2,772 Data Search Analyst jobs in the United Kingdom

KNOWING WHAT, WHERE, HOW, WHEN AND WHY REQUIRES REAL TALENT, NOT JUST CURIOSITY

SHARE YOUR PASSION

Intelligent ideas come off the production line non-stop when you have intelligent concepts in place. Long before our premium vehicles reach the road, the delivery of materials from all over the world needs to be set in motion. With expertise and experience, with vision and commitment, with creative solutions and pleasure in effective collaboration. Share your enthusiasm for putting ideas into practice.

BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three- and four-cylinder petrol engines, and precision machining key engine components, the plant will soon be celebrating 25 years successful of production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group's global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles.

BMW Hams Hall, Birmingham – Internship Data Science – 13-Month Placement (July 2026)

Join our award-winning Innovation and Digitalisation team at BMW Plant Hams Hall for an enriching 13-month Data Science Placement. This role offers a unique blend of responsibilities and opportunities, working with state-of-the-art technologies and complex data systems integral to our production processes.

What awaits you?

As the recipient of the UK Manufacturer Smart Factory Award 2023, our team provides an unparalleled platform for you to translate your passion for data science into real-world applications within an industry-leading setting. Expect to make a tangible impact and be given the responsibility and freedom to develop your skills in a dynamic, agile environment.

• Innovative Problem-Solving: Utilize statistical analysis and artificial intelligence to tackle challenges in predictive maintenance and optimize logistics operations.
• Ownership & Innovation: Engage with our "Fully Connected Digital Twin" to drive innovation and lead projects alongside our dedicated associates.
• Collaborative Opportunities: Work alongside top external tech companies to spearhead innovation initiatives.
• Cutting-Edge AI Exploration: Investigate generative AI applications, including the development of a Copilot tool aimed at enhancing operational transparency and efficiency.
• Advanced Cloud Technology: Enhance your expertise in cloud computing by using platforms and tools from AWS, Azure, and other

What should you bring along?

• Academic Excellence: Pursuing a degree in Mathematics, Statistics, Computer Science, Data Science, Engineering, Physics, or a related field, with a strong academic record.
• Communication Skills: Exceptional verbal and written communication abilities.
• Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking.
• Technical Proficiency: Programming experience with a preference for Python & JavaScript skills – opportunity to deviate from this where appropriate.
• Database Knowledge: A grasp of using SQL databases is beneficial.
• Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition.
• Business Intelligence Insight: Experience with business intelligence or familiarity with low/no code platforms is advantageous.

What can you look forward to?

• Great Pay – A competitive annual salary of £26,600, 26 days holiday per annum (pro rata to your contract) and an attractive pension scheme.
• Rewarding Work-Life Balance – Contracted working hours are 39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance.
• Exciting Additional Benefits – You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts.

What do you need to do now?

If you apply, the next stages of the recruiting process include online testing, an in-person assessment centre and then a virtual interview with the hiring manager.

Please note:

To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK.

We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

Closing date for applications: Friday 31st October 2025

Any further questions? Email us on recruitment-

Data Science - Placement Year

Automotive

Coleshill

United Kingdom

Legal entity:

BMW Hams Hall Motoren GmbH

Location:

Coleshill

Job field:

Data Science

Job ID:

Publication date:

Internship

Full-time

Start date

6 July 2026

Salary

£27,010 per annum pro rata

Duration

8 weeks

About This Programme
Data Science is at the heart of decision making and customer treatments at Sky. We provide analytics to inform customer growth strategies, create tooling to drive personalised customer treatments, and champion test-and-learn through experimentation.

You'll learn from the best in the industry and get support in bringing your ideas to life. Impress us, and we may offer you a full-time position on a graduate programme once you graduate.

What you'll be doing

On our Data Science internship, you'll have exposure across the business as you work with stakeholders to help drive decision making using the power of data and insights. You'll learn analytical techniques and use cutting-edge predictive algorithms to deliver valuable insight to the business. You could be helping to build our next data product, predicting future customer behaviour, or unlocking the value of our content.

You'll get exposure to one of our Data Science teams in Sky Data:

• Data Science & Analytics – Consumer – Work closely with commercial teams, building data science models and data products to help inform and drive strategic decisions
• Data Science & Analytics – Content – Work with viewing data to build personalised customer experiences and help customers discover more of what they love
• Data Science & Analytics – Product & Operations – Work with product teams to build new data tools and improve the effectiveness and performance of the products our customers use every day

What we're looking for

You're a graduate from any degree discipline, or will soon be. You may have studied maths, statistics, computer science, economics, or physics, or be able to demonstrate your understanding of data through personal or university projects. What matters most is your passion for data and the drive and ambition you can bring to the team.

Other Skills We Value Include

• Logical, end-to-end thinker
• Enthusiastic problem-solver with numerical, presentation, and IT skills
• Previous experience in data manipulation using Python, SQL, R, SAS, MATLAB
• Academic experience in machine learning, including supervised/unsupervised learning, regression, decision trees, random forests, and boosting
• Enjoy task-focused delivery, fast-paced environments, and overcoming challenges
• Collaborative, great with people, and keen on following recent trends in the market

Right to work

To be eligible for this role, you must have the appropriate right to work in the UK for the duration of the programme.

Please note that Sky does not offer sponsorship for this programme.

Status

Applications open now

Application deadline: 3 November 2025

Due to high application volumes, we may close applications earlier than expected — but not before 20 October 2025.

Note: You can only apply to one programme.

As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.

Data Science Manager Responsibilities:

• Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
• Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
• Influence product direction through clear and compelling presentations to leadership
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
• Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
• A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
• Experience initiating and completing analytical projects with minimal guidance
• Experience communicating results of analysis to leadership

Preferred Qualifications:

• Proven track record of leading impact oriented analytics teams.
• Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
• Experience working in technology, consulting, or finance.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Part-Time AI Developer – Oracle AI Solutions (Contract Role, Portsmouth Based)

Location:
Portsmouth (Hybrid working available)

Hours:
Part-time, flexible

Contract Type:
Contract position – ideal for professionals with other part-time commitments

We're seeking a skilled
AI Developer
to support the delivery of Oracle AI solutions on a
part-time contract basis
. This opportunity is well-suited to someone already engaged in other part-time work and looking to contribute to impactful AI projects. UK SC clearance will be required prior to the commencement of the contract, Carbon60 Project Services are able to sponsor the successful candidate.

Key Responsibilities:

• Design and implement machine learning models using
  Oracle Cloud Infrastructure (OCI) AI services
• Develop solutions using the
  OCI Data Science platform
• Build computer vision and document understanding applications
• Create and optimise
  natural language processing (NLP)
  tools
• Deploy and manage AI models in production environments
• Implement
  AutoML
  solutions to accelerate development

Ideal Candidate:

• Experience with OCI or similar cloud platforms
• Strong understanding of machine learning, NLP, and computer vision
• Comfortable working independently and managing flexible hours
• Motivated by solving real-world problems with AI

What We Offer:

• Flexible hours to fit around other commitments
• Opportunity to work on cutting-edge AI projects
• Hybrid working options based in Portsmouth

Interested? Apply now or get in touch to learn more.

At JTI we celebrate differences, and everyone truly belongs.
46,000 people from all over the world
are continuously building their unique success story with us.
83% of employees feel happy
working at JTI.

To make a difference with us, all you need to do is bring your
human best.
What will your story be? Apply now

Learn more
Please, apply up until September 15th, 2025
Please join us in PUTNEY as a DATA SCIENCE MANAGER
With the development of new products within JT Group, the SRA S&H Data Analysis team is experiencing a growing demand for statistical analyses to support product launches, regulatory submissions, and registrations. To strengthen this effort, we are seeking a Junior Data Science Manager who will contribute to data analysis projects and help maintain and enhance the SRA big data platform, including dashboarding and machine learning functionalities.

Position Overview
As a Data Science Manager, you will

• Support the proper handling and organisation of data across the SRA Big Data platform
• Assist with running syntax in Python/R/SAS to produce clear and accurate outputs (e.g., tables, figures) for internal and external stakeholders
• Apply appropriate scientific and statistical methods under guidance, ensuring high-quality deliverables
• Collaborate with internal and external partners to build strong working relationships
• Stay curious, open to feedback, and committed to learning new data science and statistical techniques

Skills And Qualifications
We welcome early-career professionals eager to grow with us

• Master's degree in Data Science, Statistics, or a related field (preferred)
• Some experience in data science, statistics, or a similar analytical role, with exposure to machine learning techniques, is a plus, but not essential
• Familiarity with MS Office (Word, Excel, PowerPoint)
• Exposure to MS Azure, Databricks, and Power BI is an advantage
• Proficiency in at least one scripting language (Python, R, or SAS)
• Strong analytical mindset with attention to detail
• Ability to work independently while seeking guidance when needed
• Clear communication skills, with the ability to explain technical results in a business-friendly way
• Enthusiasm for technology, problem-solving, and teamwork
• Fluency in English (written and verbal); additional languages are a plus

How We'll Reward You
In return, we offer a competitive salary of £ per annum, dependent on experience and a car allowance of £7,611 per annum. We'll also provide you with a comprehensive benefits package that's flexible to suit you and your lifestyle including a discretionary 20% bonus scheme and money to spend on a range of flexible benefits from share schemes to discounted gym memberships.

It is important to us that you have a good work life balance so to encourage this we offer flexible working, working from home (50%) and 25 days holiday per annum which you can buy and sell to suit your needs. We know how important the future is, so we offer a very competitive non-contributory pension. For peace of mind for you and your family we also provide fully funded private medical insurance, life assurance, income protection and health screening.

Inclusion
At JTI, we want everyone to feel welcome, regardless of your background or needs. If you need adjustments making to your working environment, we'll do everything we can to support you. As an employer, we are committed to promoting & protecting the physical and mental health of our employees.

Next Steps
Are you interested in applying? If so, please apply with your CV and a covering letter highlighting your suitability for the role.

Are you ready to join us? Build your success story at JTI. Apply now

Next Steps

After applying, if selected, please anticipate the following within 1-3 weeks of the job posting closure Phone screening with Talent Advisor > Assessment tests > Interviews > Offer. Each step is eliminatory and may vary by role type.

At JTI, we strive to create a diverse and inclusive work environment. As an equal-opportunity employer, we welcome applicants from all backgrounds. If you need any specific support, alternative formats, or have other access requirements, please let us know.

• What we're doing here at Monzo excites you
• You must have at least 4 years of experience as a Data Science Manager
• You are a strong strategic data leader and love to drive decisions
• Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines
• You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same
• You know how to build confidence with senior leaders across the business
• You have strong product knowledge and have built data products previously
• You have experience working with teams that build ML models and you understand how to build the right data set for ML models

• Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science
• In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers' problems - delivering award winning customer support - and is full of data challenges
• Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently
• You'll work closely with the Product and Engineering in an agile product environment
• You'll champion the use of data, bring ideas to life through a rigorous analytical approach
• Your work will focus on improving our efforts in customer demand insights & help assistance
• You'll help your team grow, hiring new team members, supporting their personal development
• You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you'll get to see the impact of all your work in the product changes we make
• We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses
• Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo Operations world class for everyone
• Help hire, develop and retain talented Data people
• Generate insights that can change the direction of our customer operations strategy
• Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Liaise with product and engineering managers to make sure we collect the right data to produce relevant business insights

• Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions
• 30 minute recruiter call
• 45 minute call with hiring manager
• 3 x 1-hour video calls with various team members
• Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process

• Yearly Salary Review + Proactive pay increases to reflect growing responsibilities + Share options
• Flexible working hours
• Work From Home Opportunities + we'll pay for any equipment you need to do your job
• 24 days holiday a year, plus bank holidays
• Paid sick leave for both physical & mental health + Health insurance via AXA or Vitality + Additional health insurance through Medicash
• Employee Assistance Programme
• Learning budget of £1,000 a year
• Aviva Pension Scheme + 4% Employer Contribution
• Paid maternity, paternity, adoption or shared parental leave (after 13 weeks of employment)
• 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
• 3 months of secondary caregiver leave at 100% pay
• Unum Life Insurance
• Access to fertility and family-forming health benefits via Fertifa
• Abellio Season Travel Tickets + Cycle-to-Work Scheme

Bold innovation and leadership. Informed decision-making. Impacting the future.
Senior Data Science & Automation Manager
£63,000- £69,000 + benefits

Reports to:
Head of Data Science & Performance

Grade:
M2

Directorate
: Marketing, Fundraising & Engagement

Contract
: Permanent

Hours:
Full time 35 hours per week

Location:
Stratford, London . Office-based with high flexibility (1-2 days per week in the office)

Visa sponsorship:
You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is
not
able to offer visa sponsorship.

Closing date:
17 September 2025, 23:55

This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible.

Recruitment process:
Two competency-based interviews (potentially with an exercise included)

Interview date:
From the week commencing 22 September 2025

How do I apply?
We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively.

At Cancer Research UK, we exist to beat cancer.
We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you.

Cancer Research UK has a vision to bring about a world where everybody can lead longer, better lives, free from the fear of cancer. However, to achieve our mission and grow our funding, we must build even greater momentum and urgency around our cause, and engage and inspire millions of people in deeper, more meaningful ways to join our mission. Therefore, we have created a long-term Engage Strategy and designed a bold transformation programme which aims to better harness data and digital marketing technology to deliver more relevant, trusted, and frictionless experiences for our audiences (and in turn drive growth).

As a Senior Data Science & Manager, you will play an essential role in helping us achieve this mission to place data and audiences at the core of our decision-making process by leading our newly created Data Science & Automation team. You will provide strategic leadership for data science and build Machine Learning and AI capabilities to enhance our supporter experience across the organisation. This will involve identifying opportunities to apply data science across the supporter lifecycle, championing a culture of statistical rigour and high-performance, and implementing industry best practices, methodologies, and tools across data science, Machine Learning Operations (MLOps), and modelling initiatives.

You'll have the opportunity to collaborate with stakeholders and senior leaders, while managing and developing a talented team of four Data Scientist. Furthermore, you will play an influential role in creating and nurturing a strong data science culture across our Marketing, Fundraising & Events (MFE) directorate and the wider organisation as part of the largest transformation programme in the history of the UK's charity sector.

If you are a Data Science & Automation Manager who has designed and implemented robust Data Science and MLOps processes and led a data analysis & modelling function in a large B2C marketing-led organisation, we'd love for you to join our mission.

What will I be doing?

• Establishing and leading Cancer Research UK's newly formed Data Science & Automation team as part of our Marketing, Fundraising & Engagement (MFE) directorate.

• Building the organisation's Machine Learning and AI capabilities to enhance our supporter experience through highly sophisticated personalisation.

• This includes driving data-driven decisions that place our audiences at the core of our decision-making process across the charity.

• Providing strategic leadership for data science across the organisation, developing our long-term roadmap for AI and Machine Learning across Cancer Research UK.

• Championing for data science across the organisation, using a science-led experimentation mindset to ensure trust is built on sound statistics and performance.

• Being a Machine Learning Operations (MLOps) expert and leader, which involves:

• Coaching and developing the Data Science & Automation team on all aspects of this process and best practices.

• Provide expertise and guidance as a subject matter expert across the organisation.

• Collaborating with stakeholders across MFE to:

• Identify opportunities for applying machine learning and AI across the supporter lifecycle.

• Utilise data science as a key performance differentiator and to enable innovation, improve performance, and unlock deeper supporter insights to help accelerate our mission.

• Providing senior technical expertise and guidance across data and modelling initiatives, leveraging the latest industry best practices, methodologies, and tools in alignment with internal compliance frameworks.

• Leading the design, development, and implementation of robust MLOps processes for the team—covering the full lifecycle from data ingestion and model development to deployment, ongoing monitoring, and performance optimisation.

• This includes predictive and propensity modelling.

• Creating and embedding an experimentation and measurement approach for all data science initiatives.

• Developing and implementing Large Language Modelling (LLM) capabilities into Cancer Research UK (such as summarisation tools and smart search).
• Line managing a team of four Data Scientists while coaching them to upskill in MLOps, Python via AWS, and Sagemaker/ Snowpark.
• Driving efficiencies and automation across the Data, Insight & Performance department.

What are you looking for?

• Experienced Data Science & Automation Manager who has led a data analysis & modelling function in a large, complex B2C marketing-led organisation with a digital-first approach.

• We welcome applicants who meet the advertised criteria from the following backgrounds: data science, decision-science, decision-intelligence, advanced analytics, predictive analytics, data & AI, and robotic process automation (RPA).

• Expertise in technical coding language and data visualisation tools (e.g. SQL, Python, Snowflake, PowerBI, Databricks, GA) with experience implementing best practices, guidance, and standards.

• Strategic and audience-focused mindset with experience using statistical analysis to understand and drive value from consumer behaviour.

• This includes setting up supervised & unsupervised learning models, covering data cleaning, data analytics, feature creation, model selection, performance metrics, and visualisations.

• Successful track record of productionising and managing a suite of models with a solid grounding in the principles and application of MLOps (e.g. Snowpark, MLFlow, and Github).

• Solutions-driven and continuous improvement mindset with experience creating high performing experimentation analytical support (such as test and learn approaches, multivariate testing, Machine Learning optimisation, and automation).
• Has successfully built credible and collaborative cross-functional stakeholder and senior leadership relationships with excellent interpersonal, communication, influencing, and coaching skills.
• Significant experience in managing, leading, and developing high-performing teams of data scientists (c. 4+ direct reports).

Our organisation values are designed to guide all that we do.

Bold:
Act with ambition, courage and determination

Credible:
Act with rigour and professionalism

Human:
Act to have a positive impact on people

Together:
Act inclusively and collaboratively

We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer.

If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you.

What will I gain?
We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.

You can explore our benefits by visiting our careers web page.

Additional Information
For more information about working with us please visit our website or contact us at

For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.

Our vision is to create a charity where everyone feels like they belong, benefits from and participates in, the work we do. We actively encourage applications from people of all backgrounds and cultures, in particular those from ethnic minority backgrounds who are currently under-represented.

We want to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore ask you to inform us of any concerns you have or any adjustments you might need to enable this to happen. Please contact or
0
as soon as possible.

Unfortunately, we are unable to recruit anyone below the age of 18, so that we can protect young people from health & safety and safeguarding risks.

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Key Tasks & Responsibilities

• Work closely with business partners to understand the business problems they are trying to solve and help develop and prioritize the best-suited analytics solutions.
• Collaborate in cross-functional teams and share ideas to solve complex business problems.
• Build strong partnerships with peers across the organization to support project goals and boarder team needs.
• Oversee the build of predictive models using advanced analytics techniques including GLMs, natural language processing, and machine learning.
• Develop powerful insights using a variety of analytical tools, techniques, and technologies, and deliver results which drive business decisions.
• Discover, explore, and analyse internal and external datasets for the purpose of developing advanced analytics models.
• Help establish best practices and repeatable processes for the Strategic Analytics team.
• Provide thought leadership on new, innovative techniques, approaches and software.
• Guide, support, mentor and develop the growing team of predictive modelers and data scientists.

Desired Skills

• Ability to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining.
• Data manipulation and analytical skills in languages such as Python, R and / or SQL.
• Familiarity with cloud-based platforms such as Databricks, Snowflake and Azure is an advantage, but not essential.
• Effective task / project management and general organization skills.
• Excellent verbal and written communications skills; ability to convey complex concepts to technical and non-technical people across the organization.
• Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships with business partners.
• Natural curiosity to understand the world around you and question as needed.
• Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
• Ability to apply critical thinking and creative problem-solving skills.

Experience

• Experience in advanced analytics roles, a significant portion of which should be in the insurance industry.
• Experience working in an analytical role within an insurance environment is an advantage.
• Hands-on experience developing and deploying real-time predictive models.
• Experience delivering business value from small or non-standard data sets.

Qualifications

• Degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14101 Arch Europe Insurance Services Ltd

Who are we?

Billigence is a boutique data consultancy with global reach, transforming the way organisations work with data. We design, tailor, and deliver cutting-edge data solutions across AI, data science, cloud platforms, and governance. Our mission is to help clients unlock the full value of their data and embed a scalable, data-driven culture.

About the role

We are seeking a highly skilled
Data Science Consultant
with expertise in
Microsoft Azure AI services
and
OpenAI
. The role will involve designing and delivering advanced AI and machine learning solutions on modern cloud platforms, working closely with client stakeholders to build scalable, intelligent applications. This is an exciting opportunity to apply technical expertise across
ML, Python, Databricks, and CI/CD pipelines
, while also leveraging advanced Azure services for search, data storage, and analytics.

What you'll do

• Design, develop, and implement machine learning models and AI-driven solutions.
• Leverage
  Azure AI services
  and
  OpenAI APIs
  to build scalable, production-ready applications.
• Work with
  Databricks
  to process, analyse, and transform large datasets.
• Implement and optimise
  Azure Search
  for intelligent information retrieval.
• Design and maintain
  Cosmos DB
  solutions for distributed data storage.
• Support deployment workflows with robust
  CI/CD pipelines
  .
• Collaborate with engineering teams to integrate AI solutions into front-end applications using
  JavaScript and React
  .
• Provide best practices and thought leadership in AI and data science to clients and internal teams.

What you'll need

• Proven experience in
  Data Science
  roles with expertise in
  Azure AI Services
  and
  OpenAI
  .
• Strong programming skills in
  Python
  and applied
  machine learning
  .
• Hands-on experience with
  Databricks
  for data engineering and ML workflows.
• Knowledge of
  Azure Search
  and
  Cosmos DB
  .
• Experience building and managing
  CI/CD pipelines
  .
• Front-end development exposure with
  JavaScript (React preferred)
  .
• Strong communication skills and ability to work with both technical and non-technical stakeholders.
• Problem-solving mindset and ability to deliver results in fast-paced environments.

Inclusion and equal opportunities

We are always on the lookout for talented individuals to join our team at Billigence. We are an equal-opportunity and inclusive employer and are committed to creating an inclusive environment for all applicants and employees. We will consider all applicants for employment without regard to race, ethnicity, national origin, religion, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status.

Got any questions?

If you are a talented and experienced Data Expert who is passionate about working on cutting-edge AI and cloud projects, we'd love to hear from you

For any questions related to the application process, please contact