the preferred embedded financing platform for many of the world’s leading e-commerce sites, tech companies and payment services providers. Our software platform enables our partners to offer flexible financing products in their own branding to their merchant base without capital at risk.

We believe that the future of financial services will be delivered by customer-oriented tech companies that embed financing in their customer journeys, and we are building the solutions that will power that future.

The Role:

As our Lead Machine Learning Engineer, you’ll spearhead our machine learning initiatives, shaping the future of data-driven strategies across every stage of our operations — from loan origination to debt collection. You’ll have the opportunity to lead the development, enhancement, and maintenance of pioneering machine learning models that transform complex data into actionable insights and substantial value.

Requirements

You will be responsible for machine learning, leading, mentoring and supporting anyone working on machine learning. There will be no line-management responsibilities to begin with, but that may well be added later.

Essential Skills:

• Machine learning experience in the real world
• Excellent ability to communicate with people with different backgrounds, including mentoring/teaching
• Low ego / team player
• Evolved problem solving skills
• Machine learning expertise and experience
• Fluent in Python
• Used to software development best practices and workflow

Desirable:

• MLOps tools like AWS Sagemaker, knowledge and understanding of full machine learning pipeline
• AWS
• dbt
• Snowflake
• Tableau

Salary: £90,000 - 150,000 + 20% Annual Bonus (based on performance)

Benefits

Why join YouLend?

At YouLend, we champion diversity and embrace equal opportunity employment practices. Our hiring, transfer, and promotion decisions are exclusively based on qualifications, merit, and business requirements, free from any discrimination based on race, gender, age, disability, religion, nationality, or any other protected basis under applicable law.

We offer comprehensive benefits package that includes:

• Stock Options
• Private Medical insurance via Vitality
• EAP with Health Assured
• Enhanced Maternity and Paternity Leave
• Modern and sophisticated office space in Central London
• Free Gym in office building in Holborn
• Subsidised Lunch via Feedr
• Deliveroo Allowance if working late in office
• Monthly in office Masseuse
• Team and Company Socials
• Football Power League / Squash Club

About Low Carbon

Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.

Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.

All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.

We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.

Role Description

The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.

In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.

For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals

Key Responsibilities

Working with other interns and project mentors, you will:

• Use Data Science to help solve a specific, live business challenge at Low Carbon
• Frame and structure practical solutions to challenging business problems
• Work in Agile Sprints to iteratively design, test and run trial solutions
• Present findings and key recommendations to senior stakeholders

Person Specification

• Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
• A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
• Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
• An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
• Energetic, reliable, adaptable and used to using their initiative
• A friendly, approachable and professional manner

Skills & Experience

• Practical experience of Programming in Python
• Demonstrable Data Science project experience (inside or outside classroom)
• Sound knowledge of fundamental statistical concepts
• Excellent problem-solving ability
• Ability to communicate results and present findings to a variety of stakeholders

Our Compensation & Benefits

• Competitive salary
• 26 days holiday + your birthday off (pro-rata for the duration of your internship)
• Lots of office social events
• Working in newly fit-out offices in Central London
• Get to work with an experienced, talented team of renewable energy professionals
• Be a part of a dynamic, entrepreneurial mission driven culture
• Make your unique contribution to the fight against climate change